The present inventive concepts relate generally to the identification of delivery drivers, and more specifically, to the delivery of items purchased at a store from the store to a specified location.
A store customer often may choose not to purchase a large store item because the customer does not have the means, for example, a large car or truck, to transport the store item to the customer's home or other designated location.
In one aspect, provided is a system for delivering store items to a selected destination, comprising: a store computer that receives selected store item data including a delivery request; a delivery request database that stores the delivery request; and a delivery request application processor that provides a rule that includes criteria for selecting at least one delivery driver and generates a result that identifies a delivery driver of the at least one delivery driver satisfying the criteria of the generated rule.
In some embodiments, the system may comprise a delivery driver portal that includes a display for displaying a list of outstanding deliveries and for submitting an acceptance to the delivery request.
In some embodiments, available delivery drivers of the at least one delivery driver satisfying the criteria may submit bids from the delivery driver portal to perform a requested delivery.
In some embodiments, the system may further comprise a customer portal that includes information on a delivery driver of the at least one delivery driver satisfying the criteria, and may provide to a display a list of qualified delivery drivers for consideration to deliver the store item according to the delivery request.
In some embodiments, the system may further comprise a delivery driver database that stores a list of available delivery drivers for performing the requested delivery.
In some embodiments, the delivery request application processor may vet the list of available delivery drivers according to the rule criteria and generates a list of qualified available delivery drivers.
In some embodiments, the system may further comprise a bid processor, wherein the qualified available delivery drivers may submit from a computer a bid to perform the requested delivery.
In some embodiments, additional information about the qualified available delivery drivers may be presented to the customer for selecting a driver from the qualified available delivery drivers.
In some embodiments, the bid processor may exchange data with the rules engine, establishing that a driver submitting a lowest bid is to be awarded the job of performing a delivery in accordance with a delivery request.
In some embodiments, the delivery request application processor may automatically generate a selected delivery driver of the list of qualified available delivery drivers.
In some embodiments, the system may further comprise at least one sensor that determines at least one of a measurement a vehicle to be used by the at least one delivery driver or a measurement of a store item, and generates a result processed by the delivery request application processor.
In some embodiments, the delivery request application processor may perform a match between a customer purchases requiring delivery with a delivery driver to identify one or more delivery drivers that satisfy the criteria.
In some embodiments, the criteria includes a bid delta.
In another aspect, provided is a method for delivering store items, comprising: storing selected store item data in a data repository, the selected store item data including a delivery request; generating a rule that includes criteria for selecting at least one delivery driver; and generating a result that identifies a delivery driver of the at least one delivery driver that satisfies the criteria of the generated rule.
In some embodiments, the method may further comprises providing a customer portal that includes information on the delivery driver submitting the accepted delivery request and receives the accepted delivery request from the delivery driver portal and for accepting the delivery driver submitting the accepted delivery request.
In some embodiments, the method may further comprise storing a list of available delivery drivers for performing the requested delivery, and determining the list of available delivery drivers according to the rule criteria and generates a list of qualified available delivery drivers.
In some embodiments, the method may further comprise outputting the qualified available delivery drivers to a bid to identify available drivers to perform the requested delivery.
In some embodiments, additional information about the qualified available delivery drivers may be presented to the customer for selecting a driver from the qualified available delivery drivers.
In another aspect, provided is a delivery request application device, comprising a rules engine that stores a set of criteria, which establishes conditions for selecting at least one delivery driver; a delivery request processor that processes a delivery request made by a purchaser of a store item; a delivery factor calculator that establishes a delivery cost of the item; and driver qualification processor that generates a result that identifies a delivery driver of the at least one delivery driver satisfying the criteria of the generated rule.
In some embodiments, the delivery request application device may further comprise a bid processor that processes bids to deliver the store item under the conditions by delivery drivers of the at least one delivery driver.
In another aspect, provided is a computer system with one or more memory storage devices and one or more processors, the computer system configured to: store data related to a selected store item in a data repository of the memory storage devices, the store data including a dimension of the item; generate a rule that includes criteria for selecting at least one delivery driver; and identify a delivery driver of the at least one delivery driver satisfies the criteria of the generated rule.
The above and further advantages may be better understood by referring to the following description in conjunction with the accompanying drawings, in which like numerals indicate like structural elements and features in various figures. The drawings are not necessarily to scale, emphasis instead being placed upon illustrating the principles of the concepts.
In brief overview, embodiments of the present inventive concepts relate to a delivery service for items from stores, member clubs, or related retail establishments by matching customer purchases requiring delivery with a delivery driver. Accordingly, customers can purchase store items otherwise not possible due to delivery constraints, thereby increasing store sales.
The environment includes a communications network 16 that permits the various electronic devices of the environment to communicate with each other. The network 16 may be a public switched telephone network (PSTN), a mobile communications network, a data network, such as a local area network (LAN) or wide area network (WAN), or a combination thereof, or other communication network known to those of ordinary skill in the art.
Environment elements may include but not be limited to one or more of each of a delivery request database 18, a point of sale (POS) terminal 20, a retail system server 22, a delivery driver portal 24, a delivery request application processor 26, a delivery driver database 28, or a combination thereof, which can communicate with each other over the network 16.
In some embodiments, the environment includes a shopper's mobile electronic device 12 such as a smartphone, electronic notebook, laptop computer, and so on, at which a shopping application 13 may be executed. The shopping application 13 may include a customer portal, which can include information on delivery drivers and/or retrieve such information from an external data repository, generate and process inputs from the customer regarding feedback on shopping and delivery experiences, initiate delivery requests, and so on. In some embodiments, the customer portal may be at a different computer than the mobile electronic device 12. The customer portal may include information on the delivery driver submitting an accepted delivery request and receives the accepted delivery request from the delivery driver portal and for accepting the delivery driver submitting the accepted delivery request. For example, information about a qualified available delivery driver may be presented to the customer for making an informed decision about selecting a driver from the qualified available delivery drivers.
The POS terminal 20 provides technology for completing a retail transaction. Here, a customer may purchase store items by making a payment to a store associate or by an “express payment” or automatic payment. The POS terminal 20 may include a printer for providing invoice payment information, payment receipts, coupons for future purchases, and so on. The POS terminal 20 may be part of a system that includes other customized hardware and software for optimizing a customer checkout, including but not limited to weighing scales, scanners, electronic and manual cash registers, and/or touch screens. The POS terminal 20 may generate and output data in response to a transaction to other computer elements of the environment performing various functions, such as inventory management, customer relationship management (CRM), financial, warehousing, advertising/marketing, and so on.
The delivery request database 18 is constructed and arranged for storing delivery requests.
The delivery request application processor 26 can establish criteria for a delivery vehicle to be used in delivering store items according to customer requests. The delivery request application processor 26 can also perform a match between a customer purchases requiring delivery with a delivery driver to identify one or more delivery drivers that satisfy the predetermined criteria. The delivery request application processor 26 can also determine whether a driver is acceptable for performing the requested delivery. Accordingly, the delivery request application processor 26 can vet the list of available delivery drivers according to rule criteria and generate a list of qualified available delivery drivers. The delivery request application processor 26 may further automatically generate a result that includes a selected delivery driver of the list of qualified available delivery drivers that satisfies the criteria of a generated rule, instead of the customer selecting the delivery driver from the list. A business decision may be made whether to allow the customer to select the driver of preference from the list, or allow the customer to select a driver for a particular situation.
The retail system server 22, or store computer, may store and process shopper list items, item location information, inventory data, but is not limited thereto. The POS terminal 20 can communicate with the retail system server 22 for providing sales transaction data to the server 22, for example, to store purchase history data. The store computer 22 may also receive a delivery request with store item data.
The delivery driver portal 24 receives and processes delivery requests, which can be viewed at a portal display by prospective drivers, who may reply to the requests as candidates for fulfilling the criteria set forth in the delivery requests. In addition to accepting requests, in some embodiments, the delivery driver portal 24 may be used for drivers to bid for a delivery. The delivery driver portal 24 may display a list of outstanding deliveries regardless of whether drivers have been selected for performing the deliveries, in addition to displaying a current delivery request. People who are interested in becoming delivery drivers may register at the delivery driver portal 24. Here, an interested person may complete a questionnaire, the contents of which maybe be stored at the delivery driver database 28. A driver candidate may be required to undergo a qualification process, for example, providing a resume, completing a written and/or road test, providing references, and so on. Data related to the qualification process may be stored at the delivery driver database 28 for subsequent retrieval and review by customers, store managers, or other authorized and interested parties.
The delivery driver database 28 stores a list of available delivery drivers for performing the requested delivery. The delivery request application processor 26 can update the delivery driver database 28 with driver data received from the customer portal, the delivery driver portal 24, and/or other sources. For example, the delivery request application processor 26 may receive information from a database that a driver was recently arrested for drunk driving, or that a vehicle identification stored at the database 28 is associated with a stolen vehicle. This data can be added to a record on the driver, and stored at the delivery driver database 28.
The rules engine 202 stores a set of criteria, or rules, which establish conditions, for example, a type of vehicle for delivering items according to a delivery request. For example, a delivery request may be to deliver a large television set. The rules engine 202 may establish a rule that any qualified delivery driver must have a vehicle that can accommodate the dimensions of the television set, e.g., height, length, width, weight, and so on. The established rule may be applied to a comparison between a customer purchase requiring delivery with a delivery driver to determine whether the driver accepting the delivery request is acceptable.
The delivery request processor 204 processes delivery requests received from the delivery request database 18. In some embodiments, the delivery requests are parsed from store item data received at the store computer 22, and output from the store computer 22 or database 18 to the delivery request processor 204. The delivery request processor 204 can generate and send a notification to the customer, for example, the customer's mobile device 12, that a request made by the customer has been accepted. The destination of the notification may be established as part of a setup process for the customer of the delivery driver, where the customer may be asked to enter how the customer would like to be contacted (email, automated phone message, text message), along with the relevant information for that contact method. The notification may be a prerecorded or predetermined message stored at the delivery request database 18 or other data repository.
The bid processor 206 may receive bids from the driver portal 24, where available delivery drivers may submit bids to perform a requested delivery. The bid processor 206 may include a set of criteria for processing bids, for example, setting a bidding rate, such as a maximum or minimum rate, which can be set by the store customer, e.g., entered from the customer's mobile electronic device 12. The bid processor 206 may exchange data with the rules engine 202, for example, establishing that a driver submitting the lowest bid is awarded the job of performing a delivery in accordance with a delivery request. Another criteria include a bid delta, or how much a driver must underbid so that drivers do not underbid each other by some insignificant amount.
In other embodiments, a customer may circumvent the bidding process, and select the driver based on personal preference or other criteria, instead of the bid processor 206 identifying preferable bidders for delivering items.
The delivery factor calculator 208 may establish a delivery cost based on the time of day, size of delivery, distance of delivery. Drivers may be paid based on distance of the delivery, size of the item being delivered, reputation based on past deliveries, and so on. Delivery factors such as location, distance, time of year, availability of drivers, and so on may affect the delivery cost. The delivery driver may include such factors when accepting a delivery request or submitting a bid. Alternatively, the bid processor 206 may automatically consider such factors when generating bid responses, selecting a driver to perform a delivery according to a request, and so on.
The driver qualification processor 210 may vet a list of available delivery drivers and/or their vehicles according to the rule criteria established by the rules engine 202 and/or data regarding drivers from the delivery driver database 28 and/or other source in order to generate a list of qualified available delivery drivers. The driver qualification processor 210 can generate a result that identifies a delivery driver of the at least one delivery driver satisfying pre-established rule criteria, for example, a type of vehicle for delivering items according to a delivery request, or a drug-free driver, and so on. Vehicle information may be stored at the delivery driver database 28 or other portal, and include type of vehicle, dimensions for carrying items, weight capacity, and/or other relevant data that may be used to determine whether store items selected for delivery may indeed be feasibly delivered by a vehicle of interest.
The list of qualified drivers may be delivered directly to the customer portal at the customer device 12 for consideration or may be output to the bid processor 206.
At step 302, a customer purchases a store item and requests delivery of the item. Here, the customer can check out at the POS terminal 20 in a normal manner, for example, a store associate may scan barcodes on store items, process payment of the item by the customer, and so on. The transaction data is output from the POS terminal 20 to the retail system server 22. The customer also has the option of requesting a delivery driver. In some embodiments, the cashier initiates a request for a delivery driver by entering a phone number or other information that can associate the registered transaction to the mobile device application 13.
At step 304, the retail system server 22 receives from the POS terminal 20 the selected store item data including the delivery request, and generates an entry in the delivery request database 18.
At step 306, the delivery request application processor 26 pulls new requests from the delivery request database 18, and processes the requests. In doing so, the request application processor 26 can calculate delivery costs. Cost of the delivery may be based on the time of day, size of delivery, distance of delivery. The requests from the request database 18 may be compared with available drivers step 307 pulled from the delivery driver database 28 to identify possible drivers who may perform deliveries according to the pulled requests.
In processing the request, the delivery request application processor 26 can rely on the rules engine 202 to establish criteria for the delivery vehicle to be used. For example, a rule can establish that the vehicle for delivery must be less than 10 years old, under 100,000 miles, and so on. Another criterion may be that the vehicle must be a truck having a flatbed of a predetermined size, which can be compared to the size of the item to be delivered in the delivery request.
At step 308, the delivery request application processor 26 publishes a list of requests to the delivery driver portal 24 for each delivery driver, preferably only drivers that qualify to perform a delivery.
At step 310, a delivery driver, or more specifically, a computer having a display, may receive and view information related to a delivery request. In some embodiments, the delivery driver may receive a notification that there are new delivery requests on the delivery driver portal 24. One or more delivery drivers can view a list of outstanding deliveries on the delivery driver portal, and at step 312 a delivery driver can accept a delivery request.
At step 314, the delivery driver portal 24 sends an acceptance by one or more delivery drivers to the delivery request application processor 26. If a single driver acceptance is received, then at step 316 the customer can receive a direct notification. If multiple acceptances are received, then a bidding process may be performed for example by the bid processor 206 to determine which delivery driver acceptance is accepted by the customer.
The delivery request application processor 26 may perform a match between a customer's purchases requiring delivery with a delivery driver to determine whether the driver accepting the delivery request is acceptable. The driver can be validated by determining whether deliver driver data in the database 28 satisfies a set of rule criteria and/or validated by the customer reviewing information on each driver participating in a bidding process.
At step 316, the delivery request application processor 26 directs a notification to the customer, or more specifically, a computer device 12, that the delivery request has been accepted. In some embodiments, the customer can review information on the driver accepting the delivery request such as a driver's driving experience, fees incurred by the driver, accidents and/or citations associated with the driver, and so on. At step 318, a driver may enter information, for example, including driver record information, etc. Driver and/or vehicle information may also be pulled from other sources.
At step 320, the delivery request database 18 may be updated with driver information provided by the delivery request application processor 26. A delivery driver may update information at any time.
As described herein, the delivery request application processor 26 may require information about an item, such as a height, length, width, weight of a large store item, e.g., a television set, refrigerator, and so on. This information may be required to determine whether a driver accepting a delivery request is acceptable, for example, whether the driver's vehicle can safely deliver a particular item purchased by a store customer. In doing so, the item must fit within the dimensions of the vehicle.
In some embodiments, a determination may be made by comparing vehicle information stored at the delivery driver database 28 and item information stored at the retail system server 22. The driver qualification processor 210 may execute this comparison, for example, triggered in response to the POS terminal 20 executing a transaction that includes the purchase of the item of interest. For example, the driver qualification processor 210 may cross-reference a size and weight of an item in a store item record file and the delivery driver database 28 and pair the result with the minimum requirements for delivery of the item.
In other embodiments, the vehicle information and/or item information may be not be available. As shown in
In some embodiments, data may be collected after the item is placed on the vehicle. For example, the smartphone 14 may generate a first image of the vehicle before the item 15 is placed inside it, and generate a second image of the vehicle after the item 15 is placed inside it. The driver qualification processor 210 can process the two images to determine an amount of compression of the truck, and determine whether an amount of compression or sag, for example, due to a decrease in depth of a surface of a vehicle, exceeds a predetermined threshold, for example, a 10% difference, and reject the request by the driver applicant if the determined decrease in depth exceeds the predetermined threshold.
In another example, a sensor may measure the revolutions per minute (RPMs) of the vehicle engine during operation, which may be used to determine an amount of power or force by the vehicle to move the item. Similarly, the driver qualification processor 210 can process “before” and “after” sensor measurements to determine whether an increase in RPMs or other power-related data exceeds a predetermined threshold, to determine whether to accept or reject the request by the driver applicant.
Aspects of the present invention are described below with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.
Any combination of one or more computer readable medium(s) may be utilized. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wire-line, optical fiber cable, radio frequency, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C++ or the like and conventional procedural programming languages, such as the “C” programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet Service Provider).
The foregoing and other features and advantages of the invention will be apparent to those of ordinary skill in the art from the following more particular description of the invention and the accompanying drawings.
A number of implementations have been described. Nevertheless, it will be understood that the foregoing description is intended to illustrate and not to limit the scope of the inventive concepts which are defined by the scope of the claims. Other examples are within the scope of the following claims.
This application claims the benefit of U.S. Provisional Patent No. 62/316,689, filed Apr. 1, 2016, the contents of which are incorporated herein in its entirety.
Number | Name | Date | Kind |
---|---|---|---|
4231439 | Hall, Jr. | Nov 1980 | A |
4605081 | Helmly, Jr. | Aug 1986 | A |
4839835 | Hagenbuch | Jun 1989 | A |
4845625 | Stannard | Jul 1989 | A |
4882475 | Miller | Nov 1989 | A |
5122959 | Nathanson | Jun 1992 | A |
6240362 | Gaspard, II | May 2001 | B1 |
6385537 | Gaspard, II | May 2002 | B2 |
6411897 | Gaspard, II | Jun 2002 | B1 |
6587831 | O'Brien | Jul 2003 | B1 |
6748366 | Hurwitz | Jun 2004 | B1 |
6806807 | Cayne et al. | Oct 2004 | B2 |
6823315 | Bucci | Nov 2004 | B1 |
6862572 | de Sylva | Mar 2005 | B1 |
6917924 | Ramsden | Jul 2005 | B1 |
6957188 | Dellevi | Oct 2005 | B1 |
6963861 | Boucher | Nov 2005 | B1 |
7113071 | Cayne et al. | Sep 2006 | B2 |
7251621 | Weng | Jul 2007 | B1 |
7257552 | Franco | Aug 2007 | B1 |
7385529 | Hersh | Jun 2008 | B2 |
7627422 | Adamczyk | Dec 2009 | B2 |
7765140 | Megiddo | Jul 2010 | B1 |
7773773 | Abercrombie | Aug 2010 | B2 |
7828202 | Bregman | Nov 2010 | B2 |
7840427 | O'Sullivan | Nov 2010 | B2 |
7844481 | Hilbush | Nov 2010 | B2 |
7895087 | Gottlieb | Feb 2011 | B1 |
7945469 | Cohen et al. | May 2011 | B2 |
7945470 | Cohen et al. | May 2011 | B1 |
8126903 | Lehmann | Feb 2012 | B2 |
8160972 | Tannenbaum | Apr 2012 | B1 |
8554694 | Ward et al. | Oct 2013 | B1 |
8787707 | Steves | Jul 2014 | B1 |
9009067 | Scotto | Apr 2015 | B1 |
9066206 | Lin et al. | Jun 2015 | B2 |
9202191 | Bowen et al. | Dec 2015 | B2 |
9230292 | Amin et al. | Jan 2016 | B2 |
9269103 | Kumar et al. | Feb 2016 | B1 |
9305310 | Radhakrishnan et al. | Apr 2016 | B2 |
9378479 | Seifen | Jun 2016 | B2 |
9459622 | Abhyanker | Oct 2016 | B2 |
9509617 | Malmgren | Nov 2016 | B1 |
9626639 | Gibbon | Apr 2017 | B2 |
9639908 | Reiss et al. | May 2017 | B1 |
9710779 | Maloney | Jul 2017 | B1 |
9718397 | Kalanick et al. | Aug 2017 | B2 |
9721224 | Waris et al. | Aug 2017 | B2 |
9741010 | Heinla | Aug 2017 | B1 |
9778057 | O'Mahony et al. | Oct 2017 | B2 |
9792574 | Lord et al. | Oct 2017 | B2 |
9805536 | Lutnick et al. | Oct 2017 | B2 |
9811838 | Daire et al. | Nov 2017 | B1 |
9852551 | Brinig et al. | Dec 2017 | B2 |
9902310 | Fournier et al. | Feb 2018 | B2 |
9904900 | Cao | Feb 2018 | B2 |
9928540 | Gerard et al. | Mar 2018 | B1 |
9934530 | Iacono et al. | Apr 2018 | B1 |
10133995 | Reiss | Nov 2018 | B1 |
10148918 | Seiger | Dec 2018 | B1 |
20010047285 | Borders | Nov 2001 | A1 |
20020087371 | Abendroth | Jul 2002 | A1 |
20020087377 | Rajasenan | Jul 2002 | A1 |
20020152128 | Walch | Oct 2002 | A1 |
20030040944 | Hileman | Feb 2003 | A1 |
20030046173 | Benjier et al. | Mar 2003 | A1 |
20030106932 | Malatesta | Jun 2003 | A1 |
20030220848 | Behrendt | Nov 2003 | A1 |
20030236739 | Borgeson | Dec 2003 | A1 |
20040034571 | Wood et al. | Feb 2004 | A1 |
20040073498 | Napier, Jr. et al. | Apr 2004 | A1 |
20040089482 | Ramsden | May 2004 | A1 |
20040210621 | Antonellis | Oct 2004 | A1 |
20050209913 | Wied | Sep 2005 | A1 |
20060010037 | Angert | Jan 2006 | A1 |
20060026030 | Jacobs | Feb 2006 | A1 |
20060059023 | Mashinsky | Mar 2006 | A1 |
20060109964 | Skelton | May 2006 | A1 |
20060224477 | Garcia | Oct 2006 | A1 |
20070192111 | Chasen | Aug 2007 | A1 |
20080040193 | Dion | Feb 2008 | A1 |
20080136676 | Yano | Jun 2008 | A1 |
20080319822 | LaJoie | Dec 2008 | A1 |
20090063222 | Doan | Mar 2009 | A1 |
20090216600 | Hill | Aug 2009 | A1 |
20090276267 | Padan | Nov 2009 | A1 |
20100100507 | Davidson et al. | Apr 2010 | A1 |
20110059693 | O'Sullivan | Mar 2011 | A1 |
20110301985 | Camp | Dec 2011 | A1 |
20120030133 | Rademaker | Feb 2012 | A1 |
20120078743 | Betancourt | Mar 2012 | A1 |
20120185404 | Koh | Jul 2012 | A1 |
20120271592 | Harres | Oct 2012 | A1 |
20130110346 | Huber | May 2013 | A1 |
20130144763 | Skyberg | Jun 2013 | A1 |
20130179362 | Rhyan | Jul 2013 | A1 |
20130218727 | Lutnick | Aug 2013 | A1 |
20130254085 | Tanimoto | Sep 2013 | A1 |
20130293539 | Hunt | Nov 2013 | A1 |
20130307964 | Bremer | Nov 2013 | A1 |
20140000969 | Carruthers | Jan 2014 | A1 |
20140025524 | Sims et al. | Jan 2014 | A1 |
20140058902 | Taylor et al. | Feb 2014 | A1 |
20140104416 | Giordano | Apr 2014 | A1 |
20140164126 | Nicholas | Jun 2014 | A1 |
20140188750 | Seiler | Jul 2014 | A1 |
20140236856 | Baykhurazov | Aug 2014 | A1 |
20140278634 | Horvitz et al. | Sep 2014 | A1 |
20140278635 | Fulton | Sep 2014 | A1 |
20140278851 | Kopanati | Sep 2014 | A1 |
20140278875 | Ganesh et al. | Sep 2014 | A1 |
20140304103 | Barton | Oct 2014 | A1 |
20140324633 | Pollak | Oct 2014 | A1 |
20140351265 | Beaurepaire | Nov 2014 | A1 |
20140379607 | Chousa | Dec 2014 | A1 |
20150025936 | Garel et al. | Jan 2015 | A1 |
20150039366 | Haque | Feb 2015 | A1 |
20150081581 | Gishen | Mar 2015 | A1 |
20150161563 | Mehrabi | Jun 2015 | A1 |
20150161564 | Sweeney et al. | Jun 2015 | A1 |
20150161697 | Jones | Jun 2015 | A1 |
20150193791 | Gao et al. | Jul 2015 | A1 |
20150199569 | Park | Jul 2015 | A1 |
20150199632 | Chander et al. | Jul 2015 | A1 |
20150206093 | Trew et al. | Jul 2015 | A1 |
20150206267 | Khanna et al. | Jul 2015 | A1 |
20150227890 | Bednarek et al. | Aug 2015 | A1 |
20150228004 | Bednarek | Aug 2015 | A1 |
20150242829 | Bhaskaran | Aug 2015 | A1 |
20150262121 | Riel-dalpe et al. | Sep 2015 | A1 |
20150310388 | Jamthe | Oct 2015 | A1 |
20150339625 | Agasti et al. | Nov 2015 | A1 |
20150347961 | Gillen | Dec 2015 | A1 |
20150347964 | Taylor | Dec 2015 | A1 |
20150348173 | Gillen | Dec 2015 | A1 |
20150363843 | Loppatto et al. | Dec 2015 | A1 |
20160012391 | Burnett | Jan 2016 | A1 |
20160019669 | Gopalakrishnan | Jan 2016 | A1 |
20160048804 | Paul et al. | Feb 2016 | A1 |
20160071056 | Ellison et al. | Mar 2016 | A1 |
20160078394 | Fuldner | Mar 2016 | A1 |
20160086128 | Geiger et al. | Mar 2016 | A1 |
20160189098 | Beaurepaire et al. | Mar 2016 | A1 |
20160104112 | Gorlin | Apr 2016 | A1 |
20160104113 | Gorlin | Apr 2016 | A1 |
20160155072 | Prodromidis et al. | Jun 2016 | A1 |
20160171439 | Ladden | Jun 2016 | A1 |
20160180287 | Chan | Jun 2016 | A1 |
20160195404 | Prasad et al. | Jul 2016 | A1 |
20160225115 | Levy et al. | Aug 2016 | A1 |
20160239789 | Hanks | Aug 2016 | A1 |
20160314429 | Gillen | Oct 2016 | A1 |
20160328678 | Gillen | Nov 2016 | A1 |
20160364678 | Cao | Dec 2016 | A1 |
20160364679 | Cao | Dec 2016 | A1 |
20160364812 | Cao | Dec 2016 | A1 |
20160364823 | Cao | Dec 2016 | A1 |
20160379167 | Raman | Dec 2016 | A1 |
20170032341 | Johnsrud | Feb 2017 | A1 |
20170083862 | Loubriel | Mar 2017 | A1 |
20170089710 | Slusar | Mar 2017 | A1 |
20170091891 | Van Der Berg | Mar 2017 | A1 |
20170124510 | Caterino et al. | May 2017 | A1 |
20170134661 | Chietein | May 2017 | A1 |
20170140326 | Rhyu | May 2017 | A1 |
20170286893 | Clark | Oct 2017 | A1 |
20170310770 | Samaan et al. | Oct 2017 | A1 |
20170351994 | Waris et al. | Dec 2017 | A1 |
20180096414 | Iacono et al. | Apr 2018 | A1 |
20180240067 | Oz | Aug 2018 | A1 |
Number | Date | Country |
---|---|---|
2487454 | Aug 2012 | EP |
2015059691 | Apr 2015 | WO |
2015187485 | Dec 2015 | WO |
Entry |
---|
User's Guide to Roadnet 5000—Routing & Scheduling System Version 5.6 United Parcel Service Company, Roadnet Technologies Inc., 1996 (Year: 1996). |
Shiply, Wikipedia.com, retrieved Jan. 8, 2019 (Year: 2019). |
UShip, Wikiepdia.com, retrieved Jan. 8, 2019 (Year: 2019). |
International Preliminary Report on Patentability in PCT/US2017/025260 dated Oct. 11, 2018; 9 pages. |
“EyeDeliver,” Mobile App, Revention.com, accessed on Feb. 23, 2016; 4 pages. |
“DR!VE Mobile Delivery,” Mobile App, Granburys.com, accessed on Feb. 23, 2017; 8 pages. |
Vieo-Cuong Cao “Design a mobile logistics solution utilizing modern Software and Services,” Bachelor thesis, Hochschule Darmstadt, Aug. 13, 2012; 67 pages. |
International Search Report and Written Opinion in International Patent Application No. PCT/US17/25260, dated Jun. 21, 2017; 10 pages. |
Office Action in Canadian Patent Application No. 3,015,542 dated Jul. 9, 2019; 5 pages. |
Number | Date | Country | |
---|---|---|---|
20170286893 A1 | Oct 2017 | US |
Number | Date | Country | |
---|---|---|---|
62316689 | Apr 2016 | US |