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|United States Patent Application
March 23, 2006
Call center services system and method
A method and system for providing automated call center services,
operating by identifying a caller, accessing the caller's account
information, determining the likely reason for the call, identifying an
agent skill group based on the likely reason for the call, and providing
an available agent with access to the caller's account information,
together with a script based on the likely reason for the call. Data and
voice access to agents is combined with specialized methods and systems
for determining agent optimization capabilities, thereby allowing
multiple call centers located in geographically different areas to
operate as a seamless virtual call center, having the capability to
dynamically reorganize the structure of available agents, regardless of
where located. Real time statistics allow determination of how many
agents should be available and what skill sets those agents should have,
thereby facilitating management decisions.
Pickford; Dale; (Wellington, FL)
ARENT FOX PLLC
1050 CONNECTICUT AVENUE, N.W.
June 1, 2005|
|Current U.S. Class:
|Class at Publication:
||H04M 3/00 20060101 H04M003/00; H04M 5/00 20060101 H04M005/00|
1. A method for providing automated call distribution services, the method
comprising: receiving an incoming call; identifying a caller making the
call; determining the likely reason for the call; and selecting an agent
skill group based on the likely reason for the call.
2. The method of claim 1, wherein the method is implemented via a network.
3. The method of claim 2, wherein the network is the Internet.
4. The method of claim 1, wherein the method is implemented via voice and
data communication lines.
5. The method of claim 1, further comprising: if an agent from the skill
group is available, providing the agent with access to the caller's
account information and a script based on the likely reason for the call.
6. The method of claim 1, further comprising: updating the caller's
7. The method of claim 1, further comprising: if an agent from the skill
group is not available, providing the caller with an automated script
based on the likely reason for the call.
8. The method of claim 1, wherein the caller is identified by the caller's
9. The method of claim 1, wherein the caller is identified via data
received from the caller.
10. The method of claim 1, further comprising: capturing the agent's
actions for training and evaluation purposes.
11. The method of claim 1, further comprising: providing forecasts to
determine the number of expected incoming calls; and determining the
number of agents necessary to support the predicted number of calls.
12. The method of claim 1, further comprising: collecting information
about the incoming call; and providing statistical reports.
13. A method for providing automated call distribution services, the
method comprising: receiving an incoming call; identifying the caller
making the call; accessing the caller account information based on the
identification; determining the likely reason for the call based on
recent caller account activity; selecting an appropriate agent skill
group; routing the call to an available agent of the selected skill
group; providing the available agent with access to the caller account
information; providing the available agent with a script based on the
likely reason for the call; and updating the caller's account information
based on interaction between the caller and the agent.
14. The method of claim 13, further comprising: providing the caller with
an automated script based on the likely reason for the call, if an agent
from the selected skill group is not available.
15. A method for providing automated call distribution services, the
method comprising: forecasting a number of expected inbound calls;
determining a number of agents to support the forecasted inbound calls;
creating schedules for the determined number of agents; and tracking the
performance of each agent.
16. The method of claim 15, further comprising: adjusting the number of
agents based on the actual performance.
17. A method for optimizing automated call center distribution services,
the method comprising: selecting a list of customers to be contacted;
identifying an appropriate agent skill set to contact the customers on
the list; identifying a number of agents with the skill set to contact
the customers on the list; forecasting a best time to initiate contact
with a customer on the list; and forecasting a best dial sequence for
initiating contact with the customer on the list.
18. The method of claim 17, further comprising: providing a prompt to the
agent based on the reason for contacting the customer.
19. A system for providing automated call distribution services, the
system comprising: means for receiving an incoming call; means for
identifying a caller making the call; means for determining the likely
reason for the call; and means for selecting an agent skill group based
on the likely reason for the call.
20. A system for providing automated call distribution services, the
system comprising: means for forecasting a number of expected inbound
calls; means for determining a number of agents to support the forecasted
inbound calls; means for creating schedules for the required number of
agents; and means for tracking agents' actual performance.
21. A system for optimizing automated call center distribution services,
the system comprising: means for selecting a list of customers to be
contacted; means for identifying an appropriate agent skill set to
contact the customers on the list; means for identifying a number of
agents with the skill set to contact the customers on the list; means for
forecasting a best time to initiate contact with a customer on the list;
and means for forecasting a best dial sequence for initiating contact
with the customer on the list.
22. A computer program product comprising a computer usable medium having
control logic stored therein for causing a computer to provide automated
call distribution services, the control logic comprising: first computer
readable program code means for receiving an incoming call; second
computer readable program code means for identifying a caller making the
call; third computer readable program code means for determining the
likely reason for the call; and fourth computer readable program code
means for selecting an agent skill group based on the likely reason for
23. A computer program product comprising a computer usable medium having
control logic stored therein for causing a computer to provide automated
call distribution services, the control logic comprising: first computer
readable program code means for forecasting a number of expected inbound
calls; second computer readable program code means for determining a
number of agents to support the forecasted inbound calls; third computer
readable program code means for creating schedules for the required
number of agents; and fourth computer readable program code means for
tracking agents' actual performance.
24. A computer program product comprising a computer usable medium having
control logic stored therein for causing a computer to optimize automated
call distribution services, the control logic comprising: first computer
readable program code means for selecting a list of customers to be
contacted; second computer readable program code means for identifying an
appropriate agent skill set to contact the customers on the list; third
computer readable program code means for identifying a number of agents
with the skill set to contact the customers on the list; fourth computer
readable program code means for forecasting a best time to initiate
contact with a customer on the list; and fifth computer readable program
code means for forecasting a best dial sequence for initiating contact
with the customer on the list.
 This application claims priority to applicants' copending U.S.
Provisional Application Ser. No. 60/611,717 titled "CALL CENTER SERVICES
SYSTEM AND METHOD" filed on Sep. 22, 2004. The entirety of this
provisional application is incorporated herein by reference.
BACKGROUND OF THE INVENTION
 1. Field of the Invention
 The present invention relates to a method and system for providing
call center distribution services.
 2. Background of the Related Art
 It is known in the telecommunications arts that automatic call
distribution systems ("ACDs") are specialized types of telephone systems
used in incoming call centers. A conventional ACD automatically answers
incoming calls, places the calls in queues, provides information to
callers based on software-implemented database handling instructions,
routes callers to agents, and provides real-time, status and historical
reports, which may be used for management and maintenance of call
handling, call duration and call resources, as well as for training
 In a traditional ACD environment, telephone calls are routed to
multiple, geographically distributed ACDs, typically via use of a
software routing program. The software directs the telephone network to
send the call to a particular ACD agent skill group. Based on agent
availability, status, and other factors, the ACD decides which agent
within the group will receive the call.
 An important feature of ACDs used in financial services
organizations, such as banks, where many calls are received and handled
by a plurality of agents, is the ability to have customer records
displayed on an agent's terminal, simultaneously with the agent's
responding to a call from the customer in question. The ACD transmits a
customer identifier to a customer records database, which, in turn,
displays the respective records on the selected agent's terminal at the
time the call is transferred. It is increasingly difficult, therefore, in
a distributed environment, in which callers, agents and/or supervisors
are located in geographically different areas of the world, or in which
calls are received over different networks, to accomplish all of the
features of a conventional ACD, while still appearing to callers as a
single seamless virtual entity.
 There is thus a need for methods and systems to allow multiple
ACDs, particularly when located in geographically different areas of the
world, to operate as a single seamless virtual call center.
 There is a further need for ACDs having the capability to
dynamically reorganize the virtual organization of available individuals
(interchangeably referred to herein as "agents"), so that those having
the most relevant skill sets appropriate to respond to a call or query
may be quickly and easily identified and accessed anywhere in the world,
regardless of time of day.
 There is a further need for methods and systems to allow such ACDs
to utilize largely unskilled labor forces, yet to operate as effectively
as the most experienced skilled workers within such centers.
 There is a further need for methods and systems that allow such
ACDs to intelligently respond to a caller's needs, by identifying a most
relevant script set that may be related to the purpose of the call, and
providing the script set to the agent as the call is put through.
 There is a further need for methods and systems that allow
optimization of integrated voice and data communications with expert
knowledge in a seamless virtual ACD operation, while at the same time
allowing easy integration with existing legacy call center platforms and
networks, so as to allow a smooth migration to an Internet Protocol
 There is yet a further need to provide such methods and systems in
a manner that dramatically reduces the costs of operation over
conventional methods and systems.
SUMMARY OF THE INVENTION
 The present invention solves the above identified needs, as well as
others, by providing a method and system for multiple ACDs to operate as
a seamless virtual call center by identifying agents worldwide,
determining the availability status of each of the agents and each
available agent's skill sets, determining the purpose and needs of a
caller, matching the caller to the best available agent for the caller's
purpose and needs, and identifying and providing to the agent the most
relevant script set related to the caller's purpose and needs.
 The present invention identifies agents by seamlessly joining the
hardware and software for management of any number of locations
containing agents via a central site or sites, such as a central server.
In one embodiment, the seamless joining of the locations occurs for data
and voice, the voice communication occurring via a telephonic system
portion without utilizing traditional telephone systems (which do not
permit such joining). In one embodiment, the electronic joining for the
telephonic system portion occurs using Voice over Internet Protocol
(VoIP) functionality, which allows central identification and access of
all telephones or other terminals connected to a system, and
determination of the status of each of these telephones at any time.
 The present invention also combines such data and voice access of
agents with specialized methods and systems for determining agent
optimization capabilities. This combination allows determination of where
agents connected to the system are located, as well as the availability
status and the skill set for each of the agents. This information is then
utilized in conjunction with information received about a caller, such as
identification of the caller location, which is matched to caller account
information, or via information obtained, for example, by interactive
voice response/voice recognition unit (IVR/VRU), to allow the caller to
be routed to the most appropriate available agent.
 Determining agent optimization capabilities, in an embodiment of
the present invention, involves use of a collection of software
components that have been developed to operate together to load and
utilize real time statistics. These software components allow
determination of such information as how many agents are available, the
skill sets of these available agents, and the current status of these
agents, based, for example, on telephone system information. The
determined information is used, in turn, to analyze such information as
how many agents should be available (e.g., based on expected and/or
actual call volume), what sets of skills and what number of agents having
those skills should be available (e.g., based on expected and/or actual
types of calls). This determination facilitates further management
decisions with respect to the available agents (e.g., what agents with
what skill types can be allowed to go on break at a given time).
 In an embodiment of the present invention, the selection of the
particular agent--amongst more than one available for a given need--may
be made by the client (e.g., company or business unit using the system).
For example, the agents may be prioritized based on relative workload or
on a round robin basis. Each client may also set specific selection
priorities, depending on how the client prefers to have the agents
utilized. Variation can also occur based on the style of call an agent is
logged in to take, or the skill set of the agent. Example criteria a
client may use to determine selection priority for agents may include one
or more of the following: availability; agent skill set (e.g., whether
the agent has a single skill set or multiple skill sets); level of
training and experience; and current and past productivity.
 Additional advantages and novel features of the invention will be
set forth in part in the description that follows, and in part will
become more apparent to those skilled in the art upon examination of the
following or upon learning by practice of the invention.
BRIEF DESCRIPTION OF THE FIGURES
 In the drawings:
 FIG. 1 shows an example open software and hardware architecture on
which an embodiment of the present invention is based;
 FIG. 2 presents an example flow diagram of functions performed in
accordance with an embodiment of the present invention;
 FIG. 3 presents an exemplary implementation architecture diagram
including various hardware components and other features, in accordance
with an embodiment of the present invention;
 FIG. 4 shows the Campaign Management feature for use in conjunction
with an embodiment of the present invention;
 FIG. 5 presents the Contact (Campaign) Optimizer module for use in
conjunction with an embodiment of the present invention;
 FIG. 6 presents an example of a call campaign conducted for
delinquent accounts in accordance with an embodiment of the present
 FIG. 7 shows the Workforce Management module for use in conjunction
with an embodiment of the present invention;
 FIG. 8 presents example statistics provided by the Real-Time
Messaging/Reporting module for use in conjunction with an embodiment of
the present invention;
 FIG. 9 presents an example graphic user interface of the Call
Recording module for use in conjunction with an embodiment of the present
 FIG. 10 is an example computer system capable of carrying out the
functionality of an embodiment of the present invention.
 The present invention provides multiple ACDs operating as a
seamless virtual unit and featuring high quality customer interactions
that optimize the integration of voice and data with expert knowledge
within a single ACD environment. The essential features of exemplary
embodiments of the invention are described in detail below.
Open System Architecture
 FIG. 1 shows an example open hardware and software system
architecture 100, on which an embodiment of the seamless virtual ACD of
the present invention is based. Enterprise Routing module 102 enables
identification and precise routing of customer interactions. Enterprise
Routing module 102 uses customer data, records and interaction history to
make appropriate routing decisions. Further, Enterprise Routing module
102 delivers relevant customer information to a selected agent.
Enterprise Routing module 102 centralizes ACD operations for an
easy-to-administer, cost effective, multi-site solution.
 Inbound contact module 104, in turn, delivers each incoming contact
or call to the most appropriate global resource, identifying calls, for
example, on the basis of the dialed number, calling line identification,
or through caller-entered digits (e.g., credit card, customer identifier,
or other information) and/or other IVR/VRU information.
 The IVR/VRU module 106 may be fully integrated with conventional
and Internet Protocol (IP) based ACDs to provide automated customer
interaction and may be configured to optimize self-service IVR/VRU
operations. IVR/VRU module 106 provides local prompt, collect and queuing
services; provides a rapid script development ("RSD") tool; and empowers
administrators to translate business rules and requirements into call
 Outbound Contact module 108 provides outbound customer contact
features directed to improving customer satisfaction, and may include a
predictive dialer system. In one embodiment, Outbound Contact module 108
provides the following outbound call management features: preview,
predictive, and precision dialing mode, pacing algorithms, live voice
detections, and seamless verification.
 Workforce Management module 110 is provided to reduce the
complexity of agent staffing, to improve response times, and to increase
agent and operational efficiency. In one embodiment, this module provides
forecasts to determine the number of expected inbound calls, determines
the number of agents necessary to support the predicted number of calls,
prevents overstaffing of agents, tracks actual performance, compares
resources to schedule, and makes interval adjustments.
 Contact Optimizer module 112 tracks outbound call result history
over time. In one embodiment, this module uses historical data to predict
the best time to make outbound calls to each customer, thereby increasing
productivity and profitability by decreasing long distance
telecommunication charges and maximizing agent "log-on" time. Further, in
an embodiment of the present invention, this module prioritizes
individual account characteristics.
 Time Messaging/Reporting module 114 enables real-time monitoring of
the seamless virtual ACD of the present invention and provides real-time
reports. In one embodiment, this module 114 provides real-time call
center statistics related to characteristics such as the number of calls
in a queue; the average speed of response; the longest call waiting time;
and agent utilization.
 Call Recording module 116 enables a uniform enterprise platform for
recording and analysis, includes capturing and mining features, and
automatically delivers data to decision-maker terminals. In one
embodiment, this module provides performance statistics, monitoring, and
call quality evaluation, provides real-time rules-based analyses and
alerts, and captures, stores, analyzes, and manages transactions for
compliance and risk management.
 The operation flow 2000 of an embodiment of the present invention
is shown in FIG. 2. In operation, once an incoming call 2002 is received,
the caller is identified 2004 using, for example, the caller's telephone
number or information input by the caller via IVR/VRU. Upon identifying
the caller, the caller's account information is accessed 2006, and an
evaluation is made as to the likely reason or reasons for the call 2008.
In one embodiment, the likely reason for the call 2008 is determined
automatically based on predetermined decision elements, rather than, for
example, requiring the user to utilize IVR/VRU to determine the reason
for the call.
 The decision making process regarding the likely reason for the
call 2008 may be based, for example, on recent account activity (e.g.,
account status change, value change) and may include consideration of
such characteristics as the timing of the call (e.g., time of day, day of
month), and previous activity history (e.g., has the caller called
previously and, if so, to what did the call relate), among other
 Following a determination of the most likely reason for the call
2008, an appropriate group of agents 2010 with relevant skills for the
likely reason for the call is identified and the caller is routed to that
group. If an agent in the group is available 2012, the caller is routed
to an available agent, and the caller's customer account in the system is
accessed and presented to the agent's computer, along with a query script
based on the pre-determined likely reason for the call 2014. In one
embodiment, if the pre-determined likely reason for the call is not
correct (e.g., determined in conversation between the caller and the
agent, via use of the IVR/VRU or other user input), once the correct
reason is identified, another script is provided to the agent based on
the correct reason for the call. The agent then provides assistance to
the caller, based on the provided script, and updates the caller's
account information 2016, as necessary.
 If an agent from the particular skill group is not available 2012,
an automated script 2018 is provided to the caller based on the likely
reason for the call. At the conclusion of the automated script 2018,
which, in one embodiment, engages the IVR/VRU unit, if live assistance is
nevertheless necessary 2020, the system will check whether an agent from
the relevant skill group is available 2012.
 A hypothetical scenario will now be presented to further illustrate
the process described above, using the exemplary implementation
architecture diagram 300 depicted in FIG. 3. In this scenario, a Bank A
customer in the United States receives a billing statement (e.g., a
mortgage bill statement) that indicates that the customer's escrow
withholding each month has just been increased by $150.00. A typical
reaction to such an increase is for the customer to contact Bank A to
determine why this increase has occurred.
 Upon the caller at a telephone or other terminal initiating the
call via a publicly switched telephone network ("PSTN") or other network
305, the call to one of Bank A's toll-free numbers is connected to the
system operator's facility 302 located, for example, in Orlando, Fla. The
caller's telephone number is used to identify the caller. In identifying
the caller by the caller's telephone number, the system may, for example,
compare the number to information in a repository (e.g., database) of
home, work, mobile, or other telephone numbers, in turn, to attempt to
match the user to a number. If no match is found, the caller may be
requested (e.g., via IVR/VRU module) to provide identification
information (e.g., name, account number or other identifier). Once the
caller is identified, the customer's account is accessed (e.g., via
access to a database or other repository of data, located and maintained,
for example, at the system operator's facility 302).
 Within the database, recent account activity may indicate, for
example, that a billing statement has been recently mailed that includes
a revised escrow calculation. Based on this recent activity, a
determination is made that the likely reason for the call is a question
about this activity. The call is then routed to a group of Bank A agents
having the requisite skill level (e.g., with escrow accounts) via, for
example, an International Private Leased Circuit ("IPLC") backbone 310.
Upon determining that an available agent with the appropriate skill set
is located in Mumbai, India, for example, the customer's call is routed
to that available agent via the operator's communication system 304,
located in India. The actual routing is accomplished by an Indian
telecommunications provider 312 directly to the soft phone of the
available one of Bank A's trained agents, which is coupled to the
operator's communication system 304. Simultaneously with the call
routing, the customer's account is accessed in Bank A's database, and a
query script based on the recent change in the customer's escrow account
calculation is located within Bank A's information repository (e.g.,
 When the agent receives the call, a popup window or other indicator
appears on the agent's terminal 308 containing the caller's account
information. Provided with the account information is an automatically
generated script, based on the likely reason for the call, such as the
following: "Good morning Mr./Ms. ______. You will have noticed on your
current statement that your escrow withholding has been adjusted. Would
you like me to explain how we calculate escrow withholding?"
 An embodiment of the present invention utilizes an intelligent
automated customer relations information system, such as the system
described in applicants' copending U.S. patent application Ser. No.
10/918,699 titled "METHOD AND SYSTEM FOR PROVIDING CUSTOMER RELATIONS
INFORMATION" filed Aug. 16, 2004, which is hereby incorporated by
reference (interchangeably referred to herein as the "CRE system").
Generally, upon receipt of account information and a query (e.g., keyword
input), the CRE system's artificial intelligence-based automated
scripting engine operates to provide the agent with a best response
and/or script for responding, for example, to a customer inquiry.
 The present invention operates in conjunction with systems such as
the CRE system by utilizing a library of queries, from which a selection
is triggered (predicted query) based on information in a customer's
account (e.g., recent escrow amount change). The predicted question is
then used to generate a best response from the automated query system
(e.g., CRE system), and the predicted query and response are presented to
an agent at the time of connection with the inquiring customer. Such
predicted query and response may also be provided to the customer in an
automated fashion, such as via IVR/VRU.
 An embodiment of the present invention further includes recording
features, such as call recording features that record the voice of the
agent and the caller, and keystrokes and mouse movement recorders for
recording such movements as made using the agent's keyboard and mouse.
The recorded information is usable, for example, to replay agent verbal
and keystroke responses, so that successes and failures can be reviewed
and used for tutorial purposes. In an embodiment of the present
invention, the lessons learned from the recorded information are used to
provide continual feedback, such as for revising agent optimization
 In an embodiment of the present invention, performance analysis for
agents may include such information as the style of call handled (e.g.,
for a collection-type call, how many dollars per call the agent actually
collects or how many dollars per call the agent receives as a promise to
pay), average resolution time, and the number of times that a customer
calls back with the same question (e.g., to determine effectiveness of
the agent). This analysis may also be used to optimize the agents.
 In an embodiment of the present invention, feedback occurs
automatically among different components in the system. For example, the
telephone system component may include a database or other repository of
data that records the statistics for each call event (e.g., call length,
which would presumably relate to length of time for resolution). The real
time reporting information from the telephone system component is
transmitted to other components, e.g. a component managing calls in a
queue or a component for workforce management and optimization. From
system components such as a loan servicing system component, information
related to collection activity, the number of promises to pay, and the
dollar amount of the promises, as recorded by the agent, may similarly be
used in a feedback manner to influence the system's activity in real time
or near real time.
 Outbound contact module 108 shown in FIG. 1 is now described in
more detail. This module provides features such as placing outbound calls
(referred to interchangeably herein as "campaigns"), real-time
maximization of the use of skilled agents, real-time effective management
of telephony resources, and real-time display of statistical information,
such as trunk, agent and campaign statistics, as well as other
 In an embodiment of the present invention, the Outbound Contact
module may utilize four different dialing modes: predictive, preview,
progressive "power dialing," and blended mode.
 The predictive outbound dialing mode is a dedicated dialing mode
that handles contacts by continually adjusting the number of call
originations needed per agent to achieve near 100-percent agent
utilization. This mode uses calculations of the average wait time and
average handle time that agents are experiencing to adjust the number of
 The preview outbound dialing mode enables the dialer to first
reserve or "lock" an agent by placing a phantom call on the ACD. In this
mode, a screen pops up on logged-in agents' desktop terminals, allowing
the agents to dial, skip, or cancel the request.
 The progressive power dialing mode enables campaign administrators
to configure the dialing rate such that the Outbound Contact module does
not attempt to predict the number of lines needed per agent and instead
dials a set number of lines per agent. This number can be configured and
set to a single line per agent. This feature guarantees that an agent
will be available when a customer responds to a telephone contact.
 The blended dialing mode enables delivery of both inbound and
outbound (preview) calls to the same group of agents dynamically.
Differing from the dedicated modes, blending enables an agent to switch
between receipt of inbound and outbound calls on a call-by-call basis.
 A feature of the Outbound Contact module in an embodiment of the
present invention that enables call center managers to effectively
administer and manage dialing campaigns is referred to herein as the
"Campaign Management" feature.
 The Campaign Management feature 400, schematically depicted in FIG.
4, provides managers with the ability to configure campaigns 410, create
query rules 420, and import dialing lists 430. Campaigns 410 can be
configured to provide callbacks, which can be initiated based on the
request of a party to be called back, or be automatically initiated by
the system based on failure to contact a live party, for example. The
personal callback feature provides an agent the ability to insert a
record into the Dialing List table 430 for the customer or other party to
be called at a later time. The agent can then enter, directly into the
desktop application, the time and date information most convenient for
that party to be contacted. The contact record is modified in the Dialing
List table 430, indicating a telephone number to call and a time to place
the call, thereby allowing the Outbound Contact module to offer the call
to the specified agent at the designated time.
 Another feature of the Outbound Contact module of an embodiment of
the present invention is referred to herein as "Enhanced Call Progress
Analysis." This feature provides the system with the capability to
detect, for example automatically, the presence of an answering machine,
facsimile machine, or modem. The Outbound Contact module accomplishes
this capability in part by a high accuracy of active voice detection.
Answering machine and/or modem detection call results are recorded in the
Real-Time Messaging/Reporting unit, which tallies the types of responses
detected during a campaign.
 Yet another feature of the Outbound Contact module of an embodiment
of the present invention is referred to herein as "Transfer to IVR/VRU."
This feature enables pre-recorded IVR/VRU campaigns to be accomplished by
providing the ability to play an automated message to a live caller from
the IVR/VRU unit, or to leave pre-recorded messages on, for example, an
answering machine. With answering machine or other recording detection
enabled, live callers reached by the dialer can be connected to an agent
and answering machines automatically directed to the IVR/VRU unit. This
feature eliminates the occurrence of agents connecting to answering
machines, thereby providing higher utilization of agent resources in the
 A further feature of the Outbound Contact module in an embodiment
of the present invention is referred to herein as the "Do Not Call" list.
This feature provides the capability to add entries into a Do Not Call
table. By eliminating calls that are in the Do Not Call table, for
example, a higher call completion success rate is achieved.
 Another component of the present invention (referred to
interchangeably herein as the contact or campaign optimizer, for which an
exemplary graphical user interface (GUI) screen portion is shown in FIG.
5) includes a dialer feature for calling customers or other parties to be
called. In addition to predicting the best time to call each customer,
the contact optimizer feature increases profitability and productivity by
decreasing long distance telecommunication charges and maximizing agent
log-on time. Dial "campaigns" are built based on such considerations as:
1) the best time to call a customer, based on account records (e.g.,
relying on account history, rather than just customer expressed
preference); 2) the best dial sequence for initiating the contact (e.g.,
first home, second work, third mobile); and 3) the best way to contact
the customer, given the style of the campaign.
 Once the campaign is running, the campaign is fine-tuned based on
feedback information, in order to optimize results. For example, a
typical goal is raising the number correct party numbers contacted
initially, which may be assumed to correlate to talking to the right
person at the right time. Another factor is ensuring that a sufficient
number of agents are available at all times. In addition to optimizing
the campaign, the approach to the called party is optimized, such as by
using the CRE system to focus on issues in the campaign of likely
interest to that party (e.g., a recently increased escrow payment).
 An example of various features of such a call campaign, shown in
FIG. 6, involves triggering calls to customers upon accounts becoming
delinquent. Initially, the contact optimizer of the present invention
identifies or receives a list of customers that need to be contacted upon
a predetermined event occurring (e.g., list of delinquent accounts
today). Available agents with the necessary skills for the campaign
(e.g., agents trained in collections) are then identified and connected,
based on the determined priority for the agents, to called customers
meeting the campaign requirements. Once a customer is connected, the
agent receives a prompt generated from the campaign component (e.g., a
prompt is provided to the agent based on the customer having a delinquent
 The present invention has the capability to manage multiple
campaigns and agents with multiple skills simultaneously. Thus, for
example, an agent with multiple expertise areas may vary in campaign type
selected, from call to call, depending on different points in the queue
the agent falls and the campaign type for which the customer at that
point in the queue is responding.
 In embodiments of the present invention, determination of customers
or other parties to be contacted during a campaign is determined via
interaction with other linked systems or components, such as a servicing
system or an unsecured collection system. For example, a linked or
incorporated unsecured collection system may include a periodic database
or other repository of data review that identifies all customers failing
to make a monthly payment. This list of customers is extracted, evaluated
for any other factors that could impact whether to contact the customer,
and then each customer approved for contact is contacted via a dialer or
other contact mechanism, in turn, and linked to an available agent, in
accordance with the present invention.
 In one embodiment, for example, the data for all accounts to be
contacted is determined each evening, and delivered to the optimizer the
following morning to determine optimal contact procedure. One embodiment
of the optimizer of the present invention includes software based on
VoIP, layered on top of the base hardware for VoIP. For example, in one
embodiment, the optimizer software is designed for use with software made
by Cisco Systems, Inc., of San Jose, Calif., which provides the base
functionality for dialing operation. The invention is not intended to be
limited to the Cisco Systems software disclosed, but may be used with any
suitable software platform, as available from a number of vendors.
 In operation, the combined dialing and base software receives the
list of contacts to be made, and dials the contacts in a determined
order, and based, for example, on optimized contact procedure for each
contact. Once a call is answered, the present invention conferences a
live agent, determined based on the agent priority portion of the system.
In simple overview, for optimized calling campaigns, the present
invention proceeds through the following determinations: 1) the first
telephone number of the telephone numbers provided to be dialed for the
contact; 2) the time of day, based on the selected style of account, that
is optimal for contacting the contact at the telephone number identified;
and 3) the appropriate agent routing using a workforce optimizer
component (also interchangeably referred to herein as the "Workforce
Management" component as described further below), and the specific agent
to which each call is to be routed once a connection is made. Upon these
steps being completed, an intelligent agent system or other component for
assisting agent procedure, such as the CRE system and the generated
prompts, is triggered (e.g., scripted prompts are provided to the agent
based on the campaign issue involved).
 In an embodiment of the present invention, the software and
hardware for identifying contacts, optimizing contact procedure,
optimizing agent selection, and supporting agent inquiry may be housed in
a single location (e.g., single server) or housed in separate
communicating locations (e.g., multiple servers on a network, such as the
Internet). Agent access occurs, for example, via terminals (e.g.,
personal computers, telephones) coupled (e.g., via wired, wireless, or
fiberoptic link) to the location or locations of the software and
hardware. The software and hardware linking includes, for example, both
data accessing systems and the VoIP operational features.
 In operation, the VoIP system, for example, allows a terminal
(e.g., computer or telephone) connection similar to a telephone switch,
but operating via a network, such as the Internet. The VoIP system of one
embodiment of the present invention is able to connect to the appropriate
agent extension (e.g., of available agents) and provide operation as a
function of information provided by a workforce management component, a
contact optimizer, and a query or information engine, such as the CRE
system. For example, if the step in the process (e.g., following
connection to an identified customer) requires contact of an agent, the
present invention utilizes its telephone system component (e.g., VoIP)
and workforce management component to identify and connect to an
available, prioritized agent with appropriate skills. The telephone
component of the system then functions similarly to a telephone transfer,
so as to connect the customer to the selected agent. The query and
information engine component (e.g., CRE system) and servicing system
component identify which terminal the agent is logged into, and, in one
embodiment, both data and voice information travel to that terminal. The
data the agent receives includes, for example, a selected script produced
by the query and information engine component.
 The determination of agent availability, in one embodiment,
includes use of a system that determines agent login status. In one
embodiment, the login terminal for the agent is matched to a
corresponding telephone line for agent communication with the called or
calling party. In another embodiment, telephone communication occurs via
the terminal, and no separate matched telephone line is required. In one
embodiment, the telephone communication via the terminal occurs using
software, and the agent communicates via the terminal using, for example,
a handset or headset.
 In an embodiment of the present invention, the agents are located
throughout the world, and agents are continually available somewhere in
the world at all times. A centralized hardware and software location or
centralized locations are used to communicate to the agents throughout
the world. No separate call center at each location is required. The
centralized approach further allows agents to operate at virtually
unlimited numbers of locations, such as from each agent's home, as long
as the agent is able to access a terminal communicating (e.g., for voice
and data) with the centralized hardware and software.
 In an embodiment of the present invention, multiple client agents
(e.g., multiple agent sets based on multiple companies using the same
centralized hardware and software for differing database information and
calling subjects) and information and query system components are
utilizable by the centralized hardware and software aspect of the system.
Thus, for example, the centralized hardware and software discriminate
each called or calling party based on the corresponding telephone number
for the party calling or called, or alternatively for the number being
called by that party (e.g., each client has a different business
telephone number) and match the agents and CRE system information,
depending on the client and need. For such multiple client agent
applications, each client is able to select differing business rules,
such as priority rules for selecting among available agents.
 Yet another module of an embodiment of the present invention,
schematically depicted in FIG. 7 is referred to herein in some
embodiments as the "Workforce Management" component. Based on ACD data,
historical patterns and different scenario assumptions, this module
provides forecasts to determine the number of expected inbound calls,
determines the number of agents necessary to support the predicted number
of calls, thereby preventing the overstaffing of agents, creates
schedules and assigns agents to schedules, tracks actual performance, has
the capability of taking quick corrective action, compares resources to
schedules, and makes interval adjustments.
 The Real-Time Messaging/Reporting module of an embodiment of the
present invention is a custom browser-based reporting portal that shows
real-time ACD statistics across the enterprise. Example statistics that
may be provided, as shown in FIG. 8, include, for a particular skill
group of agents, the number and status of calls in the queue, the average
speed of answer ("ASA") for each call, and the status of each agent in
the particular skill group (e.g., signed-in, available, not ready,
talking in, talking out, on hold).
 An example GUI screen of the Call Recording module of an embodiment
of the present invention is shown in FIG. 9. In one embodiment, this
module provides performance statistics, monitors and evaluates call
quality, optimizes agent performance, and increases agent retention. As
shown in FIG. 9, for example, for each transaction, this module displays
the start time, duration, handling agent, dialed from number, etc.
 The present invention may be implemented using hardware, software
or a combination thereof and may be implemented in one or more computer
systems or other processing systems. In one embodiment, the invention is
directed toward one or more computer systems capable of carrying out the
functionality described herein. An example of such a computer system 200
is shown in FIG. 10.
 Computer system 200 includes one or more processors, such as
processor 204. The processor 204 is connected to a communication
infrastructure 206 (e.g., a communications bus, cross-over bar, or
network). Various software embodiments are described in terms of this
exemplary computer system. After reading this description, it will become
apparent to a person skilled in the relevant art(s) how to implement the
invention using other computer systems and/or architectures.
 Computer system 200 can include a display interface 202 that
forwards graphics, text, and other data from the communication
infrastructure 206 (or from a frame buffer not shown) for display on the
display unit 230. Computer system 200 also includes a main memory 208,
preferably random access memory (RAM), and may also include a secondary
memory 210. The secondary memory 210 may include, for example, a hard
disk drive 212 and/or a removable storage drive 214, representing a
floppy disk drive, a magnetic tape drive, an optical disk drive, etc. The
removable storage drive 214 reads from and/or writes to a removable
storage unit 218 in a well-known manner. Removable storage unit 218,
represents a floppy disk, magnetic tape, optical disk, etc., which is
read by and written to removable storage drive 214. As will be
appreciated, the removable storage unit 218 includes a computer usable
storage medium having stored therein computer software and/or data.
 In alternative embodiments, secondary memory 210 may include other
similar devices for allowing computer programs or other instructions to
be loaded into computer system 200. Such devices may include, for
example, a removable storage unit 222 and an interface 220. Examples of
such may include a program cartridge and cartridge interface (such as
that found in video game devices), a removable memory chip (such as an
erasable programmable read only memory (EPROM), or programmable read only
memory (PROM)) and associated socket, and other removable storage units
222 and interfaces 220, which allow software and data to be transferred
from the removable storage unit 222 to computer system 200.
 Computer system 200 may also include a communications interface
224. Communications interface 224 allows software and data to be
transferred between computer system 200 and external devices. Examples of
communications interface 224 may include a modem, a network interface
(such as an Ethernet card), a communications port, a Personal Computer
Memory Card International Association (PCMCIA) slot and card, etc.
Software and data transferred via communications interface 224 are in the
form of signals 228, which may be electronic, electromagnetic, optical or
other signals capable of being received by communications interface 224.
These signals 228 are provided to communications interface 224 via a
communications path (e.g., channel) 226. This path 226 carries signals
228 and may be implemented using wire or cable, fiber optics, a telephone
line, a cellular link, a radio frequency (RF) link and/or other
communications channels. In this document, the terms "computer program
medium" and "computer usable medium" are used to refer generally to media
such as a removable storage drive 214, a hard disk installed in hard disk
drive 212, and signals 228. These computer program products provide
software to the computer system 200. The invention is directed to such
computer program products.
 Computer programs (also referred to as computer control logic) are
stored in main memory 208 and/or secondary memory 210. Computer programs
may also be received via communications interface 224. Such computer
programs, when executed, enable the computer system 200 to perform the
features of the present invention, as discussed herein. In particular,
the computer programs, when executed, enable the processor 204 to perform
the features of the present invention. Accordingly, such computer
programs represent controllers of the computer system 200.
 In an embodiment where the invention is implemented using software,
the software may be stored in a computer program product and loaded into
computer system 200 using removable storage drive 214, hard drive 212, or
communications interface 224. The control logic (software), when executed
by the processor 204, causes the processor 204 to perform the functions
of the invention as described herein. In another embodiment, the
invention is implemented primarily in hardware using, for example,
hardware components, such as application specific integrated circuits
(ASICs). Implementation of the hardware state machine so as to perform
the functions described herein will be apparent to persons skilled in the
 In yet another embodiment, the invention is implemented using a
combination of both hardware and software.
 Example embodiments of the present invention have now been
described in accordance with the above advantages. It will be appreciated
that these examples are merely illustrative of the invention. Many
variations and modifications will be apparent to those skilled in the
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