Using true value in routing work items to resources

Information

  • Patent Grant
  • 8000989
  • Patent Number
    8,000,989
  • Date Filed
    Wednesday, March 31, 2004
    20 years ago
  • Date Issued
    Tuesday, August 16, 2011
    12 years ago
Abstract
The present invention is directed to a contact center 100 comprising (a) an input operable to receive a contact from a customer, the customer having an associated value to the contact center 100 and (b) a contact selector 216 operable to select a resource of the contact center 100 to service the contact based, at least in part, on the associated value. The associated value reflects one or more of a historic, predicted, and current monetary expense of the contact center to service the customer.
Description
FIELD OF THE INVENTION

The present invention is directed generally to servicing a contactor in a contact center and specifically to routing or directing contacts to appropriate contact center resources.


BACKGROUND OF THE INVENTION

Contact centers, such as Automatic Contact Distribution or ACD systems, are employed by many enterprises to service customer contacts. A typical contact center includes a switch and/or server to receive and route incoming packet-switched and/or circuit-switched contacts to one or more resources, such as human agents and automated resources (e.g., Interactive Voice Response (IVR) units), to service the incoming contacts. Contact centers distribute contacts, whether inbound or outbound, for servicing to any suitable resource according to predefined criteria. In many existing systems, the criteria for servicing the contact from the moment that the contact center becomes aware of the contact until the contact is connected to an agent are customer-specifiable (i.e., programmable by the operator of the contact center), via a capability contacted contact vectoring. Normally in present-day ACDs when the ACD system's controller detects that an agent has become available to handle a contact, the controller identifies all predefined contact-handling skills of the agent (usually in some order of priority) and delivers to the agent the highest-priority oldest contact that matches the agent's highest-priority skill. Generally, the only condition that results in a contact not being delivered to an available agent is that there are no contacts waiting to be handled.


Most present-day contact-distribution algorithms focus on being “fair” to contacters and to agents. This fairness is reflected by the standard first-in, first-out contact to most-idle-agent assignment algorithm. Skills-based routing improves upon this basic algorithm in that it allows each agent to be slotted into a number of agent groups based on the agent's skill types and levels.


The primary objective of contact-distribution algorithms is to ultimately maximize contact center performance and profitability. That may involve minimizing cost, maximizing contact throughput, and/or maximizing revenue, among others. For example, when a new contact arrives, the contact should be handled by an agent who either has the ability to produce the most revenue or can handle the contact in the shortest amount of time. Also, when an agent becomes available to handle a new contact, the agent should handle either the contact that has the possibility of generating the most revenue or the contact which the agent is most efficient in handling.


Although current algorithms, including skills-based routing algorithms, attempt to determine and assign a value to a customer contacting the contact center to better service the customer, the value is typically associated with an estimate of gross revenue based on historical revenue realized from contact center interaction with the customer. The estimate of historical revenue, however, fails to reflect the true value of the customer to the contact center. For example, if a first customer uses low cost contact center resources and/or media to purchase a product he or she may be treated the same as or worse than a second customer who uses much higher cost contact center resource(s) or media to purchase a slightly higher value product. This disparity results from the fact that profit margin(s) associated with sales to the customer are not taken into account. If the contact center had a real sense of the value of a particular customer to the business serviced by the contact center and used that information to decide how to handle interactions with that customer, the contact center could maximize the efficiency and effectiveness of those interactions, thereby maximizing customer satisfaction and sales revenue to the business.


SUMMARY OF THE INVENTION

These and other needs are addressed by the various embodiments and configurations of the present invention. The present invention is directed generally to the use of a monetary cost or expense to determine a value of a customer and/or contact to a contact center and/or to the prediction of sales volume from a customer using historic sales volume information from this and other similar customers. “Value” can be implemented as a cost and/or revenue-generating metric depending on the application.


In one embodiment, the present invention is directed to a method for servicing a contact that includes the steps of:


(a) receiving a first contact from a first customer, the first customer and/or first contact having an associated first value to the contact center and


(b) selecting a resource of the contact center to service the first contact based, at least in part, on the first value.


The first value preferably reflects one or more of (i) a monetary expense of the contact center to service the first customer or first contact and (ii) a predicted sales volume that may be realized by the contact center from the first customer or first contact. The predicted sales volume can be based, at least in part, on a historic sales volume realized by the contact center from the first and/or a second, typically similar, customer.


A contact can be a real-time or non-real-time contact. A real-time contact refers to a contact in which the contacting entity or customer is present during the waiting (or queuing) period and can choose to abandon or disconnect the contact if the contact is not serviced within an acceptable period. Common examples include voice contacts, VoIP, text-chat, video contacts, and the like. A non-real-time contact refers to a contact in which the contacting entity or customer is unable to abandon or disconnect the contact. Common examples include e-mail, fax, electronic or paper documents, webform submissions, voice messages, and the like.


As will be appreciated, resource can be a human agent or automated resource, such as an IVR, web server, FAX-back application, voice messaging server, and the like.


The monetary expense can include fixed and/or variable, direct and/or indirect, overhead and/or operating costs. The monetary expense can be historic (or the cost to service a prior contact with the customer), predicted (or the predicted cost to service a future contact with the customer), and/or current (or the cost to service a current contact (waiting to be serviced by a selected resource or set of resource(s)) with the customer). The expense can be a contact expense, such as an expense of a resource or set of resources to service one or more selected contacts. The expenses include such items as agent salary and benefits, agent training costs, contact center operating, capital, and overhead costs, fixed and variable costs, contact media costs, cost of goods sold, cost of returns, cost of order processing, cost of shipping and sales costs.


The value can reflect historic customer sales (or the sales from prior contacts with the customer), predicted customer sales (or the predicted sales from one or more future contacts with the customer) and/or current customer sales (or the sales potentially realizable from a current contact (waiting to be serviced by a selected resource or set of resource(s))).


In one configuration, the value is a per contact value calculated based on the expected revenues from the current contact less the expected costs for the current contact less the average contact expense directly attributable to the customer making the contact. The expected revenues, expected costs, and average contact expense can be based on the sales/cost information of a set of similar customers, the current customer, and/or a combination thereof. The value can exclude expense items that are not caused by the customer, such as returns, service contacts, and the like. Typically, overhead or indirect expenses are excluded from expected costs and average contact expenses as they are not attributable directly to the customer.


In another configuration, the value is a customer value based on the expected revenues from the current customer less the expected costs for the current customer less the average contact expenses for the current customer. The expected revenues, expected costs, and average contact expenses can be based on a group of similarly situated customers, the customer, or a combination thereof. The value is not on a per-contact basis.


Compared to conventional contact centers, the present invention can provide a far more accurate measure of customer value than is currently in use. The use of a more accurate measure of customer value can provide higher levels of contact center efficiency, valued customer satisfaction, sales revenue, and profitability. The present invention uses already available accounting information to estimate the contact center expenses associated with servicing a customer. The value can be updated automatically with each customer interaction, combining the business result of the interaction with the interaction expense to be used to determine the routing of the next interaction with that customer.


These and other advantages will be apparent from the disclosure of the invention(s) contained herein.


The above-described embodiments and configurations are neither complete nor exhaustive. As will be appreciated, other embodiments of the invention are possible utilizing, alone or in combination, one or more of the features set forth above or described in detail below.





BRIEF DESCRIPTION OF THE DRAWINGS


FIG. 1 is a block diagram depicting a contact center according to an embodiment of the present invention;



FIG. 2 is a block diagram of a server according to an embodiment of the present invention;



FIG. 3 is a flow chart depicting an operational embodiment of the customer valuation agent; and



FIG. 4 is a flow chart depicting an operational embodiment of the contact selector; and



FIG. 5 is a flow chart depicting an operational embodiment of the contact selector.





DETAILED DESCRIPTION

The invention will be illustrated below in conjunction with an exemplary communication system. Although well suited for use with, e.g., a system having an ACD or other similar contact processing switch, the invention is not limited to use with any particular type of communication system switch or configuration of system elements. Those skilled in the art will recognize that the disclosed techniques may be used in any communication application in which it is desirable to provide improved contact processing.



FIG. 1 shows an illustrative embodiment of the present invention. A contact center 100 comprises a central server 110, a set of data stores or databases 114 containing contact or customer related information and other information that can enhance the value and efficiency of the contact processing, and a plurality of servers, namely a voice mail server 118, an Interactive Voice Response unit or IVR 122, and other servers 126, a switch 130, a plurality of working agents operating packet-switched (first) telecommunication devices 134-1 to N (such as computer work stations or personal computers), and/or circuit-switched (second) telecommunication devices 138-1 to M, all interconnected by a local area network LAN (or wide area network WAN) 142. The servers can be connected via optional communication lines 146 to the switch 130. As will be appreciated, the other servers 126 can also include a scanner (which is normally not connected to the switch 130 or Web server), VoIP software, video contact software, voice messaging software, an IP voice server, a fax server, a web server, and an email server) and the like. The switch 130 is connected via a plurality of trunks 150 to the Public Switch Telecommunication Network or PSTN 154 and via link(s) 152 to the second telecommunication devices 138-1 to M. A gateway 158 is positioned between the server 110 and the packet-switched network 162 to process communications passing between the server 110 and the network 162.


The term “switch” or “server” as used herein should be understood to include a PBX, an ACD, an enterprise switch, or other type of telecommunications system switch or server, as well as other types of processor-based communication control devices such as media servers, computers, adjuncts, etc.


Referring to FIG. 2, one possible configuration of the server 110 is depicted. The server 110 is in communication with a plurality of customer communication lines 200a-y (which can be one or more trunks, phone lines, etc.) and agent communication line 204 (which can be a voice-and-data transmission line such as LAN 142 and/or a circuit switched voice line 140). The server 110 can include a Basic Contact Management System (not shown) and a Contact Management System (not shown) that gathers contact records and contact-center statistics for use in generating contact-center reports.


The switch 130 and/or server 110 can be any architecture for directing contacts to one or more telecommunication devices. Illustratively, the switch and/or server can be a modified form of the subscriber-premises equipment disclosed in U.S. Pat. Nos. 6,192,122; 6,173,053; 6,163,607; 5,982,873; 5,905,793; 5,828,747; and 5,206,903, all of which are incorporated herein by this reference; Avaya Inc.'s Definity™ Private-Branch Exchange (PBX)-based ACD system; MultiVantage™ PBX, CRM Central 2000 Server™, Communication Manager™, and/or S8300™ media server and/or Avaya Interaction Center™. Typically, the switch/server is a stored-program-controlled system that conventionally includes interfaces to external communication links, a communications switching fabric, service circuits (e.g., tone generators, announcement circuits, etc.), memory for storing control programs and data, and a processor (i.e., a computer) for executing the stored control programs to control the interfaces and the fabric and to provide automatic contact-distribution functionality. The switch and/or server typically include a network interface card (not shown) to provide services to the serviced telecommunication devices. Other types of known switches and servers are well known in the art and therefore not described in detail herein.


Referring to FIG. 2, included among the data stored in the server 110 is a set of contact queues 208a-n and a separate set of agent queues 212a-n. Each contact queue 208a-n corresponds to a different set of agent skills, as does each agent queue 212a-n. Conventionally, contacts are prioritized and either are enqueued in individual ones of the contact queues 208a-n in their order of priority or are enqueued in different ones of a plurality of contact queues that correspond to a different priority. Likewise, each agent's skills are prioritized according to his or her level of expertise in that skill, and either agents are enqueued in individual ones of agent queues 212a-n in their order of expertise level or are enqueued in different ones of a plurality of agent queues 212a-n that correspond to a skill and each one of which corresponds to a different expertise level. Included among the control programs in the server 110 is a contact selector 216. Contacts incoming to the contact center are assigned by contact selector 216 to different contact queues 208a-n based upon a number of predetermined criteria, including customer identity, customer needs, contact center needs, current contact center queue lengths, customer value, and the agent skill that is required for the proper handling of the contact. Agents who are available for handling contacts are assigned to agent queues 212a-n based upon the skills that they possess. An agent may have multiple skills, and hence may be assigned to multiple agent queues 212a-n simultaneously. Furthermore, an agent may have different levels of skill expertise (e.g., skill levels 1-N in one configuration or merely primary skills and secondary skills in another configuration), and hence may be assigned to different agent queues 212a-n at different expertise levels.


Referring to FIG. 1, the gateway 158 can be Avaya Inc.'s, G700 Media Gateway™ and may be implemented as hardware such as via an adjunct processor (as shown) or as a chip in the server.


The first telecommunication devices 134-1, . . . 134-N are packet-switched and can include, for example, IP hardphones such as the Avaya Inc.'s, 4600 Series IP Phones™, IP softphones such as Avaya Inc.'s, IP Softphone™, Personal Digital Assistants or PDAs, Personal Computers or PCs, laptops, packet-based H.320 video phones and conferencing units, packet-based voice messaging and response units, and packet-based traditional computer telephony adjuncts.


The second telecommunication devices 138-1, . . . 138-M are circuit-switched. Each of the telecommunication devices 138-1, . . . 138-M corresponds to one of a set of internal extensions Ext1, . . . ExtM, respectively. These extensions are referred to herein as “internal” in that they are extensions within the premises that are directly serviced by the switch. More particularly, these extensions correspond to conventional telecommunication device endpoints serviced by the switch/server, and the switch/server can direct incoming contacts to and receive outgoing contacts from these extensions in a conventional manner. The second telecommunication devices can include, for example, wired and wireless telephones, PDAs, H.320 video phones and conferencing units, voice messaging and response units, and traditional computer telephony adjuncts.


It should be noted that the invention does not require any particular type of information transport medium between switch or server and first and second telecommunication devices, i.e., the invention may be implemented with any desired type of transport medium as well as combinations of different types of transport medium.


The packet-switched network 162 can be any data and/or distributed processing network, such as the Internet. The network 162 typically includes proxies (not shown), registrars (not shown), and routers (not shown) for managing packet flows.


The packet-switched network 162 is in communication with an external first telecommunication device 174 via a gateway 178, and the circuit-switched network 154 with an external second telecommunication device 180. These telecommunication devices are referred to as “external” in that they are not directly supported as telecommunication device endpoints by the switch or server. The telecommunication devices 174 and 180 are an example of devices more generally referred to herein as “external endpoints.”


In a preferred configuration, the server 110, network 162, and first telecommunication devices 134 are Session Initiation Protocol or SIP compatible and can include interfaces for various other protocols such as the Lightweight Directory Access Protocol or LDAP, H.248, H.323, Simple Mail Transfer Protocol or SMTP, IMAP4, ISDN, E1/T1, and analog line or trunk.


It should be emphasized that the configuration of the switch, server, user telecommunication devices, and other elements as shown in FIG. 1 is for purposes of illustration only and should not be construed as limiting the invention to any particular arrangement of elements.


As will be appreciated, the central server 110 is notified via LAN 142 of an incoming contact by the telecommunications component (e.g., switch 130, fax server, email server, web server, and/or other server) receiving the incoming contact. The incoming contact is held by the receiving telecommunications component until the contact selector 216 forwards instructions to the component to forward or route the contact to a specific contact center resource, such as the IVR unit 122, the voice mail server 118, and/or first or second telecommunication device 134, 138 associated with a selected agent. The server 110 distributes and connects these contacts to telecommunication devices of available agents based on the predetermined criteria noted above. When the central server 110 forwards a voice contact to an agent, the central server 110 also forwards customer-related information from databases 114 to the agent's computer work station for viewing (such as by a pop-up display) to permit the agent to better serve the customer. The agents process the contacts sent to them by the central server 110. This embodiment is particularly suited for a Customer Relationship Management (CRM) environment in which customers are permitted to use any media to contact a business. In a CRM environment, both real-time and non-real-time contacts must be handled and distributed with equal efficiency and effectiveness.


According to the invention, included among the programs executing on the server 110 is a valuation agent 220 and a contact selector 216. The agent 220 estimates a true value of a pending customer contact and typically updates this value after each contact with the customer is completed. The selector 216 uses predefined criteria, particularly contact value, in selecting an appropriate queue 208a-n and/or a priority or position in the queue at which to locate the contact until serviced by an agent and/or a specific agent to service the contact. The contact value can not only reflect historic revenue associated with the customer or potential revenue associated with the current and/or future contacts by the customer but also adjust the revenue to reflect fixed and/or variable costs associated with the servicing of the prior, current, and/or future revenue and/or non-revenue generating contact(s).


In a preferred configuration, the customer value is a measure of the net profit/loss realized from the customer over a selected period of time. As will be appreciated, the net profit/loss is the gross revenue or sales less the applicable costs. The measure is preferably determined using the following equation:

True value of current contact=expected revenues−expected costs−average expense directly attributed to the customer responsible for the contact.


The expected revenues for the customer responsible for the contact can be determined using any suitable technique. For example, the expected revenue can be based on a weighted average historical revenue for this transaction type for a set of customers and/or for all transaction types for this particular customer. The weighted average historical revenue for this transaction type can be based on revenue received from all customers, a set of similar customers, and/or only this customer. The transaction type can be defined narrowly or broadly depending on the application. The criteria defining sets of similar customers can vary by application but typically include historic revenue generation levels, socioeconomic status, geographic location, and the like. Typically, the weighted average historical revenue for this transaction type is used when the current customer is unknown (or has not yet established a sufficient transaction history with the contact center) while the weighted average historical revenue for all transaction types for this customer is used when the current customer is known (or has established a sufficient transaction history with the contact center). The expected revenues are typically divided by the number of revenue-generating contacts for a particular set of transaction types or all transaction types for this customer to express revenue on a per-contact basis.


The expected costs can be determined by any suitable technique. Typically, the expected costs are determined by a weighted average historical cost for this transaction type or all transaction types for this customer. The cost items or cost centers used in determining the weighted average historical cost can include direct and indirect costs, such as cost of goods sold, agent compensation based on length of time responding to the contact, returns, and distribution that are tracked for the business (and often broken down by department). These costs are associated with selling to and servicing a particular customer. Preferably, the overhead (or indirect) expenses (that are not attributable directly to a customer or contact), such as rent, equipment, and the like, are considered as a cost of doing business and are not included in the expected costs or average expense calculations. Typically, the expected costs for a set of transaction types is used when the current customer is unknown (or has not yet established a sufficient transaction history with the contact center) while the expected cost for all transaction types for this customer is used when the current customer is known (or has established a sufficient transaction history with the contact center).


The expected costs are typically expressed as a contact expense or on a per-contact basis. As used herein, “contact expense” refers to the fixed and/or variable overhead and operating expenses allocable to a selected contact and/or selected time interval of the servicing resource's time (e.g., minute). In a preferred embodiment, the contact expense is based on the number of revenue generating contacts for a particular set of transaction types and/or for all transaction types.


There are many techniques for determining the contact expense. The simplest and least accurate technique is for the contact expense to be the average or median contact expense for all contacts (whether sales or service-type contacts) serviced by all agents of the contact center by all media types (e.g., voice, email, instant messaging, web chat, voice messaging, FAX, IVR, and the like). The contact expense can be the average or median contact expense for a specific skill or for all contacts serviced by a specific set of resources and/or using a specific medic-type. The specific set of resources can be defined by skill, agent queue, expertise level, and/or media-type. The contact expense can be the average or median contact expense for a specific resource, such as a human agent, and reflect cost centers, such as the agent's salary, optionally allocable share of overhead, equipment cost, training costs, and the like. Overhead and other indirect costs are generally not considered in computing the value as they do not vary based on a customer's behavior. When considered, the overhead can be the overhead from the business as a whole, a department of the business, or only the contact center. It typically includes the capital and operating costs for the contact center, such as the capital cost of the software, hardware, and contact center space expense (e.g., rent). The average can be determined over a selected time period, such as 1-month, 6-months, one year, and the like. Typically, the contact expense is determined by dividing the allocable cumulative expenses for the selected resource or set of resource(s) (including out-of-service costs or expenses for periods when the resource is not servicing contacts) by the cumulative number of revenue-generating contacts serviced by the resource or set of resource(s) or cumulative time the resource actually services revenue-generating contacts (excluding out-of-service time).


The average expense directly attributed to this customer can also be determined by any suitable technique. This expense item is generally intended to reflect customer-specific expenses that are not otherwise considered in the expected expenses. Examples include marketing, general and administrative, sales and service, plant and equipment, research and development, the length of time that the customer ties up an agent, the expense of servicing this customer (e.g., the customer buys a large order and sends most of it back or spends hours on the phone talking to customer service to figure out how to use a product), etc. For unknown customers, this expense item may be omitted. This expense item can be omitted when necessary to avoid double inclusion of expenses. This may occur where the expected expenses are based solely on the current contacting customer's actual history. Typically, the average expense is determined by dividing the total expense directly attributable to the particular customer over a specified time period (such as X months) less adjustments by the number of revenue generating contacts over the last X months. The adjustments refer to expenses attributed to the customer that are not caused by the customer (e.g., product defects or recontacts). It is often undesirable for such expenses to adversely impact the contact's true value and thereby potentially cause the contact to be provided with a lesser degree of service. For known customers, the average expense is based on the customer's actual history while for unknown customers, the average expense is based on the average expense for a group of similar customers over a specified time period, such as X months.


The weighting approach used for the expected revenues, expected costs, and/or average contact expense can be based on any suitable algorithm. Preferably, the weighting algorithm weighs data from more recent events more heavily than data from less recent events. Weighting may also be used to weigh data for the current customer more heavily than data for similar customers.


In another embodiment, the true value is based not on a contact-by-contact basis but on a customer basis. In that embodiment, the current true value for each customer is determined by multiplying each of the number of contacts (or duration or each contact) from the customer over the selected time period by the corresponding contact expense(s) over that time period and subtracting the resulting expense from the adjusted gross sales revenue realized from the customer and/or a set of similar customers during that time period. The gross sales revenue can be adjusted by the profit margin(s) on the customer-purchased products. The general equation for determination of current true customer value is:

True Customer Value=total expected revenue realized from the current customer over specified time period−total expected costs for the customer over the specified time period−total contact expenses for the customer over the specified time period.


Unlike the true contact value of the previous embodiment, true customer value is not on a per-contact basis but is a gross figure for all contacts with the customer over a specified period.


A lifetime true value of a customer may be used, where the time period varies from customer-to-customer. For example, the true value of a first customer who has done business with the contact center for 5 years reflects the gross revenue realized from the customer over that 5-year period and the (annual) contact expense(s) during that 5-year period. The true value of a second customer who has done business with the contact center for only one year reflects the gross revenue realized from the customer over that year and the contact expense during that year. The revenue may be adjusted for inflation. Lifetime value can reflect factors such as demographics.


As will be appreciated, the true value of a customer may include other, less tangible factors that the business deems important. For example, the true value may reflect the customer's visibility in the marketplace, the customer's loyalty (or the length of time the customer has done business with the contact center), and/or the potential future value/sales revenue realizable from the customer. Including these factors into the measurement of true value would allow a business to weight the revenue side with any knowledge they might have of the customer's potential to the business. For example, a customer who has bought a lot in the past may be close to the “wallet” that he or she has available (or close to his or her spending limits), whereas a customer who is buying a small amount now may have a tremendous potential to grow.


The true value may also be adjusted to reflect expenses associated with the customer other than expenses specifically associated with a human agent. For example, the other non-agent expenses can include costs associated with catalog mailings, email messages to the customer, automated contacts to the customers, automated resources such as IVRs, trunks, and the like.


The true value of the customer or contact may not be based on historical sales information but also, or alternatively on, projections of future sales realizable from the customer. The potential value can be determined using demographic and/or socioeconomic information associated with the customer, the valuation agent 220 produces a profile of the customer. The profile typically includes predetermined indicia deemed to be predictive of future sales activity, including customer age, family size and family member ages, income, other financial information, such as savings, investments, and the like, employment status (self-employed, unemployed, or non-self-employed), location of residence, credit rating, outstanding loan balances, credit card information, past buying patterns, and the like. The profile is compared against profiles of other customers to produce a forecast of the potential types and/or volume of purchases from the customer. Depending upon the degree of the match, a confidence level can be associated with the prediction. The level of confidence can be used to weight or otherwise adjust the forecast. The forecast can be updated periodically as more information is gathered about the customer or other customers. The true value may be the sum of historical, current, and predicted future sales activities. The various revenue components may be weighted to reflect their relative importance or the level of confidence that the current or predicted future sales activity is accurate.


The operation of the valuation agent 220 is depicted in FIG. 3. In decision diamond 300, the agent 220 determines if a contact for a selected customer or any customer is completed. Decision diamond 300 is repeated until the selected customer or any customer contact is completed. When a contact is completed, the agent 220 in step 304 determines the result of the contact, the identity of the servicing resource(s) (e.g., agent identities), and the duration of the contact as a whole and/or of the portion of the contact serviced by each servicing resource. As will be appreciated, the “result” can refer to whether or not a sale was made and, if so, the identities of the products sold (e.g., product serial numbers, product identity codes, etc.), the values of the products sold, and/or the cumulative sales resulting from the contact or to whether or not product service was provided and, if so, the identities of the products serviced. In step 308, the agent 220 calculates the cumulative contact expense associated with each resource servicing part of the contact, multiplies the contact expense by the respective service duration of each resource, determines the cost of goods sold for the products sold to the customer, and the gross sales revenue from the transaction. From these variables, the true value of the current contact can be determined. In step 312, the true value of the customer is updated to reflect the true value of the current contact. Typically, this is done by adding the true value of the current contact to the current stored true value of the customer. The customer's profile is updated to reflect the revised true customer value. In decision diamond 316, the agent 220 determines if there is a next contact to monitor. Decision is revisited by the agent 220 until a next contact is identified. If a next contact is identified, the agent 220 returns to decision diamond 300.


The operation of the contact selector 216 is shown in FIGS. 4 and 5.


Referring to FIG. 4, the selector 216 in decision diamond 400 determines if a resource, such as a human agent, becomes available (hereinafter referred to as “agent”). Decision diamond 400 is repeated until such an agent is available. When an agent is available, the selector 216 proceeds to decision diamond 404, where the selector 216 determines if there are any work items, such as contacts, waiting to be serviced in the queue corresponding to the skill of the available agent. Decision diamond 404 is repeated until one or more work items is available to be serviced by the available agent. When one or more work items is available, the selector 216, in decision diamond 408, determines if there are multiple work items waiting to be serviced. If not, the available work item is assigned to the available resource in step 412. If so, the work item with the highest or best true value is selected to be serviced and the available resource is assigned to service the contact in step 416 provided other contact center criteria or policies are not violated by the assignment. The various work items can be tagged or linked to a corresponding true value when the work item is initially qualified and before it is enqueued. For example, if a customer/contact having a lower true value has been waiting in queue or is expected to wait in queue more than a selected time period, the lower true value customer/contact may be selected.


Referring to FIG. 5, a second operational embodiment of the selector 216 is depicted. The selector 216 in decision diamond 500 determines if a work item is available to be serviced. Decision diamond 500 is repeated until such a work item is available. When a work item is available, the selector 216, in step 504, receives from the valuation agent 220 the true value of the customer/contact. The true value of the customer/contact is assigned or linked to the work item in step 508. In step 512, the contact is qualified based on the true customer value, true contact value, reason for contacting, channel, media, language, time-of-day, day-of-week, and other predetermined criteria to determine the appropriate agent skill for the work item. In decision diamond 516, the selector 216 determines if one or more agents is available to service the work item. When an agent is not available, the selector 216, in step, selects the appropriate queue and queue position (or other parking location) for the work item. When an agent is available, the selector 216, in step 520, selects the most appropriate agent to service the work item. After performing either step 520 or 524, the selector 216 returns to decision diamond 500.


A number of variations and modifications of the invention can be used. It would be possible to provide for some features of the invention without providing others.


For example, the server and/or switch can be a software-controlled system including a processing unit (CPU), microprocessor, or other type of digital data processor executing software or an Application-Specific Integrated Circuit (ASIC) as well as various portions or combinations of such elements. The memory may be a random access memory (RAM), a read-only memory (ROM), or combinations of these and other types of electronic memory devices.


The present invention, in various embodiments, includes components, methods, processes, systems and/or apparatus substantially as depicted and described herein, including various embodiments, subcombinations, and subsets thereof. Those of skill in the art will understand how to make and use the present invention after understanding the present disclosure. The present invention, in various embodiments, includes providing devices and processes in the absence of items not depicted and/or described herein or in various embodiments hereof, including in the absence of such items as may have been used in previous devices or processes, e.g. for improving performance, achieving ease and\or reducing cost of implementation.


The foregoing discussion of the invention has been presented for purposes of illustration and description. The foregoing is not intended to limit the invention to the form or forms disclosed herein. In the foregoing Detailed Description for example, various features of the invention are grouped together in one or more embodiments for the purpose of streamlining the disclosure. This method of disclosure is not to be interpreted as reflecting an intention that the claimed invention requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the following claims are hereby incorporated into this Detailed Description, with each claim standing on its own as a separate preferred embodiment of the invention.


Moreover though the description of the invention has included description of one or more embodiments and certain variations and modifications, other variations and modifications are within the scope of the invention, e.g. as may be within the skill and knowledge of those in the art, after understanding the present disclosure. It is intended to obtain rights which include alternative embodiments to the extent permitted, including alternate, interchangeable and/or equivalent structures, functions, ranges or steps to those claimed, whether or not such alternate, interchangeable and/or equivalent structures, functions, ranges or steps are disclosed herein, and without intending to publicly dedicate any patentable subject matter.

Claims
  • 1. A method comprising: (a) receiving, in real time, by a computer, a first contact from a first customer, wherein at least one of the first customer and first contact has an associated first value to a contact center, wherein the associated first value reflects an income received by the contact center from the first customer or from a set of other similar customers for a contact type when no first customer history is known;(b) deriving the associated first value by calculating the following equation: first value=expected revenues−expected costs−average expense directly attributed to a customer responsible for a contact;wherein the expected revenues are based on a weighted average historical revenue for a contact type for a set of similar customers when the first customer is unknown, and a weighted average historical revenue for all contact types for the first customer when the first customer is known;wherein the expected costs are based on a weighted average historical cost for the contact type for the set of similar customers when the first customer is unknown, a weighted average historical cost for all contact types for the first customer when the first customer is known, predicted cost to service a future contact with the first customer, and current costs to service a current contact waiting to be serviced by a resource;wherein the average expense directly attributed to the customer responsible for the contact is based on customer specific expenses, which are not otherwise considered in the expected costs, and which are attributed to the customer but not caused by the customer;(c) selecting in real time, by the computer, (i) an available resource of the contact center to service the first contact and(ii) a service priority for the first contact, relative to contacts from other customers, based, at least in part, on the associated first value;(d) placing the first contact into a queue of contacts based, at least in part, on the selected service priority of the first contact relative to service priorities for the contacts from other customers in the queue, wherein the queue of contacts is ordered based on the selected service priorities; and(e) assigning, in real time, a contact, based on the order of the queue, to the selected available resource.
  • 2. The method of claim 1, wherein the predicted cost comprises a plurality of pro-rated compensation of one or more agents in servicing the at least one of the first and a second contact, pro rated benefits of one or more agents in servicing the at least one of the first and second contact, and a media dependent cost for a media type used by the at least one of the first and second contact.
  • 3. The method of claim 1, wherein the average expense comprises an agent salary and benefits of an agent servicing past contacts with the first customer, costs to train agents servicing the past contacts with the first customer, and contact media costs.
  • 4. The method of claim 2, wherein the predicted cost depends on a type of media used by the first contact and wherein different first and second communication media types are associated with different predicted costs.
  • 5. The method of claim 1, further comprising: comparing a first customer profile associated with the first customer with a second customer profile associated with a second customer to determine, based at least in part on the historic sales of the second customer, future sales projections of the first customer.
  • 6. The method of claim 1, wherein the first value is determined, at least in part, by dividing average expenses directly attributable to the first customer over a specified time period less revenue generated from contacts over the time period.
  • 7. A machine, comprising: a processor operable to: receive, in real time, by a computer, a first contact from a first customer, wherein at least one of the first customer and first contact has an associated first value to a contact center, wherein the associated first value reflects an income received by the contact center from the first customer or from a set of other similar customers for a contact type when no first customer history is known; andderive the associated first value by calculating the following equation: first value=expected revenues−expected costs−average expense directly attributed to a customer responsible for a contact; wherein the expected revenues are based on a weighted average historical revenue for a contact type for a set of similar customers when the first customer is unknown, and a weighted average historical revenue for all contact types for the first customer when the first customer is known;wherein the expected costs are based on a weighted average historical cost for the contact type for the set of similar customers when the first customer is unknown, a weighted average historical cost for all contact types for the first customer when the first customer is known, predicted cost to service a future contact with the first customer, and current costs to service a current contact waiting to be serviced by a resource:wherein the average expense directly attributed to the customer responsible for the contact is based on customer specific expenses, which are not otherwise considered in the expected costs, and which are attributed to the customer but not caused by the customer;select in real time, by the computer, at least one of an available resource of the contact center to service the first contact anda service priority for the first contact, relative to contacts from other customers, based, at least in part, on the associated first value;place the first contact into a queue of contacts based, at least in part, on the selected service priority of the first contact relative to service priorities for the contacts from other customers in the queue, wherein the queue of contacts is ordered based on the selected service priorities; andassign, in real time, a contact, based on the order of the queue, to the selected available resource.
  • 8. The machine of claim 7, wherein the predicted cost comprises a plurality of pro-rated compensation of one or more agents in servicing the at least one of the first and a second contact, pro rated benefits of one or more agents in servicing the at least one of the first and second contact, and a media dependent cost for a media type used by the at least one of the first and second contact, and wherein the first value reflects an income received by the contact center from the first customer and a set of other similar customers.
  • 9. The machine of claim 7, wherein the average expense is reduced by expenses attributable to the first customer for which the first customer is not responsible and wherein the average expense comprises one or more of agent salary and benefits of an agent servicing past contacts with the first customer, costs to train agents servicing the contacts with the first customer, and contact media costs.
  • 10. The machine of claim 7, wherein the first value reflects a first contact expense and wherein different first and second communication media types are associated with different predicted costs.
  • 11. The machine of claim 7, wherein a first predicted cost for a contact using a first communication medium is different from a second predicted cost for a contact using a second communication medium.
  • 12. The machine of claim 7, wherein the expected cost is determined by a historical cost comprising a cost of goods sold for a selected set of products.
  • 13. A computer program product comprising computer executable instructions encoded on a non-transitory computer readable medium, which, when executed by a computer, cause the computer to: receive, in real time, by the computer, a first contact from a first customer, wherein at least one of the first customer and first contact has an associated first value to a contact center, wherein the associated first value reflects an income received by the contact center from the first customer or from a set of other similar customers for a contact type when no first customer history is known; andderive the associated first value by calculating the following equation: first value=expected revenues−expected costs−average expense directly attributed to a customer responsible for a contact; wherein the expected revenues are based on a weighted average historical revenue for a contact type for a set of similar customers when the first customer is unknown, and a weighted average historical revenue for all contact types for the first customer when the first customer is known;wherein the expected costs are based on a weighted average historical cost for the contact type for the set of similar customers when the first customer is unknown, a weighted average historical cost for all contact types for the first customer when the first customer is known, predicted cost to service a future contact with the first customer, and current costs to service a current contact waiting to be serviced by a resource;wherein the average expense directly attributed to the customer responsible for the contact is based on customer specific expenses, which are not otherwise considered in the expected costs, and which are attributed to the customer but not caused by the customer;select in real time, by the computer, at least one of an available resource of the contact center to service the first contact anda service priority for the first contact, relative to contacts from other customers, based, at least in part, on the associated first value,place the first contact into a queue of contacts based, at least in part, on the selected service priority of the first contact relative to service priorities for the contacts from other customers in the queue, wherein the queue of contacts is ordered based on the selected service priorities; andassign, in real time, a contact, based on the order of the queue, to the selected available resource.
  • 14. The product of claim 13, wherein the average expense is reduced by expenses attributable to the first customer for which the first customer is not responsible and wherein the average expense comprises agent salary and benefits of an agent servicing past contacts with the first customer, costs to train agents servicing the contacts with the first customer, and contact media costs.
  • 15. The product of claim 13, wherein the predicted cost depends on a type of media used by the first contact, wherein the predicted cost is based on a monetary contact center expense, and wherein different first and second communication media types are associated with different predicted costs.
  • 16. The product of claim 13, further comprising: comparing a first customer profile associated with the first customer with a second customer profile associated with a second customer to determine, based at least in part on historic sales of the second customer, future sales projections of the first customer.
US Referenced Citations (389)
Number Name Date Kind
4163124 Jolissaint Jul 1979 A
4510351 Costello et al. Apr 1985 A
4567323 Lottes et al. Jan 1986 A
4737983 Frauenthal et al. Apr 1988 A
4797911 Szlam et al. Jan 1989 A
4894857 Szlam et al. Jan 1990 A
5001710 Gawrys et al. Mar 1991 A
5097528 Gursahaney et al. Mar 1992 A
5101425 Darland Mar 1992 A
5155761 Hammond Oct 1992 A
5164981 Mitchell et al. Nov 1992 A
5164983 Brown et al. Nov 1992 A
5167010 Elm et al. Nov 1992 A
5185780 Leggett Feb 1993 A
5206903 Kohler et al. Apr 1993 A
5210789 Jeffus et al. May 1993 A
5274700 Gechter et al. Dec 1993 A
5278898 Cambray et al. Jan 1994 A
5289368 Jordan et al. Feb 1994 A
5291550 Levy et al. Mar 1994 A
5299260 Shaio Mar 1994 A
5309513 Rose May 1994 A
5311422 Loftin et al. May 1994 A
5325292 Crockett Jun 1994 A
5335268 Kelly, Jr. et al. Aug 1994 A
5335269 Steinlicht Aug 1994 A
5390243 Casselman et al. Feb 1995 A
5436965 Grossman et al. Jul 1995 A
5444774 Friedes Aug 1995 A
5467391 Donaghue, Jr. et al. Nov 1995 A
5469503 Butensky et al. Nov 1995 A
5469504 Blaha Nov 1995 A
5473773 Aman et al. Dec 1995 A
5479497 Kovarik Dec 1995 A
5499291 Kepley Mar 1996 A
5500795 Powers et al. Mar 1996 A
5504894 Ferguson et al. Apr 1996 A
5506898 Costantini et al. Apr 1996 A
5530744 Charalambous et al. Jun 1996 A
5537470 Lee Jul 1996 A
5537542 Eilert et al. Jul 1996 A
5544232 Baker et al. Aug 1996 A
5546452 Andrews et al. Aug 1996 A
5555299 Maloney et al. Sep 1996 A
5577169 Prezioso Nov 1996 A
5592378 Cameron et al. Jan 1997 A
5592542 Honda et al. Jan 1997 A
5594726 Thompson et al. Jan 1997 A
5603029 Aman et al. Feb 1997 A
5604892 Nuttall et al. Feb 1997 A
5606361 Davidsohn et al. Feb 1997 A
5611076 Durflinger et al. Mar 1997 A
5627884 Williams et al. May 1997 A
5642515 Jones et al. Jun 1997 A
5673205 Brunson Sep 1997 A
5684872 Flockhart et al. Nov 1997 A
5684964 Powers et al. Nov 1997 A
5689698 Jones et al. Nov 1997 A
5703943 Otto Dec 1997 A
5713014 Durflinger et al. Jan 1998 A
5721770 Kohler Feb 1998 A
5724092 Davidsohn et al. Mar 1998 A
5740238 Flockhart et al. Apr 1998 A
5742675 Kilander et al. Apr 1998 A
5742763 Jones Apr 1998 A
5748468 Notenboom et al. May 1998 A
5749079 Yong et al. May 1998 A
5751707 Voit et al. May 1998 A
5752027 Familiar May 1998 A
5754639 Flockhart et al. May 1998 A
5754776 Hales et al. May 1998 A
5754841 Carino, Jr. May 1998 A
5757904 Anderson May 1998 A
5781614 Brunson Jul 1998 A
5784452 Carney Jul 1998 A
5787410 McMahon Jul 1998 A
5790642 Taylor et al. Aug 1998 A
5790650 Dunn et al. Aug 1998 A
5790677 Fox et al. Aug 1998 A
5794250 Carino, Jr. et al. Aug 1998 A
5796393 MacNaughton et al. Aug 1998 A
5802282 Hales et al. Sep 1998 A
5802510 Jones Sep 1998 A
5818907 Maloney et al. Oct 1998 A
5819084 Shapiro et al. Oct 1998 A
5825869 Brooks et al. Oct 1998 A
5826039 Jones Oct 1998 A
5828747 Fisher et al. Oct 1998 A
5836011 Hambrick et al. Nov 1998 A
5838968 Culbert Nov 1998 A
5839117 Cameron et al. Nov 1998 A
5864874 Shapiro Jan 1999 A
5875437 Atkins Feb 1999 A
5880720 Iwafune et al. Mar 1999 A
5881238 Aman et al. Mar 1999 A
5884032 Bateman et al. Mar 1999 A
5889956 Hauser et al. Mar 1999 A
5897622 Blinn et al. Apr 1999 A
5903641 Tonisson May 1999 A
5903877 Berkowitz et al. May 1999 A
5905793 Flockhart et al. May 1999 A
5909669 Havens Jun 1999 A
5911134 Castonguay et al. Jun 1999 A
5914951 Bentley et al. Jun 1999 A
5915012 Miloslavsky Jun 1999 A
5923745 Hurd Jul 1999 A
5926538 Deryugin et al. Jul 1999 A
5930786 Carino, Jr. et al. Jul 1999 A
5937051 Hurd et al. Aug 1999 A
5937402 Pandit Aug 1999 A
5940496 Gisby et al. Aug 1999 A
5943416 Gisby Aug 1999 A
5948065 Eilert et al. Sep 1999 A
5960073 Kikinis et al. Sep 1999 A
5963635 Szlam et al. Oct 1999 A
5963911 Walker et al. Oct 1999 A
5970132 Brady Oct 1999 A
5974135 Breneman et al. Oct 1999 A
5974462 Aman et al. Oct 1999 A
5982873 Flockhart et al. Nov 1999 A
5987117 McNeil et al. Nov 1999 A
5991392 Miloslavsky Nov 1999 A
5996013 Delp et al. Nov 1999 A
5999963 Bruno et al. Dec 1999 A
6000832 Franklin et al. Dec 1999 A
6011844 Uppaluru et al. Jan 2000 A
6014437 Acker et al. Jan 2000 A
6031896 Gardell et al. Feb 2000 A
6038293 Mcnerney et al. Mar 2000 A
6038296 Brunson et al. Mar 2000 A
6044144 Becker et al. Mar 2000 A
6044205 Reed et al. Mar 2000 A
6044355 Crockett et al. Mar 2000 A
6049547 Fisher et al. Apr 2000 A
6049779 Berkson Apr 2000 A
6052723 Ginn Apr 2000 A
6055308 Miloslavsky et al. Apr 2000 A
6064730 Ginsberg May 2000 A
6064731 Flockhart et al. May 2000 A
6084954 Harless et al. Jul 2000 A
6088441 Flockhart et al. Jul 2000 A
6108670 Weida et al. Aug 2000 A
6115462 Servi et al. Sep 2000 A
6128304 Gardell et al. Oct 2000 A
6151571 Pertrushin Nov 2000 A
6154769 Cherkasova et al. Nov 2000 A
6163607 Bogart et al. Dec 2000 A
6173053 Bogart et al. Jan 2001 B1
6175564 Miloslavsky et al. Jan 2001 B1
6178441 Elnozahy Jan 2001 B1
6185292 Miloslavsky Feb 2001 B1
6185603 Henderson et al. Feb 2001 B1
6192122 Flockhart et al. Feb 2001 B1
6215865 McCalmont Apr 2001 B1
6226377 Donaghue, Jr. May 2001 B1
6229819 Darland et al. May 2001 B1
6230183 Yocom et al. May 2001 B1
6233333 Dezonmo May 2001 B1
6240417 Eastwick May 2001 B1
6259969 Tackett et al. Jul 2001 B1
6263359 Fong et al. Jul 2001 B1
6272544 Mullen Aug 2001 B1
6275806 Pertrushin Aug 2001 B1
6275812 Haq et al. Aug 2001 B1
6275991 Erlin Aug 2001 B1
6278777 Morley et al. Aug 2001 B1
6292550 Burritt Sep 2001 B1
6295353 Flockhart et al. Sep 2001 B1
6298062 Gardell et al. Oct 2001 B1
6307931 Vaudreuil Oct 2001 B1
6324282 McIllwaine et al. Nov 2001 B1
6332081 Do Dec 2001 B1
6339754 Flanagan et al. Jan 2002 B1
6353810 Petrushin Mar 2002 B1
6356632 Foster et al. Mar 2002 B1
6360222 Quinn Mar 2002 B1
6366666 Bengtson et al. Apr 2002 B2
6366668 Borst et al. Apr 2002 B1
6389028 Bondarenko et al. May 2002 B1
6389132 Price et al. May 2002 B1
6389400 Bushey et al. May 2002 B1
6408066 Andruska et al. Jun 2002 B1
6408277 Nelken Jun 2002 B1
6411682 Fuller et al. Jun 2002 B1
6424709 Doyle et al. Jul 2002 B1
6426950 Mistry Jul 2002 B1
6427137 Petrushin Jul 2002 B2
6430282 Bannister et al. Aug 2002 B1
6434230 Gabriel Aug 2002 B1
6446092 Sutter Sep 2002 B1
6449356 Dezonno Sep 2002 B1
6449358 Anisimov et al. Sep 2002 B1
6449646 Sikora et al. Sep 2002 B1
6453038 McFarlane et al. Sep 2002 B1
6463148 Brady Oct 2002 B1
6463346 Flockhart et al. Oct 2002 B1
6463415 St. John Oct 2002 B2
6463471 Dreke et al. Oct 2002 B1
6480826 Pertrushin Nov 2002 B2
6490350 McDuff et al. Dec 2002 B2
6535600 Fisher et al. Mar 2003 B1
6535601 Flockhart et al. Mar 2003 B1
6553114 Fisher et al. Apr 2003 B1
6556974 D'Alessandro Apr 2003 B1
6560330 Gabriel May 2003 B2
6560649 Mullen et al. May 2003 B1
6560707 Curtis et al. May 2003 B2
6563920 Flockhart et al. May 2003 B1
6563921 Williams et al. May 2003 B1
6571285 Groath et al. May 2003 B1
6574599 Lim et al. Jun 2003 B1
6574605 Sanders et al. Jun 2003 B1
6597685 Miloslavsky et al. Jul 2003 B2
6603854 Judkins et al. Aug 2003 B1
6604084 Powers et al. Aug 2003 B1
6614903 Flockhart et al. Sep 2003 B1
6650748 Edwards et al. Nov 2003 B1
6662188 Rasmussen et al. Dec 2003 B1
6668167 McDowell et al. Dec 2003 B2
6675168 Shapiro et al. Jan 2004 B2
6684192 Honarvar et al. Jan 2004 B2
6700967 Kleinoder et al. Mar 2004 B2
6704409 Dilip et al. Mar 2004 B1
6707903 Burok et al. Mar 2004 B2
6711253 Prabhaker Mar 2004 B1
6724885 Deutsch et al. Apr 2004 B1
6735299 Krimstock et al. May 2004 B2
6735593 Williams May 2004 B1
6738462 Brunson May 2004 B1
6744877 Edwards Jun 2004 B1
6754333 Flockhart et al. Jun 2004 B1
6757362 Cooper et al. Jun 2004 B1
6766326 Cena Jul 2004 B1
6775377 McIllwaine et al. Aug 2004 B2
6785666 Nareddy et al. Aug 2004 B1
6822945 Petrovykh Nov 2004 B2
6829348 Schroeder et al. Dec 2004 B1
6839735 Wong et al. Jan 2005 B2
6842503 Wildfeuer Jan 2005 B1
6847973 Griffin et al. Jan 2005 B2
6898190 Shtivelman et al. May 2005 B2
6915305 Subramanian et al. Jul 2005 B2
6947988 Saleh Sep 2005 B1
6963826 Hanaman et al. Nov 2005 B2
6968052 Wullert, II Nov 2005 B2
6981061 Sakakura Dec 2005 B1
6985901 Sachse et al. Jan 2006 B1
6988126 Wilcock et al. Jan 2006 B2
7010542 Trappen et al. Mar 2006 B2
7020254 Phillips Mar 2006 B2
7035808 Ford Apr 2006 B1
7035927 Flockhart et al. Apr 2006 B2
7039176 Borodow et al. May 2006 B2
7054434 Rodenbusch et al. May 2006 B2
7062031 Becerra et al. Jun 2006 B2
7076051 Brown et al. Jul 2006 B2
7100200 Pope et al. Aug 2006 B2
7103562 Kosiba et al. Sep 2006 B2
7110525 Heller et al. Sep 2006 B1
7117193 Basko et al. Oct 2006 B1
7127058 O'Connor et al. Oct 2006 B2
7136873 Smith et al. Nov 2006 B2
7149733 Lin et al. Dec 2006 B2
7155612 Licis Dec 2006 B2
7162469 Anonsen et al. Jan 2007 B2
7165075 Harter et al. Jan 2007 B2
7170976 Keagy Jan 2007 B1
7170992 Knott et al. Jan 2007 B2
7177401 Mundra et al. Feb 2007 B2
7200219 Edwards et al. Apr 2007 B1
7212625 McKenna et al. May 2007 B1
7215744 Scherer May 2007 B2
7246371 Diacakis et al. Jul 2007 B2
7257513 Lilly Aug 2007 B2
7257597 Pryce et al. Aug 2007 B1
7266508 Owen et al. Sep 2007 B1
7283805 Agrawal Oct 2007 B2
7299259 Petrovykh Nov 2007 B2
7324954 Calderaro et al. Jan 2008 B2
7340408 Drew et al. Mar 2008 B1
7373341 Polo-Malouvier May 2008 B2
7376127 Hepworth et al. May 2008 B2
7386100 Michaelis Jun 2008 B2
7392402 Suzuki Jun 2008 B2
7418093 Knott et al. Aug 2008 B2
7499844 Whitman, Jr. Mar 2009 B2
7545925 Williams Jun 2009 B2
7885209 Michaelis et al. Feb 2011 B1
20010011228 Shenkman Aug 2001 A1
20010034628 Eder Oct 2001 A1
20010056349 St. John Dec 2001 A1
20010056367 Herbert et al. Dec 2001 A1
20020002460 Pertrushin Jan 2002 A1
20020002464 Petrushin Jan 2002 A1
20020010587 Pertrushin Jan 2002 A1
20020019829 Shapiro Feb 2002 A1
20020021307 Glenn et al. Feb 2002 A1
20020035605 McDowell et al. Mar 2002 A1
20020038422 Suwamoto et al. Mar 2002 A1
20020065894 Dalal et al. May 2002 A1
20020076010 Sahai Jun 2002 A1
20020085701 Parsons et al. Jul 2002 A1
20020087630 Wu Jul 2002 A1
20020112186 Ford et al. Aug 2002 A1
20020116336 Diacakis et al. Aug 2002 A1
20020116461 Diacakis et al. Aug 2002 A1
20020118816 Flockhart et al. Aug 2002 A1
20020123923 Manganaris et al. Sep 2002 A1
20020147730 Kohno Oct 2002 A1
20020181692 Flockhart et al. Dec 2002 A1
20020194002 Petrushin Dec 2002 A1
20020194096 Falcone et al. Dec 2002 A1
20030004704 Baron Jan 2003 A1
20030014491 Horvitz et al. Jan 2003 A1
20030028621 Furlong et al. Feb 2003 A1
20030073440 Mukherjee et al. Apr 2003 A1
20030093465 Banerjee et al. May 2003 A1
20030108186 Brown et al. Jun 2003 A1
20030123642 Alvarado et al. Jul 2003 A1
20030144900 Whitmer Jul 2003 A1
20030144959 Makita Jul 2003 A1
20030152212 Burok et al. Aug 2003 A1
20030174830 Boyer et al. Sep 2003 A1
20030177017 Boyer et al. Sep 2003 A1
20030231757 Harkreader et al. Dec 2003 A1
20040008828 Coles et al. Jan 2004 A1
20040015496 Anonsen Jan 2004 A1
20040015506 Anonsen et al. Jan 2004 A1
20040054743 McPartlan et al. Mar 2004 A1
20040057569 Busey et al. Mar 2004 A1
20040102940 Lendermann et al. May 2004 A1
20040103324 Band May 2004 A1
20040138944 Whitacre et al. Jul 2004 A1
20040162998 Tuomi et al. Aug 2004 A1
20040193646 Cuckson et al. Sep 2004 A1
20040202308 Baggenstoss et al. Oct 2004 A1
20040202309 Baggenstoss et al. Oct 2004 A1
20040203878 Thomson Oct 2004 A1
20040210475 Starnes et al. Oct 2004 A1
20040240659 Gagle et al. Dec 2004 A1
20040249650 Freedman et al. Dec 2004 A1
20040260706 Anonsen et al. Dec 2004 A1
20050021529 Hodson et al. Jan 2005 A1
20050027612 Walker et al. Feb 2005 A1
20050043986 McConnell et al. Feb 2005 A1
20050044375 Paatero et al. Feb 2005 A1
20050047578 Knott et al. Mar 2005 A1
20050049911 Engelking et al. Mar 2005 A1
20050065837 Kosiba et al. Mar 2005 A1
20050071211 Flockhart et al. Mar 2005 A1
20050071212 Flockhart et al. Mar 2005 A1
20050071241 Flockhart et al. Mar 2005 A1
20050071844 Flockhart et al. Mar 2005 A1
20050091071 Lee Apr 2005 A1
20050125432 Lin et al. Jun 2005 A1
20050125458 Sutherland et al. Jun 2005 A1
20050138064 Trappen et al. Jun 2005 A1
20050154708 Sun Jul 2005 A1
20050182784 Trappen et al. Aug 2005 A1
20050228707 Hendrickson Oct 2005 A1
20050261035 Groskreutz et al. Nov 2005 A1
20050283393 White et al. Dec 2005 A1
20050289446 Moncsko et al. Dec 2005 A1
20060004686 Molnar et al. Jan 2006 A1
20060007916 Jones et al. Jan 2006 A1
20060015388 Flockhart et al. Jan 2006 A1
20060026049 Joseph et al. Feb 2006 A1
20060056598 Brandt et al. Mar 2006 A1
20060058049 McLaughlin et al. Mar 2006 A1
20060100973 McMaster et al. May 2006 A1
20060135058 Karabinis Jun 2006 A1
20060167667 Maturana et al. Jul 2006 A1
20060178994 Stolfo et al. Aug 2006 A1
20060242160 Kanchwalla et al. Oct 2006 A1
20060256957 Fain et al. Nov 2006 A1
20060271418 Hackbarth, et al. Nov 2006 A1
20060285648 Wahl et al. Dec 2006 A1
20070038632 Engstrom Feb 2007 A1
20070064912 Kagan et al. Mar 2007 A1
20070083572 Bland et al. Apr 2007 A1
20070112953 Barnett May 2007 A1
20070121892 Knott et al. May 2007 A1
20070127643 Keagy Jun 2007 A1
20070156375 Meier et al. Jul 2007 A1
20070192414 Chen et al. Aug 2007 A1
20070201311 Olson Aug 2007 A1
20070201674 Annadata et al. Aug 2007 A1
20070230681 Boyer et al. Oct 2007 A1
20080056165 Petrovykh Mar 2008 A1
Foreign Referenced Citations (33)
Number Date Country
2143198 Jan 1995 CA
2174762 Jun 1995 CA
0 501 189 Sep 1992 EP
0576205 Dec 1993 EP
0 740 450 Oct 1996 EP
0 772 335 May 1997 EP
0770967 May 1997 EP
0 829 996 Mar 1998 EP
0 855 826 Jul 1998 EP
0 863 651 Sep 1998 EP
0 866 407 Sep 1998 EP
899673 Mar 1999 EP
998108 May 2000 EP
1035718 Sep 2000 EP
1091307 Apr 2001 EP
1150236 Oct 2001 EP
1761078 Mar 2007 EP
2 273 418 Jun 1994 GB
2 290 192 Dec 1995 GB
07-007573 Jan 1995 JP
2001-053843 Feb 2001 JP
2002-032977 Jan 2002 JP
2002-304313 Oct 2002 JP
2006-054864 Feb 2006 JP
WO 9607141 Mar 1996 WO
WO 9728635 Aug 1997 WO
WO 9856207 Dec 1998 WO
WO 9917522 Apr 1999 WO
WO 0026804 May 2000 WO
WO 0026816 May 2000 WO
WO 0180094 Oct 2001 WO
WO 02099640 Dec 2002 WO
WO 03015425 Feb 2003 WO