Online ordering system and method utilizing normalized product feeds and insertion of order data without redirect

Abstract
Systems and methods for facilitating an on-line purchase of at least one item on behalf of a consumer are disclosed. A consumer may shop and purchase at least one item on a consolidated shopping (CS) website displaying one or more items available for purchase on one or more different merchant websites. The CS website provides consumers with advanced searching that takes into consideration a personal profile of the consumer, the consumer's previous shopping history, transactional data relating to a group of similar consumers, and the like. A host computer providing the CS website may access a merchant website selling the requested item, and order the requested item on behalf of the consumer, and charging a transaction fee, listing fee, receiving a rebate and/or offering a rebate for performing such. One embodiment allows a consumer to purchase/order multiple items from multiple websites in a single purchase request to the CS website.
Description
FIELD OF THE INVENTION

The invention generally relates to on-line purchases made by a consolidated shopping website, and more particularly, to advanced product searching and filtering of categorized product data from a plurality of merchants through the consolidated shopping website.


BACKGROUND OF THE INVENTION

With the proliferation of the Internet, more and more consumers are purchasing items on-line. Historically, if a consumer wanted to purchase, for example, clothing and auto parts on-line, the consumer either went to one website for the clothing and a different website for the auto parts, or to a single website selling both clothing and auto parts (e.g., www.sears.com). In the latter instance, if the consumer needs a type of clothing (e.g., a tuxedo) which is not available, and auto parts (e.g., tires) that are available, the consumer must still purchase the clothing and the auto parts from different websites.


Websites currently exist (e.g., www.froogle.com and www.mysimon.com) that consolidate catalogs from one or more merchants. However, these websites do not provide an integrated shopping experience since they refer the consumer to another website to purchase a specific item. In other words, these websites transfer the consumer to a different website that sells the particular item(s) the consumer wishes to purchase, so that the consumer may then purchase the item on the transferee website. Returning to the example above, if the consumer wishes to purchase the tuxedo and the tires, the consumer must complete two separate purchases. Thus, for items not sold on a single website, current methods and systems still require the consumer to purchase the items on two separate websites in two separate transactions.


Therefore, systems and methods are needed to enable a host computer providing a consolidated shopping website to order at least one item from at least one different merchant website on behalf of a consumer. Additionally, there is a need for systems and methods to provide compensation to an entity providing a service that allows a consumer to order multiple items sold on multiple websites in a “single transaction” as perceived by the consumer. Further, there is a need to provide advanced searching of products from a plurality of merchants through classification of products and analysis of consumer transactional history and a consumer profile.


SUMMARY OF THE INVENTION

The invention relates to an interactive website that may include item information from one or more merchants in order to present consumers with an integrated online shopping experience. In one embodiment, item information is provided directly from the merchant via any network, webpage, communication device, protocol or method discussed herein, and stored in any of the databases also discussed herein.


An integrated online shopping interface provides consumers with a variety of methods for searching for items from a plurality of merchants in accordance with item categories. Moreover, the invention provides for the analysis of a consumer's transaction history and profile information in order to provide search results that are more narrowly targeted to specific consumers and/or groups of consumers than what is provided by present day commerce systems.


Further embodiments of the invention relate to systems and methods to facilitate an on-line purchase of at least one item on behalf of a consumer. A host computer may provide a consolidated shopping (CS) website displaying one or more items available for purchase on at least one merchant website which is separate from the CS website. The host computer may receive a request from a consumer to purchase at least one item displayed on the CS website, and order the item on behalf of the consumer from one or more merchant websites selling the item and the host computer may receive compensation for providing such service.





BRIEF DESCRIPTION OF THE DRAWINGS

The foregoing aspects and many of the attendant advantages of this invention will become more readily appreciated as the same become better understood by reference to the following detailed description, when taken in conjunction with the accompanying drawings, wherein:



FIG. 1 is an illustration of a representative portion of an internetwork such as the Internet;



FIG. 2 is a pictorial diagram of a number of devices connected to an internetwork for processing item data from merchants or suppliers in accordance with the present invention;



FIG. 3 is a block diagram illustrating several of the components of a consumer device;



FIG. 4 is a block diagram illustrating several of the components of an import server;



FIG. 5 is a block diagram illustrating several of the components of a data scrub device;



FIG. 6 is a diagram illustrating the actions taken by a merchant server, an import server, a staging database, a merchant database, an item table and a buffer table to gather item information to allow a consumer to purchase items and/or services using a UPPS in accordance with the present invention;



FIG. 7 is a diagram illustrating the actions taken by a supplier server, an import server, a staging database, a merchant database, an item table and a buffer table to gather item information to allow a consumer to purchase items and/or services using a UPPS in accordance with the present invention;



FIG. 8 is an overview flow diagram illustrating a process for importing item data from an item feed into an import server;



FIG. 9 is an overview flow diagram illustrating a process for importing item data through multiple stage databases from an item feed;



FIG. 10 is a pictorial diagram of a number of devices connected to an internetwork which allow a consumer device also connected to the internetwork to purchase items and/or services in accordance with the present invention;



FIGS. 11A-11C and 12A-12B are exemplary webpages illustrating searching and shopping on an e-commerce site;



FIG. 13 is a flow chart illustrating an automated data scrub of a buffer table in accordance with the present invention; and



FIG. 14 is a flow chart illustrating a manual data scrub of a buffer table in accordance with the present invention.



FIG. 15 is a block diagram illustrating an exemplary embodiment of a system to facilitate an on-line purchase of at least one item by a consolidated shopping website; and



FIG. 16 is a block diagram illustrating one exemplary embodiment of a method to facilitate an on-line purchase of at least one item by a consolidated shopping website.





DETAILED DESCRIPTION OF EXEMPLARY EMBODIMENTS

Exemplary embodiments of the present invention will now be described with reference to the accompanying drawings and figures. These exemplary embodiments are described in sufficient detail to reveal the best mode of implementing the invention, and to enable those skilled in the art to practice the invention. It should be understood, however, that other embodiments may be realized and that logical and mechanical changes may be made without departing from the spirit and scope of the invention. Thus, the detailed description herein is presented for purposes of illustration only and not of limitation. For example, the steps recited in any of the method or process descriptions may be executed in any order and are not limited to the order presented.


For the sake of brevity, conventional data networking, application development and other functional aspects of the systems (and components of the individual operating components of the systems) need not be described in detail herein. Furthermore, the connecting lines shown in the various figures contained herein are intended to represent exemplary functional relationships and/or physical couplings between the various elements. It should be noted that many alternative or additional functional relationships or physical connections may be present in a practical system.


As will be better understood from the following description, the present invention is embodied at least in part in a Web site accessible via the Internet. As is well known by those skilled in the art, the term “Internet” refers to the collection of networks and routers that use the transmission control protocol/Internet protocol (“TCP/IP”) or next generation protocols to communicate with one another. A representative section of the Internet 100 is shown in FIG. 1. A plurality of local area networks (“LANs”) 120 in a wide area network (“WAN”) 130 are interconnected by routers 110. The routers 110 are special purpose computers used to interface one LAN or WAN to another. Communication links within the LANs may be twisted wire, coaxial cable, fiber-optic, wireless links or other communication links known to those skilled in the art. While communication links between networks may utilize analog telephone lines, digital lines, fiber-optic, wireless or other communication links known to those skilled in the art. Furthermore, computers, such as remote computers 140, and other related electronic devices such as telephones, personal digital assistants (“PDAs”), etc., can be remotely connected to either the LANs 120 or WANs 130 via a modem (not shown) and a temporary communication link, such as a telephone line or wireless connection (shown as a dotted line). As will be appreciated by those of ordinary skill in the art, the Internet 100 comprises a vast number of such interconnected networks, computers, and routers and that only a small, representative portion is shown in FIG. 1.


The Internet 100 has recently seen explosive growth by virtue of its ability to link computers located throughout the world. As the Internet 100 has grown, so has the Web. As will be readily appreciated by those skilled in the art, the Web is a vast collection of interconnected or “hypertext” documents formatted in the HyperText Markup Language (“HTML”) or other markup languages that are electronically stored at Web sites throughout the Internet 100. A Web site resides on a server computer such as the import server 400 illustrated in FIG. 4 connected to the Internet 100 that has storage facilities for storing hypertext documents and that runs Web server software 460 for handling requests for those stored hypertext documents. A hypertext document normally includes a number of hyperlinks, usually displayed on a monitor as highlighted portions of text, which link the document to another hypertext document stored at the same Web site or some other Web site located elsewhere on the Internet 100. Each hyperlink is associated with a Uniform Resource Locator (“URL”) that provides the location of the linked document on the Web server connected to the Internet. Thus, whenever a hypertext document is retrieved from any Web server, the document is considered to be retrieved from the Web. As is known to those skilled in the art, a Web server may also include facilities for storing and transmitting application programs, such as application programs written in the JAVA® programming language from Sun Microsystems for execution on a remote computer. Likewise, a Web server may also include facilities for executing scripts and other programs on the Web server itself.


A consumer or other remote user may retrieve hypertext documents from the Web via a Web browser application program. A Web browser, such as the NETSCAPE NAVIGATOR® browser or the MICROSOFT®. Internet Explorer browser, is a software application program for providing a user interface with the Web. Upon request from the consumer via the Web browser, the Web browser accesses and retrieves the desired hypertext document from the appropriate Web server using the URL for the document and a protocol known as hypertext transfer protocol (“HTTP”). HTTP is a higher level protocol than TCP/IP and is designed specifically for the requirements of the Web. It is used on top of TCP/IP to transfer hypertext documents between servers and clients. The Web browser may also retrieve application programs from the Web server, such as JAVA applets, for execution on the consumer device 300. It will be appreciated by those skilled in the art that protocols other than HTTP may be used. For example, a URL might designate the file transfer protocol (“FTP”) or Secure HyperText Transfer Protocol (“HTTPS”).


The present invention is directed to providing a UPPS allowing the ordering and purchasing of items from many different merchants on the Internet. One embodiment of the invention provides a UPPS having a common user interface. The common user interface allows the consumer to purchase items from different merchants using the same user interface. For example, if a consumer is searching for books, videos and appliances, the consumer will likely be presented with books, videos and appliances from several different merchants. The consumer, however, will be able to order Book A from Merchant A, and Book B from Merchant B using the same ordering form.


A system 200 of computers and devices to which the import server 400 and data scrub device 500 are also connected is shown in detail in FIG. 2. In addition to the data scrub device 500 and the import server 400, the system 200 includes at least one supplier server 210 and at least one merchant server 205. Moreover, those of ordinary skill in the art will recognize that while only one data scrub device 500, one import server 400, one merchant server 205 and one supplier server 210 are depicted in FIG. 2, numerous merchant servers 205, supplier servers 210, import servers 400 and data scrub devices 500 may be interconnected to operate in accordance with the present invention.


In one embodiment of the invention, the import server 400 generates webpages containing item information that can be viewed by the consumer using standard Web browsers. In another embodiment, the import server 400 creates a network presence, in which the import server 400 sends a customized data stream containing item and merchant information over the network to the consumer devices 300. The consumer device 300 uses a Web browser to provide a user interface configured to accept the data stream and to allow the consumer to search for and view item information, select items, and order items all using the same interface.



FIG. 3 depicts several of the key components of a consumer device 300 used by a consumer to order items via the Internet in accordance with the present invention. Those of ordinary skill in the art will appreciate that the consumer device 300 includes many more components than those shown in FIG. 3. However, it is not necessary that all of these generally conventional components be shown in order to disclose an illustrative embodiment for practicing the present invention. As shown in FIG. 3, the consumer device 300 includes a network interface unit 330 for connecting to a LAN 120 or WAN 130. As will be appreciated by those of ordinary skill in the art, the network interface unit 330 includes the necessary circuitry for such a connection, and is also constructed for use with the TCP/IP protocol, the particular network configuration of the LAN 120 or WAN 130 it is connecting to, and a particular type of coupling medium. Alternatively, the consumer device 300 may also be equipped with a modem for connecting to the Internet through a point to point protocol (“PPP”) connection or a serial line Internet protocol (“SLIP”) connection as known to those skilled in the art.


The consumer device 300 also includes a central processing unit 310, a display 340 and a memory 350 connected via a bus 320. The memory 350 generally comprises random access memory (“RAM”), and read-only memory (“ROM”) and a persistent mass storage device such as a hard disk drive. The memory 350 stores an operating system 355 for controlling the operation of the consumer device 300. The memory 350 also includes a Web browser 360, such as the NETSCAPE NAVIGATOR® browser or the MICROSOFT®. Internet Explorer browser, for accessing the Web. Web browser 360 may also store a JAVA virtual machine used to execute JAVA “applets” as known to those skilled in the art. It will be appreciated that these components may be stored on a computer-readable medium and loaded into memory 350 of the consumer device 300 using a drive mechanism associated with the computer-readable medium, such as a floppy or a CD-ROM/DVD-ROM drive or the network adapter 330.


Although in one embodiment the consumer device 300 is a personal computer, those of ordinary skill in the art will appreciate that the consumer device 300 could be a wireless device such as a pager, a cellular telephone, Web-enabled landline telephone, PDA or any other type of consumer device 300 capable of communicating with the import server 400.



FIG. 4 depicts several of the components of an import server 400 used to implement the present invention. Those of ordinary skill in the art will appreciate that the import server 400 includes many more components than those shown in FIG. 4. However, it is not necessary that all of these generally conventional components be shown in order to disclose an illustrative embodiment for practicing the present invention. As shown in FIG. 4, the import server 400 is connected to the Internet 100, or other communications network, via a network interface unit 430. Those of ordinary skill in the art will appreciate that the network interface unit 430 includes the necessary circuitry for connecting the import server 400 to the Internet 100, and is constructed for use with the TCP/IP protocol.


The import server 400 also includes a central processing unit (“CPU”) 410, a display 440, and mass memory 450, connected via a bus 420. Mass memory 450 generally comprises RAM, ROM, and some form of persistent mass storage device, such as a hard disk drive, tape drive, optical drive (such as CD-ROM or DVD-ROM), floppy disk drive, or combination thereof. Mass memory 450 stores an operating system 455 for controlling the operation of the import server 400. It will be appreciated that the operating system may be formed by any one of several server operating systems well known to those of ordinary skill in the art, such as UNIX®, MAC OS® or MICROSOFT® WINDOWS NT®. In addition, mass memory 450 stores import scripts 460, as well as image processor software 465 for extracting and/or retrieving item images.



FIG. 5 depicts several of the key components of an exemplary data scrub device 500 used to implement the present invention. Those of ordinary skill in the art will appreciate that the data scrub device 500 includes many more components than those shown in FIG. 5. However, it is not necessary that all of these generally conventional components be shown in order to disclose an illustrative embodiment for practicing the present invention. As shown in FIG. 5, the data scrub device 500 includes a network interface unit 530 for connecting to a LAN 120 or WAN 130 (FIG. 1). As will be appreciated by those of ordinary skill in the art, the network interface unit 530 includes the necessary circuitry for such a connection, and is also constructed for use with the TCP/IP protocol, the particular network configuration of the LAN 120 or WAN 130 it is connecting to, and a particular type of coupling medium. Alternatively, the data scrub device 500 may also be equipped with a modem for connecting to the Internet through a PPP connection or a SLIP connection as known to those skilled in the art.


The data scrub device 500 also includes a central processing unit 510, a display 540 and a memory 550 connected via a bus 520. The memory 550 generally comprises RAM, and ROM and a persistent mass storage device such as a hard disk drive. The memory 550 stores an operating system 555 for controlling the operation of the data scrub device 500. The memory 550 also includes a scrub database 560, staging database 570 and merchant databases 580. Scrub database 560 in turn comprises an item table 566 and a buffer table 564. It will be appreciated that these components may be stored on a computer-readable medium and loaded into memory 550 of the data scrub device 500 using a drive mechanism associated with the computer-readable medium, such as a floppy or a CD-ROM/DVD-ROM drive or the network adapter 530. In one embodiment of the invention, some of the components of the data scrub device 500 may be part of the import server 400 (FIGS. 2, 4).



FIG. 6 illustrates the actions taken by the merchant server 205, import server 400, staging databases 570, merchant databases 580, item table 566 and buffer table 564 to gather item information to enable searching, viewing and purchasing through the UPPS hereinafter referred as UPPS in accordance with the present invention. (Both the staging databases 570 and merchant databases 580 have a separate database for each merchant or supplier of item data. Accordingly, when referring to a single merchant or supplier, the staging databases 570 and merchant database 580 will be referred to in the singular.) The interactions of the various components are illustrated and described in greater detail later with reference to diagrams shown in FIGS. 8 and 9. Returning to FIG. 6, the item data import process is initiated when a merchant server 205 provides an item feed 605 to an import server 400. The import server 400 is then able to retrieve 610 image data from the merchant server that relates to the items described in the item feed. The import server requests images 615 from the merchant server and receives item images 620 back from the merchant server. The item feed in the form of normalized data and images 625 is then forwarded to the staging databases 570. The staging database is where duplicate items are removed 630, new items are inserted 635, existing items are updated 640, and old items are deleted 645. Next, the information from the particular staging database 570 associated with the originating merchant server 205 forwards the staged normalized data which is just the normalized data feed that has been updated with the information and processing performed on that particular staging database 570. This staged data 650 is passed to the merchant databases and in particular to the merchant database 580 associated with the originating merchant server 205. The merchant database 580 then forwards 655 matching item data to the item table 566 and forwards unmatched item data 660 to the buffer table 564. Matching and unmatched item data will be discussed in greater detail below with regard to FIG. 9.



FIG. 7 illustrates the actions taken by the supplier server 210, import server 400, staging databases 570, merchant databases 580, item table 566 and buffer table 564 to gather item information to enable searching, viewing and purchasing through the UPPS hereinafter referred as UPPS in accordance with the present invention. The interactions of the various components are illustrated and described in greater detail later with reference to diagrams shown in FIGS. 8 and 9. Returning to FIG. 7, the item data import process is initiated when a supplier server 210 provides an item feed 705 to an import server 400. The import server 400 is then able to extract and process 710 image data from the item feed that relates to the items described in the item feed. The item feed in the form of supplier (normalized) data and images 715 are then forwarded to the staging databases 570. The staging database 570 is where duplicate items are removed 720, new items are inserted 725, existing items are updated 730, and old items are deleted 735. Next, the information from the particular staging database 570 associated with the originating supplier server 210 forwards the staged normalized data which is just the normalized data feed that has been updated with the information and processing performed on that particular staging database 570. This staged data 740 is passed to the merchant (in this case also supplier) databases 580 and in particular to the merchant database 580 associated with the originating supplier server 210. The merchant database 580 then forwards 745 categorized item data to the item table 566 and forwards uncategorized item data 750 to the buffer table 564.


It will be appreciated by those of ordinary skill in the art that the order of the operations in FIG. 6 or 7 may be altered without substantially affecting the operation of the present invention. For example, the merchant database 580 may be incorporated into the staging database 570; or some or all of steps 630-645 may be performed in other orders or even on the merchant database 580.


The present invention is directed to providing a shopping service that obtains items for a consumer across many different merchant sites while maintaining a consistent user interface for the consumer no matter from which merchant the items are retrieved or obtained. Instead of redirecting the consumer to an external site when the consumer selects an item located on an external merchant site, the import server 400 maintains control of the consumer throughout the entire shopping process. Accordingly, FIG. 8 illustrates an exemplary logic routine 800 illustrating importing item data from an item feed into an import server 400 in accordance with the present invention. Routine 800 starts at block 801 and proceeds to block 805 where the item feed is received. Next, in block 810, the identity of the source of the item feed (e.g., merchant or supplier) is found from the item feed itself or from the address from which it was received (e.g. a URL for the supplier website). If the source of the item feed in decision block 815 is determined to be a supplier, then in block 820, image data is extracted and processed from embedded images within the item feed. In block 825, the supplier item feed which was received in a normalized form is forwarded to the data scrub device. If, however, in decision block 815, it was determined that the source of the item feed was not a supplier, then the flow goes to block 830 where item images have to be retrieved from the merchant server associated with the merchant item feed. In one embodiment of the invention, item information and/or item images are obtained by scraping a merchant server's 205 Website. For a description of scraping please refer to FIG. 14 described below and to commonly owned U.S. patent application Ser. No. 09/237,169 filed Jan. 25, 1999 and entitled WEB SCRAPING ENGINE, which is incorporated herein by reference. In block 835, the merchant item feed is normalized so that it can be incorporated more easily into the databases of the current invention. Included in this normalization are the images retrieved from the merchant server. Processing then continues back to block 825, and the normalized data from the merchant feed now is of the same normalized format as if it had been supplier provided data. Processing then ends at block 899.


The item feed and any accompanying images have now been normalized for incorporation through the various databases (staging database 570, merchant database 580, and scrub database 560, including buffer table 564 and item table 566 (FIG. 5)) in accordance with the present invention. FIG. 9 illustrates an exemplary logic routine 900 illustrating importing the item data from the item feed through these databases. Routine 900 starts at block 901 and proceeds to block 905 where the normalized item feed is received.


In one exemplary embodiment, the first database receiving the normalized item feed is the staging database 570. However, other databases, such as the merchant database 580, could be the first to receive the normalized item feed. At the database level, duplicate items are removed from the item feed in block 910. In block 915, new items from the item feed are inserted into the database. In block 920, existing items are updated based on the normalized item feed. Next, in block 925, any expired or old items that are no longer in the item feed may be deleted. (It is important to reiterate here that the staging databases 570 and merchant databases 580 are referred to both in the plural and the singular, as the collection of staging databases 570 and the collection of merchant databases 580 contain a separate database each for every supplier and merchant which provide item feeds in accordance with the present invention.)


It will be appreciated by those of ordinary skill in the art that steps 910-925 for updating the databases may be performed in a different order from that depicted in FIG. 9, depending upon specific implementation of the present invention, without departing from the spirit of the invention as specified herein.


Once routine 900 gets to block 930, it then needs to identify the source of the item feed as that will determine how entries in the item feed will be incorporated into the item table and/or buffer table. So, in block 930, the source is identified and in decision block 935, if it is determined that the source of the item data is a supplier, then in block 940, the item entries in the item feed are only checked to see if they have been categorized or that the category already exists in the item table. If, in decision block 945 it is determined that the category exists for an item entry, then that item entry is sent to the item table. If, in block 945 it is determined that the item is uncategorized or that no category exists in the item table that matches the category of the particular item entry, then the item is sent to the buffer table for further processing at a later point, in block 955.


Returning back to decision block 935, if the source is not a supplier, then in block 960, each item entry is checked to see if there is a match in the item database. It will be appreciated by those of ordinary skill in the art that matching item entries in the item feed and item entries in the item table may be done in a myriad of fashions. In one exemplary embodiment, the shopkeeper unit (“SKU”) is used to match items in the item feed and the item table. Alternately, in another embodiment, manufacturer name and manufacturer model number may be used to match entries in the item feed and item table 566 (FIG. 5). However, other uniquely identifying information may also be used to match item entries in the item feed to item entries in the item table 566.


Next, in decision block 965, if it is determined that there is a match between an item entry in the item feed and an item entry in the item table, then the item table is updated with the item entry from the item feed, thereby resulting in a more up-to-date entry with regard to that item in the item table 566. If, however, in decision block 965 it is determined that there is no matching item in the item table, then the item entry is forwarded to the buffer table in block 955 for processing at a later point. In any case, processing and of routine 900 ends at block 999.


Once the item feed has been imported into the system of the current invention, including the item table in the scrub database, it will then be used in a commercial side system open to the public; however, this is usually not done directly, rather, the information is sent to devices, servers, and databases accessible by the public, using the item table as a master source of sorts.


Accordingly, FIG. 10 illustrates one exemplary commercial side system with a number of components. The system 1000 is set up as a load balanced, redundant system with both active and inactive databases in each component. The information from the item table 566 is forwarded to an item price database 1005. The item price database 1005 is updated periodically such as once an hour, once a day, once a week, and so forth; again, preserving the item table as the master source from which the data is received.


An index server 1010 then takes the information in the item price database 1005 and indexes it using conventional keyword and database indexing routines known to those of ordinary skill in the art. The index server supplies index meta-data or data about the index and other index data for the items in the item price database to search servers, such as search servers #1 and #2, 1041 and 1042, shown in FIG. 10. The item price database 1005 also supplies item details, such as descriptions and images that correspond to the information sent by the index server 1010. Note that while search database #11041 and search database #21042 are being updated, search database #31043 and search database #41044 are actually online and are in communication with a search server #11051 and a search server #21052, respectively. This allows search databases #3 and #4, 1043 and 1044 respectively, to remain fully active while search server #11041 and search database #21042 are being updated. Search databases #1-41041-1044 are mirrored databases, which means that when one is finished updating, the updated information is then mirrored to the next. For example, in FIG. 10, once search database #11041 is finished receiving index information and item information, search server #31043 will be taken offline, and the same information will be added to search server #3.


The load balancing of the illustrated embodiment is handled by the “big IP” server 1060 which is a conventional load balancing server known to those of ordinary skill in the art to allow the communications load to be distributed across components of the present invention. The “big IP” server 1060 is connected via the Internet 100 to the consumer device or devices 300 and merchant servers 205.


Returning back to the databases, the pricing databases #1-41031-1034 are in communication with mirrored SQL servers #1 and #21021-1022, such that when a consumer has finished searching for items using search server #11051 or search server #21052, they are then able to retrieve detailed information from pricing databases #1-41031-1034. Note again that with SQL #1 and SQL#2, while SQL#11021 is being updated from the item price database 1005, SQL #21022 is in communication with the pricing databases, and that while pricing database #11031 and pricing database #21032 are accessible by consumers via the Internet 100, pricing database #31033 and pricing database #41034 are in communication with SQL database #2 to update their information.


While one possible embodiment is shown here, it need hardly be mentioned that this commercial side of the present invention could have a myriad of other possible configurations, not the least would be a much simpler system where only the item table was used instead of the item price database index server, sequel databases, pricing databases, search databases, and search servers and with no load balancing at all. However, each one of these components does increase the speed, flexibility, or reliability of the overall system and have been included to illustrate one exemplary embodiment of how the present invention may be implemented.


As will be appreciated by those of ordinary skill in the art, identifying and searching for items can be done in many different ways. For example, in one embodiment of the invention, the consumer enters information about the items into a search engine. Based on the information input into the search engine, a list of items is returned to the consumer on a webpage. In another embodiment of the invention, the search engine may search a database stored on the import server 400 containing a list of currently available items from many different merchants. In another embodiment, the search engine searches external databases that are not contained on the import server 400 but are located on remote computers. As will be appreciated by those of ordinary skill in the art, many different search engines can be used. In yet another embodiment, a classification system is established that divides goods or services into categories of specific types. For example, categories can include, among many others, clothes, books, music, video, jewelry and the like.


Search results may further be partially or fully sorted and displayed in accordance with the preferences of the consumer. In one embodiment, sorting preferences are selected by the consumer prior to performing a database search. Accordingly, the sorting criteria are added to a query string to produce a sorted list of items prior to displaying the list to the consumer. In another embodiment, the consumer may sort a list of items after the list has been retrieved and displayed. For example, a list of laptop computers may be presented to a consumer in the form of a table having columns to display information such as make, model, description, specifications, price, and the like. The consumer may prefer to sort the table according to price. Therefore, the listing of laptop computers may be programmatically sorted in response to the consumer selecting the “price” column header. There are a number of ways to sort data programmatically without requiring execution of a new query against a database. For example, a JavaScript “for”, “while”, or “do . . . while” loop may process each item in a list against the consumer selected sorting criteria to determine how to position each item with respect to other items in a list. A working list may be stored in memory as an array that is written to the interface when list sorting routine is complete. Practitioners will appreciate that a listing of items may be sorted according to any number of criteria and through any number of methods.


To control how searches are performed and how results should be configured, the consumer may access a search preferences interface. The search preferences interface enables the consumer to define what information is returned with search results. For example, a consumer who utilizes the disclosed integrated shopping site may wish to limit search results to display product descriptions and price only. Another consumer may be more concerned with the identity of the merchant, thus the consumer configures the search preferences to display results that include a product description and merchant identifier. In one embodiment, the consumer may interact with the search preferences interface to filter out specific merchants and/or manufactures from search results. Practitioners will appreciate that there may be any number of known options for filtering search results.


In another embodiment, a consumer may configure item specific search rules. For example, a consumer may be charged with purchasing cleaning supplies for a janitorial service. The janitorial service may be sensitive to the environmental effects of a chemical compound that is commonly used in industrial strength solvents. As such, the consumer may define a rule that states that, if a solvent includes such a chemical compound, then that solvent should be filtered out of the search results.


Accordingly, there are instances when price is not the predominate factor in a purchase decision. For example, a consumer living in Phoenix, Ariz. may be contentious about supporting the local economy. As such, the consumer may want to configure search preferences such that items manufactured, fabricated and/or sold locally will appear higher on a search results list. In one embodiment, search preferences stored along with a personal profile of the consumer are used to pre-select items to display as advertisements and/or offers within an interface when the consumer logs-in to the system. Compensation for providing such ads and/or offers may be provided in accordance with known compensation models that include, for example, charge per display, charge by click, charge by purchase, and the like.


In one embodiment of the present invention, the consumer browses through item search results on a webpage (see FIGS. 11A-11C and description below) provided by a search server 1041, 1042, 1043 or 1044. In another embodiment, the search results are sent electronically to a wireless device, such as a telephone, or PDA. As will be appreciated by those of ordinary skill in the art, wireless devices are more restricted by the amount of information they may display as compared to a personal computer. Therefore, the information sent to the wireless device is formatted for viewing on a wireless device. Well known presentation formats for wireless devices are Handheld Device Markup Language (“HDML”) documents and Wireless Markup Language (“WML”) documents. As will be appreciated by those skilled in the arts, HDML and WML documents may be viewed on conventional microbrowsers such as phone.com's™ UP.link microbrowsers. If the consumer is interested in a particular item, the item may be added to the consumer's shopping cart (see FIGS. 12A and 12B and description below). In one embodiment of the invention, the consumer selects the item by clicking on a hyperlink to add the item to the service. As will be appreciated by those of ordinary skill in the art, there are many methods of selecting an item. For example, a consumer may drag an icon or hyperlink representing the item to an icon or hyperlink representing the shopping cart.


For clarity of illustration, the phrase “item type” will be used to describe a type of merchandise that may be sold by several merchants. For example, an “NEC 17 inch LCD monitor” is an “item type”. An “item” may be any good and/or service capable of being exchanged between two or more entities, and the term “item” may be used to describe an item that is carried by a particular merchant. For example, an “NEC 17 inch LCD monitor from Circuit City” is an “item”. When a consumer selects an item, both the item type and the merchant may be determined. In addition, an “item identifier” may include, for example, a universal item code (UPC), a stockkeeping unit (SKU), a serial number, a reference number, a category number, a service type indicator, a description and/or other any other information capable of identifying an item. Any reference to an item type, item or item identifier, as used herein, may include one or more item types, items or item identifiers, respectively.



FIGS. 11A-12B illustrate exemplary web pages for searching, viewing and selecting an item in accordance with the present invention. Webpage 1100 illustrates an exemplary webpage form having a field for searching for specific items. The results of an exemplary search are shown in webpage 1130. After selecting a type of item from webpage 1130, a consumer might see a webpage such as exemplary viewing webpage 1160 where the consumer is presented with the detailed description of the selected item along with a link to compare prices and handling details from different merchants. Webpage 1200 shows a number of different merchants with different prices and/or handling details. Finally, webpage 1260 illustrates a selected item from a particular merchant that is ready to be checked out.


Another aspect of the current invention allows for a more full, accurate and detailed item coverage in the item table. Specifically, the data scrubbing ability of the current invention which is the process of analyzing the item entries which have been placed in the buffer table 564 due to being either uncategorized or unmatched with existing items in the item table 566. Data scrubbing can either be an automatic process or a manual process each of which is reflected in FIG. 13 or 14, respectively.



FIG. 13 is a flow chart illustrating a routine 1300 for automatic data scrubbing. Routine 1300 starts in block 1301 and proceeds to block 1305 where an item entry is retrieved from the buffer table. In block 1310, the item entry is examined. Then in decision block 1315, if it is found that the item matches the item entry in the item table, it is automatically forwarded to the item table and requires no further scrubbing. However, if in decision block 1315 it was found that the item did not match an entry in the item table, processing continues to decision block 1320 where it is determined if the item is identifiable. Specifically, is this a valid item for which an item entry can be made within the item table? If it is not identifiable, then in block 1345, the item is returned to the buffer table for analysis at a later date or eventual expiration. However, if in decision block 1320 the item is identifiable, then in decision block 1325 it is determined whether the item is categorizable, specifically, if the item will fall into a type of category. One example might be that two separate items might have the same title; however further information would show that they were in different categories. An item title such the name “fountain pen” might be the title of a book or a description of a writing instrument. Therefore, the data scrub routine 1300 looks to additional information to see if there is any indication that the item would fall in one category versus another, e.g., books or office supplies. If the item is categorizable, then processing continues to 1330 where a category is assigned to the item; then, in block 1335 the item is forwarded to the item database 566. If however in decision block 1325 the item is not categorizable, it placed back in the buffer table in block 1345. Finally, in decision block 1340, a determination is made if there are any more unretrieved item entries in the buffer table. If all entries have been retrieved, then processing ends in 1399, otherwise it returns back to block 1305 to continue scrubbing the buffer table.


Similar to FIG. 13, FIG. 14 is a flowchart illustrating a manual data scrubbing routine 1400. Routine 1400 may start in block 1401 and proceed to block 1405 where an item entry is retrieved from the buffer table. In block 1410, the item entry may examined. Then in decision block 1415, it is determined whether the item is identifiable. Specifically, does the item entry describe a valid item for which an item entry can be made within the item table? If it is not identifiable, then in block 1440, the item is returned to the buffer table for analysis at a later date or eventual expiration. However, if in decision block 1415 the item is determined to be identifiable, then in decision block 1420 it is determined whether the item is categorizable, specifically, if the item will fall into a type of category. If the item is categorizable, then processing continues to 1425 where a category is assigned to the item; then, in block 1430 the item is forwarded to the item database 566. If however in decision block 1420 the item is not categorizable, it placed back in the buffer table 564 (FIG. 5) in block 1440. Finally, in decision block 1435, a determination is made whether to continue scrubbing, if not, then processing ends in 1499, otherwise processing returns back to block 1405 to continue manual scrubbing the buffer table.



FIG. 15 is a block diagram illustrating an exemplary embodiment of a system 1500 to facilitate an on-line purchase of at least one item by a consolidated shopping website which purchases the item from a merchant website on behalf of a consumer. In one embodiment, system 1500 may facilitate secure ordering, payment and funding services while substantially protecting the privacy of the transaction participants. System 1500 may also include processes for authenticating participants, facilitating on-line purchases made on behalf of a consumer, and settling payments. As such, embodiments of the invention may enable merchants providing websites to effectively accept an order without changing their current ordering infrastructure.


System 1500 may also include consumer computing device 1510. Consumer computing device 1510 may be any software and/or hardware suitably configured to communicate transaction data to a consolidated merchant (CM) host computer (e.g., CM host computer 1520). In one embodiment, consumer computing device 1510 may be configured to receive transaction data input by a consumer, and transmit a purchase request, which may include transaction data, to at least one CM host computer 1520. As used herein, “transmit” may include sending electronic data from one component to another component of system 1500 over a network connection (e.g., network 1550, discussed below). “Transaction data” may include, for example, at least one item identifier for each item being purchased (e.g., SKU or UPC code), a payment instrument account number, and/or any other data helpful in a purchase request. Additionally, as used herein, “data” may include encompassing information such as commands, queries, files, data for storage, and the like in digital or any other form. A “payment instrument” may include, for example, one or more of a charge card, credit card, debit card, awards card, prepaid card, smart card, magnetic stripe card, bar code card, transponder, RFID, radio frequency card and/or the like having an account number, which cardholders typically present to merchants, as part of a transaction, such as a purchase. However, a consumer may present an account number without the use of a physical payment instrument.


An “account” or “account number”, as used herein, may include, for example, any device, code, number, letter, symbol, digital certificate, smart chip, digital signal, analog signal, biometric or other identifier/indicia suitably configured to allow the consumer to access, interact with or communicate with the system (e.g., one or more of an authorization/access code, personal identification number (PIN), Internet code, other identification code, and/or the like). The account number may optionally be located on or associated with a rewards card, charge card, credit card, debit card, prepaid card, embossed card, smart card, magnetic stripe card, bar code card, transponder, radio frequency card or an associated account. System may include or interface with any of the foregoing cards or devices, or a fob having a transponder and RFID reader in RF communication with the fob. Although the present invention may include a fob embodiment, the invention is not to be so limited. Indeed, system 1500 may include any device having a transponder configured to communicate with RFID reader via RF communication. Typical devices may include, for example, a key ring, tag, card, cell phone, wristwatch or any such form capable of being presented for interrogation. Moreover, system 1500, consumer computing device 110 and/or consolidated merchant (CM) host computer 120 (detailed below) may include a “pervasive computing device,” which may include a traditionally non-computerized device that is embedded with a computing unit. Examples may include, but are not limited to, watches, Internet enabled kitchen appliances, restaurant tables embedded with RF readers, wallets or purses with imbedded transponders, etc.


The account number may be distributed and stored in any form of plastic, electronic, magnetic, radio frequency, wireless, audio and/or optical device capable of transmitting or downloading data from itself to a second device. A payment instrument account number may be, for example, a sixteen-digit credit card number, although each credit provider has its own numbering system, such as the fifteen-digit numbering system used by American Express. Each company's credit card numbers comply with that company's standardized format such that the company using a sixteen-digit format will generally use four spaced sets of numbers, as represented by the number “0000 0000 0000 0000”. The first five to seven digits are reserved for processing purposes and identify the issuing bank, card type, etc. In this example, the last (sixteenth) digit is used as a sum check for the sixteen-digit number. The intermediary eight-to-ten digits are used to uniquely identify the consumer. A merchant account number may be, for example, any number or alpha-numeric characters that identify a particular merchant for purposes of card acceptance, account reconciliation, reporting, or the like.


In one exemplary embodiment, consumer computing device 1510 may be a personal computer, although other types of computing units may be used including laptops, notebooks, hand held computers, set-top boxes, cellular telephones, touch-tone telephones and the like. Moreover, consumer computing device 1510 may also be a merchant computing unit implemented in the form of a computer-server, although other implementations are contemplated. Thus, consumer computing device 1510 may be in a home or business environment with access to a network (e.g., the Internet). Applicants note that any reference to a single consumer computing device may include one or more consumer computing devices.


Consumer computing device 1510 may also be configured to communicate with CM host computer 1520. An electronic commerce system may be implemented at consumer computing device 1510 and CM host computer 1520. The electronic commerce system may be implemented as computer software modules loaded onto CM host computer 1520 and consumer computing device 1510, and CM host computer 1520 may not require any additional software to participate in online commerce transactions supported by the electronic commerce system. Thus, CM host computer 1520 may be any software and/or hardware suitably configured to facilitate a transaction. In one embodiment, CM host computer 1520 may be configured to process a request to purchase an item received from consumer computing device 1510. Furthermore, CM host computer 1520 may include a processor for processing digital data; a memory coupled to the processor for storing digital data; an input digitizer coupled to the processor for inputting digital data; an application program stored in the memory and accessible by the processor for directing processing of digital data by the processor; a display device coupled to the processor and memory for displaying information derived from digital data processed by the processor; and a plurality of databases. In addition, though shown as a main frame computer, CM host computer 1520 may be implemented in other forms, such as a mini-computer, a PC server, a network of computers located in the same of different geographic locations, or the like.


CM host computer 1520 may also be configured to store at least one uniform resource locator (URL) for one or more merchant websites (e.g., merchant websites 1535 and/or 1545), and access a merchant website utilizing a stored URL. Furthermore, CM host computer 1520 may be configured to access a webpage for placing an order for an item sold on an accessed webpage. CM host computer 1520 may also be configured to place an order for an item sold on an accessed website and/or webpage. The order may be configured to include a token and/or other type of identifier of CM host computer 1520 to enable the recipient of the order to identify CM host computer 1520 as the source the order. In an exemplary embodiment, CM host computer 1520 may be configured to place an order on behalf of a consumer on the order webpage similar to embodiments described in U.S. Pat. No. 6,490,601 issued to Markus et al., herein incorporated by reference. In addition, CM host computer 1520 may be configured to receive order and/or shipping confirmation from at least one merchant website, and transmit such to a consumer. Moreover, CM host computer 1520 may be configured to transmit and/or receive funds from external devices.


In one exemplary embodiment, CM host computer 1520 may be configured to charge the consumer (and/or a third party, merchant, etc) a transaction fee for requesting an item from a different website for the benefit of a consumer. Furthermore, CM host computer 1520 may be configured to calculate the transaction fee, generally analogous to a sales commission, based on a set amount, a variable amount, random amount, percentage of the purchase amount and/or the like. In one embodiment, the predetermined amount may be an amount per transaction, an amount per ordered item, an amount based on a threshold purchase amount, number of websites where ordering occurs, type of item ordered, payment method, type of payment instrument used, and/or the like. The variable fee may be based on similar criteria as the set amount, but may include incrementally increasing amounts based on pre-determined factors stored within CM host computer 1520. Random fees may be charged for similar criteria as the set fee and variable fee, however, the “randomness” may be determined according to pre-determined factors also stored within CM host computer 1520. CM host computer 1520 may be configured to charge a transaction fee to a consumer transmitting a purchase request via consumer computing device 1510, an affiliated and/or non-affiliated merchant selling the item on a merchant website 1535, a wholesaler of the ordered item, a manufacturer of the ordered item, an issuer of a payment instrument and/or any other entity appropriate to charge a transaction fee for the transaction. In one embodiment, the transaction fee may be included as part of an affiliation agreement between CM host computer 1520 and a merchant website (e.g., merchant website 1535), which may detail how the transaction fee may be charged.


CM host computer 1520, after ordering an item on behalf of a consumer on a merchant website not affiliated with CM host computer 1520, may be configured to notify a non-affiliated (e.g., does not have a pre-existing relationship and/or agreement) merchant website of such, and solicit a transaction fee from the merchant website. The solicitation may include a message suggesting that payment of the transaction fee may result in future orders from CM host computer 1520 and/or may include a message suggesting that non-payment of the transaction fee may result in CM host computer 1520 not making future orders.


CM host computer 1520 may also be configured to offer a rebate for ordering an item from a different website on behalf of a consumer. Furthermore, CM host computer 1520 may be configured to calculate the rebate based on a set amount, a variable amount, random amount, percentage of the purchase amount and/or the like similar to the transaction fee configuration discussed above. The rebate may be offered by CM host computer 1520 to a consumer transmitting a purchase request via consumer computing device 1510 and/or to any other appropriate entity (e.g., a school, church, charitable organization, etc.) in, for example, a fund raiser.


In another embodiment, CM host computer 1520 may be configured to receive a rebate for ordering an item from a different website on behalf of a consumer from a merchant selling the item on a merchant website 1535, a wholesaler of the ordered item, a manufacturer of the ordered item and/or any other entity offering a rebate to CM host computer 1520 for facilitating the transaction for factors similar to those discussed above, including an affiliation agreement. Moreover, CM host computer 1520, after ordering an item on behalf of a consumer on a merchant website not affiliated with CM host computer 1520, may be configured to notify the merchant website of such, and include a request for a rebate from the merchant website, along with a message, similar to transaction fee embodiments discussed above.


CM host computer 1520 may be configured to charge a listing fee for displaying an item from other websites (e.g., merchant website 1535) on a website (e.g., consolidated shopping website 1514, hereinafter CS website 1514) provided by CM host computer 1520. The listing fee may be charged to a merchant selling an item, a wholesaler or broker of an item, a manufacturer of an item and/or any other entity desiring an item be displayed on the website.


CM host computer 1520 may also be configured to automatically generate an electronic or paper receipt. In one embodiment, the receipt may be consolidated and may be configurable, such as for batch processing purposes. The consolidation may be across multiple accounts which may be applicable with, for example, corporate accounts. CM host computer 1520 may issue an end of year statement for a consumer as receipt tracking. In one embodiment, CM host computer 1520 may archive in a database a ROC (receipt of charge) associated with a charge account. As such, the additional ROC information along with the statements from CM host computer 1520 provide added value. CM host computer 1520 may charge the consumer a fee for the archival services or any other services discussed herein. In one embodiment, CM host computer 1520 may periodically supply line item detail statements, for example, at the end of the year, wherein the statement discloses each purchase. The service may only be available for certain levels of consumers or certain levels of payment instruments (e.g., Gold and Platinum cards). Furthermore, any charges may be paid directly out of an account using existing or customized stored value systems.


CM host computer 1520 may additionally be configured to generate a report detailing transactions occurring within a specified period of time. Reporting may include similar technology and systems as are known in the art for corporate payment instrument reporting. For example, the administrator of CM host computer 1520 may have a reporting relationship at the consumer level and/or corporate level. The consumer level may include monthly statements sent out to the consumer. The statements may be in electronic (e.g., XMS) or paper (e.g., international) form. The statements may detail merchant, date, time, and/or amount. In one embodiment, the statements may omit consumer components of the transaction. At the corporate level, the system may help corporations manage their expense base with, for example, logistics, reporting tools, etc. A degree of flexibility may exist as to how the corporation desires to manage accounts. For example, a corporation may settle the account directly and be responsible for reviewing the eligibility of each charge. CM host computer 1520 may help the corporation manage their expense base by reporting on the nature of the transactions over a certain period of time (e.g., quarterly, annually, etc). The report may include information such as, for example, certain expenses represent x % of their expense base and are split across six suppliers. As such, if they were to establish a preferred supplier arrangement with for example, three widget manufacturers, they may reduce their expense base. To maintain privacy, CM host computer 1520 may customize the reporting so as to firewall certain detail, but still release sufficient information to make it valuable for expense base tracking and management.


In an exemplary embodiment, CM host computer 1510 may provide a website, using any software and/or hardware suitably configured to accept and process an order for an item. Furthermore, CS website 1514 may be configured to receive a purchase request for an item from a consumer, the item being available for purchase on a different website that may or may not have an affiliation with CS website 1514. CS website 1514 may also be configured to allow consumers to create and store a consumer profile accessible by CS website 1514 and/or the consumer. A “consumer profile” may be created and accessed (e.g., by inputting a user ID and PIN) similar to consumer profile embodiments known in the art. Moreover, a consumer profile may include, for example, the consumer's name, contact information (e.g., mailing address, telephone number, email address, etc.), payment instrument account information, shopping habits, transaction history, consumer profile account information, and/or any other information helpful in facilitating an on-line transaction. Shopping habits, for example, may enable the system to present a number of links and/or menu items on CS website 1514 to a consumer's “favorites” based on previous shopping transactions.


In one embodiment, CS website 1514 provides a listing of the most popular categories based on an analysis of the shopping habits and transaction history for a number of consumers. In another embodiment, CM host computer 1520 groups consumers according to shopping habits, demographics, position, industry, and the like for the purpose of selecting and presenting a listing of categories that are popular among a specific grouping of consumers. Transaction history may also include a shopping cart history, which in one embodiment, displays items that were previously placed into an e-commerce shopping cart without finalizing a purchase transaction. For example, a consumer may have added a Global Positioning System (GPS) to a shopping cart during a previous session. However, in order to do further research on GPS devices, the consumer may have ended the session (i.e., closed the browser window). When the same consumer subsequently accesses CS website 1514, the system searches the transaction history for the consumer and reloads the GPS device into the consumer's shopping cart. Moreover, CS website 1514 may be a stand-alone Internet website or a punchout site that interfaces with e-commerce applications (e.g., Ariba Buyer or SAP).


In one embodiment, CM host computer 1520 retrieves information for items falling within the same or similar category as a searched item. For example, a search for a “garden hose” may return any number of items relating to gardening or landscaping in addition to a variety of garden hoses. Moreover, a consumer may enter a general category term to receive more generic results. Entering “computers”, for example, may return a number of personal computers, laptop computers, displays, printers, and the like. In another embodiment, CM host computer 1520 retrieves a group of items based on a search, uses the product information to determine the category for the group of items, and to sort the group of items into subcategories. The subcategories may be displayed within tabs of the CS website 1514 interface. For example, a consumer may perform a search on “television sets.” A group of retrieved television sets may be subcategorized into a variety of tabs that group the television sets based on size, resolution, high-definition, flat screen, LCD, and the like.


To assist the consumer in using the CS website 1514 to search for items and categories of items, browser executable code such as, for example, an Applet tracks the consumer's interaction with CS website 1514. The browser executable code detects a search term entered by the consumer and uses it in combination with search history, consumer profile information, etc., in order to make suggestions relating to searches. For example, a user who has interacted with CS website 1514 to regularly search for office supplies may be presented with helpful hints relating search terms that may produce more targeted search results. In another embodiment, the browser executable code may automatically retrieve one or more special offers based on what is known about the consumer. Accordingly, when the user logs in, for example, CM host computer 1520 analyses historical transaction data relating to the consumer, the consumer's profile, and any other relevant data in order to perform an automatic search for special offers that may be of particular interest to the consumer.


Merchants occasionally bundle items in order to, for example, increase the appeal of an item. For example, a merchant who sells computing equipment may bundle a desktop computer, LCD monitor, and printer. However, such a bundle may not be desirable for a consumer that simply needs a new desktop computer. CM host computer 1520 enables consumers to select a bundle and take the bundle apart such that the consumer only purchases one or more items within the bundle in accordance with their need and/or desire. In one embodiment, unbundled items that are not purchased are stored in a database as individual items to be subsequently offered for sale. Merchants may interact with the system to define whether unbundling is allowed, rules for unbundling, pricing of unbundled items, and how unbundled and un-purchased items should be processed. For example, a merchant may choose to have an unbundled item offered to consumers as a rebate or reward items.


In one embodiment, consumers may register with CM host computer 1520 under a specialized status such as, for example, a wholesaler, or a seller of controlled items (e.g., fireworks). Accordingly, a consumer may be required to show evidence qualifying her for such status. Subsequently, the consumer may receive discounts on specific items and/or purchase items that the general public is not able to purchase (e.g., pharmaceuticals, controlled chemicals, medical equipment, etc.) Items sold in bulk to wholesalers and controlled items are filtered out of search results that are invoked by consumers that have not been granted a specialized status.


Some merchants sell items that are less conducive to an online shopping environment. Such items include personalized products such as, for example, business cards, engraved gifts, promotional items with stamped with a company logo, and the like. While imitated in function, many such merchants have configured their product websites such that a consumer can select from a list of templates (e.g., business cards), and enter text and/or graphics that they would like included with the items. In one embodiment, CM host computer 1520 enables merchants to supply template and personalization options along with product feeds. When a search is subsequently performed for such items, CM host computer 1520 provides a personalization interface to enable consumers to select from any number of options provided by a merchant for personalizing an item for purchase. Options may include, for example, design, color, material, text font, etc. The personalization interface further enables consumers to specify text, upload graphic files, and the like. The personalization interface renders the item according to the consumer selected options in order to enable the consumer to view what the item will look like. Accordingly, the personalization interface allows the consumer to make any number of modifications to the item, until she is pleased with its appearance. When a selected item is purchased, CM host computer 1520 places the order as disclosed herein along with the personalization information.


As described above, CS website 1514 enables any number of merchant websites to be searched to retrieve one or more items capable of being purchased from any of the merchant websites (e.g., merchant website 1535 and/or 1545). The terms “display” and/or “displayed” may include any pictorial, alphanumeric, symbolic, electronic, item identifier, and/or any other representation of an item capable of being perceived by a consumer, including the item itself. An item identifier may be provided directly from a merchant selling the item, a wholesaler and/or the manufacturer of the item in a variety of file formats (.xls, .csv, .txt, .xml, etc.) for items displayed on CS website 1514. In one embodiment, CS website 1514 may be configured to display multiple items capable of being purchased from more than one merchant website 1535. CS website 1514 may also be configured to allow consumers to browse and/or search for items displayed on CS website 1514. CS website 1514 may be configured to communicate with one or more merchant websites 1535 (both affiliated and non-affiliated) via a network 1550.


Network 1550 may include, for example, any electronic communication means which incorporates both hardware and software components of such. Communication among the devices in accordance with the present invention may be accomplished through any suitable communication channels, such as, for example, a telephone network, an extranet, an intranet, Internet, point of interaction device (point of sale device, personal digital assistant, cellular phone, kiosk, etc.), online communications, satellite communications, off-line communications, wireless communications, transponder communications, local area network (LAN), wide area network (WAN), networked or linked devices, keyboard, mouse and/or any suitable communication or data input modality. Moreover, although the invention is frequently described herein as being implemented with TCP/IP communications protocols, the invention may also be implemented using IPX, Appletalk, IP-6, NetBIOS, OSI or any number of existing or future protocols. If the network is in the nature of a public network, such as the Internet, it may be advantageous to presume the network to be insecure and open to eavesdroppers. Specific information related to the protocols, standards, and application software utilized in connection with the Internet is generally known to those skilled in the art and, as such, need not be detailed herein. See, for example, DILIP NAIK, INTERNET STANDARDS AND PROTOCOLS (1998); JAVA 2 COMPLETE, various authors, (Sybex 1999); DEBORAH RAY AND ERIC RAY, MASTERING HTML 4.0 (1997); and LOSHIN, TCP/IP CLEARLY EXPLAINED (1997) and DAVID GOURLEY AND BRIAN TOTTY, HTTP, THE DEFINITIVE GUIDE (2002), the contents of which are hereby incorporated by reference. Moreover, system 1500 contemplates the use, sale or distribution of an item or information over any network having similar functionality described herein.


Merchant website 1535 may be any software and/or hardware suitably configured to sell items. Merchant website 1535 may be configured to accept and/or process an order for an item sold by the seller and/or manufacturer, and transmit order and/or shipping confirmation to CS website 1514. In one embodiment, merchant website 1535 may be affiliated with CS website 1535 and configured to detect a token and/or other identifier of CM host computer 1520 as the source of an order and transmit funds (e.g., a transaction fee and/or rebate) to CM host computer 1520 upon receipt of such. As used herein, the term “merchant website” may include, for example, a website of a seller, wholesaler and/or manufacturer of an item, and any reference made herein to a merchant website (e.g., merchant website 1535) may also include at least one additional merchant website (e.g., merchant website 1545). Merchant website 1535 may be configured to communicate with CS website 1514 via network 1550.


System 1500 may also be configured such that each device (e.g., consumer computing device 1510, CM host computer 1520, merchant website 1535 and merchant website 1545) is interconnected via a second network, referred to as a payment network. The payment network, which may be part of certain transactions, represents existing proprietary networks that presently accommodate transactions for credit cards, debit cards, and other types of financial/banking cards. The payment network is a closed network that is assumed to be secure from eavesdroppers. Exemplary transaction networks may include the American Express®, VisaNet® and the Veriphone® networks.


Various databases used herein may include, for example, client data; merchant data; financial institution data; and/or like data useful in the operation of system 1500. As those skilled in the art will appreciate, a user computer may include an operating system (e.g., Windows NT, 95/98/2000, OS2, UNIX, Linux, Solaris, MacOS, etc.) as well as various conventional support software and drivers typically associated with computers. The computer may also include any suitable personal computer, network computer, workstation, minicomputer, mainframe or the like. A user computer may be in a home or business environment with access to a network. In an exemplary embodiment, access is through a network or the Internet through a commercially available web-browser software package.


Any databases discussed herein may be any type of database, such as relational, hierarchical, graphical, object-oriented, and/or other database configurations. Common database items that may be used to implement the databases include DB2 by IBM (White Plains, N.Y.), various database items available from Oracle Corporation (Redwood Shores, Calif.), Microsoft Access or Microsoft SQL Server by Microsoft Corporation (Redmond, Wash.), or any other suitable database item. Moreover, the databases may be organized in any suitable manner, for example, as data tables or lookup tables. Each record may be a single file, a series of files, a linked series of data fields or any other data structure. Association of certain data may be accomplished through any desired data association technique such as those known or practiced in the art. For example, the association may be accomplished either manually or automatically. Automatic association techniques may include, for example, a database search, a database merge, GREP, AGREP, SQL, using a key field in the tables to speed searches, sequential searches through all the tables and files, sorting records in the file according to a known order to simplify lookup, and/or the like. The association step may be accomplished by a database merge function, for example, using a “key field” in pre-selected databases or data sectors.


More particularly, a “key field” partitions the database according to the high-level class of objects defined by the key field. For example, certain types of data may be designated as a key field in a plurality of related data tables and the data tables may then be linked on the basis of the type of data in the key field. The data corresponding to the key field in each of the linked data tables is preferably the same or of the same type. However, data tables having similar, though not identical, data in the key fields may also be linked by using AGREP, for example. In accordance with one aspect of the present invention, any suitable data storage technique may be utilized to store data without a standard format. Data sets may be stored using any suitable technique, including, for example, storing consumer files using an ISO/IEC 7816-4 file structure; implementing a domain whereby a dedicated file is selected that exposes one or more elementary files containing one or more data sets; using data sets stored in consumer files using a hierarchical filing system; data sets stored as records in a single file (including compression, SQL accessible, hashed via one or more keys, numeric, alphabetical by first tuple, etc.); Binary Large Object (BLOB); stored as ungrouped data elements encoded using ISO/IEC 7816-6 data elements; stored as ungrouped data elements encoded using ISO/IEC Abstract Syntax Notation (ASN.1) as in ISO/IEC 8824 and 8825; and/or other proprietary techniques that may include fractal compression methods, image compression methods, etc.


In one exemplary embodiment, the ability to store a wide variety of information in different formats is facilitated by storing the information as a BLOB. Thus, any binary information can be stored in a storage space associated with a data set. As discussed above, the binary information may be stored on the financial payment instrument or external to but affiliated with the financial payment instrument. The BLOB method may store data sets as ungrouped data elements formatted as a block of binary via a fixed memory offset using either fixed storage allocation, circular queue techniques, or best practices with respect to memory management (e.g., paged memory, least recently used, etc.). By using BLOB methods, the ability to store various data sets that have different formats facilitates the storage of data associated with the financial payment instrument by multiple and unrelated owners of the data sets. For example, a first data set which may be stored may be provided by a first party, a second data set which may be stored may be provided by an unrelated second party, and yet a third data set which may be stored, may be provided by an third party unrelated to the first and second party. Each of these three exemplary data sets may contain different information that is stored using different data storage formats and/or techniques. Further, each data set may contain subsets of data that also may be distinct from other subsets.


As stated above, in various embodiments of the present invention, the data can be stored without regard to a common format. However, in one exemplary embodiment of the present invention, the data set (e.g., BLOB) may be annotated in a standard manner when provided for manipulating the data onto the financial payment instrument. The annotation may comprise a short header, trailer, or other appropriate indicator related to each data set that is configured to convey information useful in managing the various data sets. For example, the annotation may be called a “condition header”, “header”, “trailer”, or “status”, herein, and may comprise an indication of the status of the data set or may include an identifier correlated to a specific issuer or owner of the data. In one example, the first three bytes of each data set BLOB may be configured or configurable to indicate the status of that particular data set; e.g., LOADED, INITIALIZED, READY, BLOCKED, REMOVABLE, or DELETED. Subsequent bytes of data may be used to indicate for example, the identity of the issuer, user, transaction/membership account identifier or the like. Each of these condition annotations are further discussed herein.


The data set annotation may also be used for other types of status information as well as various other purposes. For example, the data set annotation may include security information establishing access levels. The access levels may, for example, be configured to permit only certain consumers, levels of employees, companies, or other entities to access data sets, or to permit access to specific data sets based on the transaction, merchant, issuer, user or the like. Furthermore, the security information may restrict/permit only certain actions such as accessing, modifying, and/or deleting data sets. In one example, the data set annotation indicates that only the data set owner or the user are permitted to delete a data set, various identified users may be permitted to access the data set for reading, and others are altogether excluded from accessing the data set. However, other access restriction parameters may also be used allowing various entities to access a data set with various permission levels as appropriate.


The data, including the header or trailer may be received by a stand alone interaction device configured to add, delete, modify, or augment the data in accordance with the header or trailer. As such, in one embodiment, the header or trailer is not stored on the transaction device along with the associated issuer-owned data but instead the appropriate action may be taken by providing to the payment instrument user at the stand alone device, the appropriate option for the action to be taken. The present invention may contemplate a data storage arrangement wherein the header or trailer, or header or trailer history, of the data is stored on the payment instrument in relation to the appropriate data.


One skilled in the art will also appreciate that, for security reasons, any databases, systems, devices, servers or other devices of system 1500 may consist of any combination thereof at a single location or at multiple locations, wherein each database or system includes any of various suitable security features, such as firewalls, access codes, encryption, decryption, compression, decompression, and/or the like.


System 1500 may be described herein in terms of functional block components and various processing steps. It should be appreciated that such functional blocks may be realized by any number of hardware and/or software components configured to perform the specified functions. For example, system 1500 may employ various integrated circuit components, e.g., memory elements, processing elements, logic elements, look-up tables, and the like, which may carry out a variety of functions under the control of one or more microprocessors or other control devices. Similarly, the software elements of the present invention may be implemented with any programming or scripting language such as C, C++, Java, COBOL, assembler, PERL, Visual Basic, SQL Stored Procedures, extensible markup language (XML), with the various algorithms being implemented with any combination of data structures, objects, processes, routines or other programming elements. Further, it should be noted that the present invention may employ any number of conventional techniques for data transmission, signaling, data processing, network control, and the like. Still further, system 1500 may be used to detect or prevent security issues with a client-side scripting language, such as JavaScript, VBScript or the like. For a basic introduction of cryptography and network security, see any of the following references: (1) “Applied Cryptography: Protocols, Algorithms, And Source Code In C,” by Bruce Schneier, published by John Wiley & Sons (second edition, 1995); (2) “Java Cryptography” by Jonathan Knudson, published by O'Reilly & Associates (1998); (3) “Cryptography & Network Security: Principles & Practice” by William Stallings, published by Prentice Hall; all of which are hereby incorporated by reference.


As will be appreciated by one of ordinary skill in the art, system 1500 may be embodied as a customization of an existing system, an add-on item, upgraded software, a stand-alone system, a distributed system, a method, a data processing system, a device for data processing, and/or a computer program item. Accordingly, system 1500 may take the form of an entirely software embodiment, an entirely hardware embodiment, or an embodiment combining aspects of both software and hardware. Furthermore, system 1500 may take the form of a computer program item on a computer-readable storage medium having computer-readable program code means embodied in the storage medium. Any suitable computer-readable storage medium may be utilized, including hard disks, CD-ROM, optical storage devices, magnetic storage devices, and/or the like.


The present invention is described herein with reference to block diagrams and flowchart illustrations of methods, apparatus (e.g., systems), and computer program items according to various aspects of the invention. It will be understood that each functional block of the block diagrams and the flowchart illustrations, and combinations of functional blocks in the block diagrams and flowchart illustrations, respectively, can be implemented by computer program instructions.


These computer program instructions may be loaded onto a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions that execute on the computer or other programmable data processing apparatus create means for implementing the functions specified in the flowchart block or blocks. These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart block or blocks. The computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks.


Accordingly, functional blocks of the block diagrams and flow diagram illustrations support combinations of means for performing the specified functions, combinations of steps for performing the specified functions, and program instruction means for performing the specified functions. It will also be understood that each functional block of the block diagrams and flowchart illustrations, and combinations of functional blocks in the block diagrams and flowchart illustrations, can be implemented by either special purpose hardware-based computer systems which perform the specified functions or steps, or suitable combinations of special purpose hardware and computer instructions. Further, illustrations of the process flows and the descriptions thereof may make reference to user windows, webpages, websites, web forms, prompts, etc. Practitioners will appreciate that the illustrated steps described herein may comprise in any number of configurations including the use of windows, webpages, web forms, popup windows, prompts and the like. It should be further appreciated that the multiple steps as illustrated and described may be combined into single webpages and/or windows but have been expanded for the sake of simplicity. In other cases, steps illustrated and described as single process steps may be separated into multiple webpages and/or windows but have been combined for simplicity.



FIG. 16 is a block diagram illustrating an exemplary embodiment of a method 1600 to facilitate an on-line purchase of at least one item on behalf of a consumer by a consolidated shopping website. CM host computer (e.g., CM host computer 1520) displays item information for an item on a CS website (e.g., CS website 1514) provided by CM host computer 1520 that is capable of being purchased on a different merchant website (e.g., merchant websites 1535 and/or 1545) (step 1610). CM host computer 1520 may charge an entity requesting the item be displayed on CS website 1514 a listing fee for displaying the item (step 1615).


In one exemplary embodiment, CM host computer 1520 may receive a request from a consumer computing device (e.g., consumer computing device 1520) via CS website 1514 to purchase an item displayed on CS website 1514 (step 1620). The request may then be scrubbed, denormalized, normalized and enriched with additional content (e.g., images, short description, long description, features, attributes, etc.). The enriched data may be obtained via the supplier, manufacturer, and/or data warehouses (e.g., CNET). The request may include transaction data and/or information related to the consumer (e.g., name, contact information (e.g., shipping address, telephone number, email address, etc.), payment instrument account information, etc.) input by the consumer at the time of the request. In another embodiment, the request may include transaction data and consumer information stored in a consumer profile accessible by CS website 1514.


With the transaction data and consumer information, CM host computer 1520 may access a merchant website (e.g., merchant website 1535 and/or 1545) that sells the item the consumer wishes to purchase (step 1630), and locate a webpage used for receiving orders (step 1640). In one embodiment, CM host computer 1520 may automatically access merchant website 1535 after the purchase request from the consumer is received or access merchant website 1535 in real-time. Applicants note that due to various possible configurations of merchant websites, steps 1630 and 1640 may be performed simultaneously (e.g., when the order webpage is included in the first page accessed on a merchant website).


On an order webpage, CM host computer 1520 may order the requested item on behalf of the consumer (step 1650). In one exemplary embodiment, CM host computer 1520 may repeat steps 1630, 1640 and/or 1650 multiple times when a single purchase request includes at least one item from each of two or more different merchant websites (step 1654).


When ordering an item, CM host computer 1520 may enter the transaction data and consumer information in the appropriate field(s) on the order webpage. In an exemplary embodiment, CM host computer 1520 may inject the transaction data and/or consumer information in the appropriate fields according to the methods described in, for example, U.S. Pat. No. 6,490,601.


In one embodiment, payment instrument account information included in the transaction data may be consumer payment instrument account information, and the consumer's payment instrument account may be debited by each merchant website for the amount purchased on that particular merchant website. In another embodiment, CM host computer 1520 may order the item on behalf of the consumer utilizing payment instrument account information for CM host computer 1520. In this embodiment, CM host computer's 1520 payment instrument account may be debited by each merchant website for the amount purchased at each merchant website, and CM host computer 1520 may subsequently cause to be debited a financial account of the consumer for the entire purchase amount, or for each individual amount debited by each merchant website 1535 (step 1658).


CM host computer 1520 may receive an order and/or shipping confirmation from the merchant website when the item has been successfully ordered and/or shipped (step 1660). In addition, CM host computer 1520 may report to the consumer the transaction information, order confirmation (independently of, or once the item(s) has/have been successfully ordered), and/or shipping confirmation once shipping confirmation from the merchant is received (step 1670).


In one exemplary embodiment, CM host computer 1520 may charge a transaction fee for placing the order with merchant website 1535 (step 1680). The transaction fee may be a set amount, a variable amount, random amount, percentage of the transaction and/or the like, and may be charged to the consumer, merchant website 1535, a wholesaler of the ordered item, a manufacturer of the ordered item and/or an issuer of the payment instrument used to place the order similar to the discussion above. In the case of a non-affiliated merchant website 1535, CM host computer 1520 may solicit a transaction fee from an entity by including a message suggesting that future orders may or may not be placed, and/or a payment instrument may of may not be used depending on whether the transaction fee is paid (step 1685).


Furthermore, CM host computer 1520 may offer and/or receive a rebate when placing the order (step 1690). The rebate may come from merchant website 1535, a wholesaler of the ordered item, a manufacturer of the ordered item and/or an issuer of the payment instrument used to place the order. A rebate may be initiated by CM host computer 1520 soliciting entities for a rebate similar to transaction fee embodiments discussed above in step 1685 (step 1695). A rebate may be offered to the consumer for using system 1500 to make the purchase request and/or may be part of a fundraiser, causing a financial account (not shown) of a school, church, research program, charity and/or any other designated entity to be credited.


Applicants note that the present invention has been described in the consumer-to-merchant context in which the consumer orders items from merchants or suppliers. The present invention may also be applied to a business-to-business e-commerce context to allow non-consumer entities to purchase goods and/or services.


Benefits, other advantages, and solutions to problems have been described herein with regard to specific embodiments. However, the benefits, advantages, solutions to problems, and any element(s) that may cause any benefit, advantage, or solution to occur or become more pronounced are not to be construed as critical, required, or essential features or elements of any or all the claims or the invention. The scope of the present invention is accordingly to be limited by nothing other than the appended claims, in which reference to an element in the singular is not intended to mean “one and only one” unless explicitly so stated, but rather “one or more.” Further, no element described herein is required for the practice of the invention unless expressly described as “essential” or “critical”.

Claims
  • 1. A method comprising: receiving, by a host computer, a product feed from a source;extracting, by the host computer, an image from the product feed;retrieving, by the host computer, an image from a web site;creating, by the host computer, a normalized product feed from a plurality of product feeds wherein the plurality of the product feeds comprise a first format;storing, by the host computer, the product feed image, the web site image, and the product feed in a database, wherein the database includes product data from a plurality of web sites;displaying, by the host computer, the product data including the product feed image and the website image for viewing on a single user interface;receiving, by the host computer, a request to purchase an item from among the product data, wherein the request includes order data entered into a first electronic form of a first website, and wherein the request is received at the first website; andplacing an order, by the host computer, for the item on a second website by inserting the order data into a second electronic form of the second website, without redirecting to the second website, wherein the second website offers the item.
  • 2. The method of claim 1, further comprising charging a transaction fee to at least one of the second website, a wholesaler of the item, a manufacturer of the item, a consumer of the item, and an issuer of a payment instrument used for placing the order.
  • 3. The method of claim 2, wherein the transaction fee comprises at least one of a set fee, a random fee, and a variable fee.
  • 4. The method of claim 2, wherein the charging the transaction fee comprises charging a set transaction fee based on at least one of a number of items purchased, a purchase amount, a number of websites where the placing the order occurs, a type of the item purchased, a payment method, a type of the payment instrument and per transaction.
  • 5. The method of claim 2, wherein the charging a transaction fee comprises charging a variable transaction fee based on at least one of a number of items purchased, a purchase amount, a number of websites where the placing the order occurs, a type of the item purchased, a payment method, a type of the payment instrument, per transaction, and a percentage.
  • 6. The method of claim 2, wherein the charging the transaction fee comprises charging an affiliated merchant website the transaction fee.
  • 7. The method of claim 2, wherein the charging the transaction fee comprises: charging a non-affiliated merchant website the transaction fee, andsoliciting the non-affiliated merchant website for the transaction fee.
  • 8. The method of claim 1, further comprising displaying information on the first website related to the item, wherein the item is capable of being ordered on the second website.
  • 9. The method of claim 1, further comprising charging a listing fee from at least one of the second website, a wholesaler and a manufacturer of the item.
  • 10. The method of claim 1, further comprising at least one of receiving and offering a rebate for placing the order.
  • 11. The method of claim 1, further comprising receiving a rebate from at least one of the second website, a wholesaler of the item, a manufacturer of the item and an issuer of the payment instrument.
  • 12. The method of claim 1, further comprising offering a rebate to at least one of a consumer, a school, a church, a research facility and a charitable organization.
  • 13. The method of claim 1, further comprising offering a rebate comprising at least one of a set fee, a random fee, and a variable fee.
  • 14. The method of claim 1, further comprising offering a set rebate based on at least one of a number of items purchased, a purchase amount, a number of websites where the placing the order occurs, a type of item purchased, a payment method, a type of the payment instrument and per transaction.
  • 15. The method of claim 1, wherein the order data is retrieved from a personal profile that is associated with a consumer of the item.
  • 16. The method of claim 1, further comprising parsing the normalized product feed and the product feed image into categorized data elements to determine if a category exists in a product table which corresponds to the categorized data elements, wherein the categorized data elements are added to a buffer table in response to the category not existing and the categorized data elements are integrated with stored product data to form integrated data within the product table in response to the category existing to create integrated data.
  • 17. The method of claim 16, further comprising providing the integrated data to a consumer wherein the consumer may utilize a single shopping website to search for, compare prices and order the items, wherein the items are associated with the stored product data from the plurality of websites, wherein each of the plurality of websites may be associated with a different merchant.
  • 18. The method of claim 1, further comprising placing a second order, by the host computer, for a second item on a third website by inserting a second order data into an electronic form of the third website without redirecting to the third website, wherein the third website offers the second item for sale, and wherein the first website, the second website, and the third website are each different websites.
  • 19. A non-transitory computer-readable media having instructions stored thereon that, responsive to being executed by a host computer, cause the host computer to perform operations comprising: receiving, by the host computer, a product feed from a source;extracting, by the host computer, an image from the product feed;retrieving, by the host computer, an image from a web site;creating, by the host computer, a normalized product feed from a plurality of product feeds wherein the plurality of the product feeds comprise a first format;storing, by the host computer, the product feed image, the web site image, and the product feed in a database, wherein the database includes product data from a plurality of web sites;displaying, by the host computer, the product data including the product feed image and the website image for viewing on a single user interface;receiving, by the host computer, a request to purchase an item from among the product data, wherein the request includes order data entered into a first electronic form of a first website, and wherein the request is received at the first website; andplacing an order, by the host computer, for the item on a second website by inserting the order data into a second electronic form of the second website, without redirecting to the second website, wherein the second website offers the item.
  • 20. A host computer providing a first website configured to facilitate an on-line purchase of an item, the host computer configured to: receive a product feed from a source;extract an image from the product feed;retrieve an image from a web site;create a normalized product feed from a plurality of product feeds wherein the plurality of the product feeds comprise a first format;store the product feed image, the web site image, and product feed in a database, wherein the database includes product data from a plurality of web sites;display the product data including the product feed image and the web site image for viewing on a single user interface;receive a request to purchase the item from among the product data, wherein the request includes order data entered into a first electronic form of a first website, and wherein the request is received at the first website; andplace an order for the item on a second website by inserting the order data into a second electronic form of the second website, without redirecting the consumer to the second website, wherein the second website offers the item.
CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a continuation of, and claims priority to, U.S. patent application Ser. No. 11/940,149 entitled ONLINE ORDERING SYSTEM AND METHOD filed on Nov. 14, 2007. The '149 application is a continuation-in-part of, and claims priority to U.S. Pat. No. 7,412,409 issued on Aug. 12, 2008 (aka U.S. patent application Ser. No. 11/125,593 entitled ONLINE ORDERING MEDIUM AND METHOD, filed on May 9, 2005). The '409 patent claims priority to U.S. Provisional Patent Application Ser. No. 60/521,507, filed on May 7, 2004. The '409 patent is a continuation-in-part of, and also claims priority to, U.S. Pat. No. 7,373,314 issued on May 13, 2008 (aka U.S. application Ser. No. 09/882,368 entitled UNIFIED PRODUCT PURCHASING METHOD, filed on Jun. 15, 2001). The '314 patent claims priority to U.S. Provisional Patent Application No. 60/212,103, filed Jun. 15, 2000. All of which are hereby incorporated by reference.

US Referenced Citations (130)
Number Name Date Kind
5450537 Hirai et al. Sep 1995 A
5537586 Amram et al. Jul 1996 A
5550746 Jacobs Aug 1996 A
5710884 Dedrick Jan 1998 A
5710887 Chelliah et al. Jan 1998 A
5721940 Luther et al. Feb 1998 A
5754981 Veeneman et al. May 1998 A
5774874 Veeneman et al. Jun 1998 A
5799157 Escallon Aug 1998 A
5832100 Lawton et al. Nov 1998 A
5844971 Elias et al. Dec 1998 A
5862223 Walker et al. Jan 1999 A
5870552 Dozier et al. Feb 1999 A
5872915 Dykes et al. Feb 1999 A
5878141 Daly et al. Mar 1999 A
5933778 Buhrmann et al. Aug 1999 A
5937064 Eick et al. Aug 1999 A
5960411 Hartman et al. Sep 1999 A
5966697 Fergerson et al. Oct 1999 A
5970474 LeRoy et al. Oct 1999 A
5987440 O'Neil et al. Nov 1999 A
5995756 Hermann Nov 1999 A
6023683 Johnson et al. Feb 2000 A
6029141 Bezos et al. Feb 2000 A
6035276 Newman et al. Mar 2000 A
6055516 Johnson et al. Apr 2000 A
6064382 Diedrich et al. May 2000 A
6083279 Cuomo et al. Jul 2000 A
6088700 Larsen et al. Jul 2000 A
6101482 DiAngelo et al. Aug 2000 A
6125353 Yagasaki Sep 2000 A
6182127 Cronin, III et al. Jan 2001 B1
6192380 Light et al. Feb 2001 B1
6192381 Stiegemeier et al. Feb 2001 B1
6193152 Fernando et al. Feb 2001 B1
6199079 Gupta et al. Mar 2001 B1
6208339 Atlas et al. Mar 2001 B1
6256623 Jones Jul 2001 B1
6320952 Bruno et al. Nov 2001 B1
6327598 Kelley et al. Dec 2001 B1
6334114 Jacobs et al. Dec 2001 B1
6345256 Milsted et al. Feb 2002 B1
6345278 Hitchcock et al. Feb 2002 B1
6360205 Iyengar et al. Mar 2002 B1
6381597 Lin Apr 2002 B1
6409592 McCoy et al. Jun 2002 B1
6490601 Markus Dec 2002 B1
6490602 Kraemer Dec 2002 B1
6496855 Hunt et al. Dec 2002 B1
6499042 Markus Dec 2002 B1
6499052 Hoang et al. Dec 2002 B1
6505172 Johnson et al. Jan 2003 B1
6505230 Mohan et al. Jan 2003 B1
6510459 Cronin, III et al. Jan 2003 B2
6535880 Musgrove et al. Mar 2003 B1
6571214 Newman et al. May 2003 B2
6578011 Forward Jun 2003 B1
6589290 Maxwell et al. Jul 2003 B1
6594644 Van Dusen Jul 2003 B1
6629135 Ross, Jr. et al. Sep 2003 B1
6643624 Philippe et al. Nov 2003 B2
6651217 Kennedy et al. Nov 2003 B1
6662340 Rawat et al. Dec 2003 B2
6704906 Yankovich et al. Mar 2004 B1
6725222 Musgrove et al. Apr 2004 B1
6772139 Smith, III Aug 2004 B1
6785671 Bailey et al. Aug 2004 B1
6820204 Desai et al. Nov 2004 B1
6842737 Stiles et al. Jan 2005 B1
6856963 Hurwitz Feb 2005 B1
6879960 Nascenzi et al. Apr 2005 B2
6892185 Van Etten et al. May 2005 B1
6895388 Smith May 2005 B1
6944669 Saccocio Sep 2005 B1
6959414 Kakehashi Oct 2005 B1
7006993 Cheong et al. Feb 2006 B1
7047211 Van Etten et al. May 2006 B1
7051273 Holt et al. May 2006 B1
7058598 Chen et al. Jun 2006 B1
7174342 Scheurich et al. Feb 2007 B1
7185069 Costin et al. Feb 2007 B2
7305355 Tarvydas Dec 2007 B2
7328176 Tarvydas Feb 2008 B2
7330826 Porat et al. Feb 2008 B1
7334184 Simons Feb 2008 B1
7373314 Aliabadi May 2008 B2
7412409 Aliabadi Aug 2008 B2
7552365 Marsh et al. Jun 2009 B1
20010011250 Paltenghe et al. Aug 2001 A1
20010016828 Philippe et al. Aug 2001 A1
20010021915 Cohen et al. Sep 2001 A1
20010032094 Ghosh et al. Oct 2001 A1
20020002496 Miller et al. Jan 2002 A1
20020004735 Gross Jan 2002 A1
20020013788 Pennell et al. Jan 2002 A1
20020038255 Tarvydas et al. Mar 2002 A1
20020065737 Aliabadi et al. May 2002 A1
20020087496 Stirpe et al. Jul 2002 A1
20020108057 Zhanhong Wu et al. Aug 2002 A1
20020120474 Hele et al. Aug 2002 A1
20020161605 Newman et al. Oct 2002 A1
20020174018 Bunger et al. Nov 2002 A1
20020194125 Shimada Dec 2002 A1
20030028792 Plow et al. Feb 2003 A1
20030050855 Jaffe et al. Mar 2003 A1
20030065721 Roskind Apr 2003 A1
20030093321 Bodmer et al. May 2003 A1
20030140312 Mohan et al. Jul 2003 A1
20040019536 Askenazi et al. Jan 2004 A1
20040039988 Lee et al. Feb 2004 A1
20040064351 Mikurak Apr 2004 A1
20040205525 Murren et al. Oct 2004 A1
20040205526 Borodovski et al. Oct 2004 A1
20040205530 Borg Oct 2004 A1
20040267674 Feng et al. Dec 2004 A1
20050044423 Mellmer et al. Feb 2005 A1
20050273396 Aliabadi et al. Dec 2005 A1
20060000900 Fernandes et al. Jan 2006 A1
20060041485 Tarvydas et al. Feb 2006 A1
20060178918 Mikurak Aug 2006 A1
20070011146 Holbrook Jan 2007 A1
20080033834 Tarvydas et al. Feb 2008 A1
20080033839 Tarvydas et al. Feb 2008 A1
20080046337 Tarvydas et al. Feb 2008 A1
20080046338 Tarvydas et al. Feb 2008 A1
20080162298 Aliabadi et al. Jul 2008 A1
20080306835 Agura et al. Dec 2008 A1
20090281914 Tarvydas et al. Nov 2009 A1
20090281927 Aliabadi et al. Nov 2009 A1
20110035293 Tarvydas et al. Feb 2011 A1
Foreign Referenced Citations (3)
Number Date Country
WO 9804976 Feb 1998 WO
0031657 Jun 2000 WO
WO 0031657 Jun 2000 WO
Non-Patent Literature Citations (115)
Entry
Girishankar, Saroja; “Build the e-commerce catalog,” Informationweek, n763, pp. 74-80, Nov. 29, 1999.
USPTO; Advisory Action dated Nov. 4, 2011 in U.S. Appl. No. 12/708,297.
USPTO; Office Action dated Nov. 25, 2011 in U.S. Appl. No. 11/860,645.
USPTO; Advisory Action dated Apr. 1, 2011 in U.S. Appl. No. 12/128,587.
USPTO; Final Office Action dated Jan. 27, 2011 in U.S. Appl. No. 12/128,587.
USPTO; Office Action dated Oct. 6, 2010 in U.S. Appl. No. 12/128,587.
Lauri Giesen, “Online Shopping: How Will Consumers Pay?” Financial Service Online, vol. 4, No. 9, p. 38, Oct. 1999.
Preddy, M., “Mall of Michigan Debuts on Internet in May,” Detroit News, p. B1, Apr. 18, 1997.
O'Brien, Jim, Don't Check Out Without Them—Desktop Shopping Agents, Computer Shopper, p. 85, Mar. 2000.
US6047266, Apr. 4, 2000, Bartoli et al. (withdrawn), http://www.freepatentsonline.com/6047266.html?query=PN%2F6047266+OR+6047266&stemming=on.
Non-Final Office Action mailed Jul. 9, 2003 in U.S. Appl. No. 09/523,410.
Final Office Action mailed Jul. 8, 2005 in U.S. Appl. No. 09/523,410.
Advisory Action mailed Sep. 1, 2005 in U.S. Appl. No. 09/523,410.
Non-Final Office Action mailed Nov. 28, 2005 in U.S. Appl. No. 09/523,410.
Final Office Action mailed May 15, 2005 in U.S. Appl. No. 09/523,410.
Advisory Action mailed Aug. 8, 2006 in U.S. Appl. No. 09/523,410.
Non-Final Office Action mailed Oct. 5, 2006 in U.S. Appl. No. 09/523,410.
Notice of Allowance mailed Nov. 19, 2007 in U.S. Appl. No. 09/523,410.
Non-Final Office Action mailed May 7, 2004 in U.S. Appl. No. 09/880,723.
Final Office Action mailed Oct. 22, 2004 in U.S. Appl. No. 09/880,723.
Advisory Action mailed Jan. 14, 2005 in U.S. Appl. No. 09/880,723.
Non-Final Office Action mailed Feb. 28, 2005 in U.S. Appl. No. 09/880,723.
Final Office Action mailed Jul. 22, 2005 in U.S. Appl. No. 09/880,723.
Requirement for Restriction mailed Oct. 18, 2005 in U.S. Appl. No. 09/880,723.
Non-Final Office Action mailed Jan. 10, 2006 in U.S. Appl. No. 09/880,723.
Non-Final Office Action mailed Jul. 20, 2006 in U.S. Appl. No. 09/880,723.
Final Office Action mailed Jan. 19, 2007 in U.S. Appl. No. 09/880,723.
Advisory Action mailed Mar. 23, 2007 in U.S. Appl. No. 09/880,723.
Notice of Allowance mailed Sep. 17, 2007 in U.S. Appl. No. 09/880,723.
Requirement for Restriction mailed Jan. 10, 2006 in U.S. Appl. No. 11/163,707.
Non-Final Office Action mailed Apr. 13, 2006 in U.S. Appl. No. 11/163,707.
Non-Final Office Action mailed Sep. 26, 2006 in U.S. Appl. No. 11/163,707.
Advisory Action mailed Jun. 26, 2007 in U.S. Appl. No. 11/163,707.
Notice of Allowance mailed Nov. 8, 2007 in U.S. Appl. No. 11/163,707.
Non-Final Office Action mailed Jul. 24, 2008 in U.S. Appl. No. 11/841,367.
Final Office action mailed Feb. 24, 2009 in U.S. Appl. No. 11/841,367.
Advisory Action mailed Mar. 26, 2009 in U.S. Appl. No. 11/841,367.
Notice of Allowance mailed Jul. 13, 2009 in U.S. Appl. No. 11/841,367.
Non-Final Office Action mailed Jul. 25, 2008 in U.S. Appl. No. 11/841,412.
Final Office Action mailed Jan. 8, 2009 in U.S. Appl. No. 11/841,412.
Advisory Action mailed Mar. 26, 2009 in U.S. Appl. No. 11/841,412.
Notice of Allowance mailed Jul. 7, 2009 in U.S. Appl. No. 11/841,412.
Non-Final Office Action mailed Aug. 7, 2008 in U.S. Appl. No. 11/841,448.
Final Office Action mailed Jan. 8, 2009 in U.S. Appl. No. 11/841,448.
Advisory Action mailed Mar. 26, 2009 in U.S. Appl. No. 11/841,448.
Notice of Allowance mailed Jul. 7, 2009 in U.S. Appl. No. 11/841,448.
Non-Final Office Action mailed Aug. 6, 2008 in U.S. Appl. No. 11/841,484.
Final Office Action mailed Jan. 7, 2009 in U.S. Appl. No. 11/841,484.
Advisory Action mailed Mar. 26, 2009 in U.S. Appl. No. 11/841,484.
Notice of Allowance mailed Jul. 7, 2009 in U.S. Appl. No. 11/841,484.
USPTO; Notice of Allowance dated Feb. 22, 2011 in U.S. Appl. No. 12/902,099.
USPTO; Notice of Allowance dated Jul. 12, 2010 in U.S. Appl. No. 12/504,486.
USPTO; Office Action dated Apr. 12, 2011 in U.S. Appl. No. 12/708,297.
USPTO; Advisory Action dated Feb. 24, 2011 in U.S. Appl. No. 12/708,297.
USPTO; Final Office Action dated Dec. 14, 2010 in U.S. Appl. No. 12/708,297.
USPTO; Office Action dated Oct. 6, 2010 in U.S. Appl. No. 12/708,297.
Lemay, Laura; Java 1.1: Interactive Course, 1997, The Waite Group.
Cozzens, Lisa; JavaScript Tutorial, http://www.cs.brown.edu/courses/bridge/1998/res/javascript-tutorial.html, 1998.
Printout of Website for “About eWallet,” http://222.ewallet.com, Jan. 11, 1999, 4 pages.
Printout for Website for Transactor networks (CitiWallet), http://www.transactor.net.com, Jan. 11, 1999, 4 pages.
“iSyndicate and InfoSpace Team to Broadly Deliver Consumer Services,” PR Newswire, New York: Mar. 20, 2000, p. 1.
Sirbu, Marvin, et al., “NetBill: An Internet Commerce System Optimized for Network-Delivered Services,” IEEE Personal Communications, 34-39, Aug. 1995.
Unknown:, “Gator offers one-click shopping at over 5,000 e-commerce sites today,” Internet Publication, origin unknown, Jan. 14, 1999.
Unknown: “E-Commerce Leaders Announce Universal Formats for Simplified Online Payments,” Internet Publication, origin unknown, Jun. 14, 1999.
Cingil, “Supporting Global User Profiles Through Trusted Authorities,” Data Management Issues in Electronic Commerce, vol. 31, issue 1, Mar. 2000, pp. 11-17.
Anonymous, “CDW Computer Centers: CDW Computer Centers Takes Online Shopping to the Next Level,” Business Wire, May 18, 1998.
Bonisteel, S., “Company Sees One Shopping ‘Basket’ for Enter Web Oct. 28, 1999,” Newsbytes, Oct. 28, 1999.
Anonymous, “BuyerZone.com Announces Most Advanced eCommerce System for Small to Mid-Sized Businesses,” Business Wire, Dec. 13, 1999.
alexa.com screen captures via the WayBackMachine (archieve.org) and dated Feb. 29, 2000.
“SmartShop.com Simplifies the Online Shopping Experience; New Site Promises to Redefine Internet Shopping,” Business Editors; Business Wire; Nov. 29, 1999.
Non-Final Office Action mailed Nov. 17, 2005 in U.S. Appl. No. 11/125,593.
Final Office Action mailed Apr. 26, 2006 in U.S. Appl. No. 11/125,593.
Advisory Action mailed Jul. 20, 2006 in U.S. Appl. No. 11/125,593.
Non-Final Office Action mailed Oct. 6, 2006 in U.S. Appl. No. 11/125,593.
Final Office Action mailed Apr. 30, 2007 in U.S. Appl. No. 11/125,593.
Advisory Action mailed Aug. 8, 2007 in U.S. Appl. No. 11/125,593.
Non-Final Office Action mailed Nov. 19, 2007 in U.S. Appl. No. 11/125,593.
Notice of Allowance mailed May 21, 2008 in U.S. Appl. No. 11/125,593.
Non-Final Office Action mailed May 12, 2004 in U.S. Appl. No. 09/882,368.
Final Office Action mailed Aug. 30, 2004 in U.S. Appl. No. 09/882,368.
Advisory Action mailed Nov. 9, 2004 in U.S. Appl. No. 09/882,368.
Non-Final Office Action mailed Nov. 29, 2004 in U.S. Appl. No. 09/882,368.
Final Office Action mailed Jun. 9, 2005 in U.S. Appl. No. 09/882,368.
Advisory Action mailed Aug. 31, 2005 in U.S. Appl. No. 09/882,368.
Non-Final Office Action mailed Dec. 5, 2005 in U.S. Appl. No. 09/882,368.
Non-Final Office Action mailed Apr. 24, 2006 in U.S. Appl. No. 09/882,368.
Final Office Action mailed Oct. 24, 2006 in U.S. Appl. No. 09/882,368.
Advisory Action mailed Dec. 27, 2006 in U.S. Appl. No. 09/882,368.
Non-Final Office Action mailed Apr. 2, 2007 in U.S. Appl. No. 09/882,368.
Non-Final Office Action mailed Aug. 30, 2007 in U.S. Appl. No. 09/882,368.
Notice of Allowance mailed Dec. 12, 2007 in U.S. Appl. No. 09/882,368.
USPTO; Office Action dated Jan. 20, 2004 in U.S. Appl. No. 09/595,622.
USPTO; Final Office Action dated Dec. 30, 2004 in U.S. Appl. No. 09/595,622.
USPTO; Office Action dated Apr. 19, 2005 in U.S. Appl. No. 09/595,622.
USPTO; Final Office Action dated Aug. 24, 2005 in U.S. Appl. No. 09/595,622.
USPTO; Advisory Action dated Oct. 5, 2005 in U.S. Appl. No. 09/595,622.
USPTO; Office Action dated Dec. 8, 2005 in U.S. Appl. No. 09/595,622.
USPTO; Final Office Action dated Jun. 1, 2006 in U.S. Appl. No. 09/595,622.
USPTO; Advisory Action dated Aug. 14, 2006 in U.S. Appl. No. 09/595,622.
USPTO; Office Action dated Aug. 31, 2006 in U.S. Appl. No. 09/595,622.
USPTO; Final Office Action dated Apr. 11, 2007 in U.S. Appl. No. 09/595,622.
USPTO; Advisory Action dated Jul. 24, 2007 in U.S. Appl. No. 09/595,622.
USPTO; Notice of Allowance dated Sep. 12, 2007 in U.S. Appl. No. 09/595,622.
USPTO; Advisory Action dated Sep. 13, 2005 in U.S. Appl. No. 09/880,723.
USPTO; Final Office Action dated Apr. 26, 2007 in U.S. Appl. No. 11/163,707.
USPTO; Final Office Action dated Aug. 19, 2011 in U.S. Appl. No. 12/708,297.
USPTO; Notice of Allowance dated Jul. 1, 2011 in U.S. Appl. No. 13/035,690.
USPTO; Office Action dated Sep. 17, 2010 in U.S. Appl. No. 11/860,645.
USPTO; Final Office Action dated Dec. 9, 2010 in U.S. Appl. No. 11/860,645.
USPTO; Advisory Action dated Mar. 2, 2011 in U.S. Appl. No. 11/860,645.
USPTO; Office Action dated Sep. 2, 2011 in U.S. Appl. No. 11/940,149.
USPTO; Office Action dated Jun. 13, 2011 in U.S. Appl. No. 12/128,587.
Mukherjee, “Automating Forms Publishing with the Intelligent Filling Manager,” IEEE 1999, pp. 308-313.
Bowen, Barry D., “How Popular Sites Use Cookie Technology,” Netscape Enterprise Developer, Apr. 1997.
Maret, et al., “Multimedia Information Interchange: Web Forms Meet Data Services,” IEEE 1999, pp. 499-505.
Related Publications (1)
Number Date Country
20090281890 A1 Nov 2009 US
Provisional Applications (2)
Number Date Country
60521507 May 2004 US
60212103 Jun 2000 US
Continuations (1)
Number Date Country
Parent 11940149 Nov 2007 US
Child 12507314 US
Continuation in Parts (2)
Number Date Country
Parent 11125593 May 2005 US
Child 11940149 US
Parent 09882368 Jun 2001 US
Child 11125593 US