IP Library Granted Patent US 8,521,572
Granted Patent B2
US 8,521,572 · App. 12/862,550 · Granted Aug 27, 2013

Customer care support system with call avoidance processing

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Quick Facts
Patent No.
US 8,521,572
App. No.
12/862,550
Granted
Aug 27, 2013
Kind
B2
Abstract

Methods and systems for managing customer activity in a call center include monitoring event data. A mediator filters the event data into an event data set associated with a selected customer. A context component creates a context for the customer based on the event data set. A decision engine performs a probabilistic assessment of an occurrence related to the customer, based on the customer context, and determines an action based on the probabilistic assessment. An action processor initiates the action.

Claims (41)

1. A computer-implemented method for managing customer activity in a call center, the method comprising:

monitoring, by a computer system, event data;

filtering, by the computer system, the event data into an event data set associated with a single specific customer;

creating, by the computer system, a context for the single specific customer based on the event data set;

performing, by the computer system, a probabilistic assessment of an occurrence related to the single specific customer, based on the context, wherein the probabilistic assessment of the occurrence is representative of a likelihood that the single specific customer will initiate contact with the call center;

determining, by the computer system, an action based on the probabilistic assessment,

wherein the action comprises one of: a phone call to the single specific customer, an electronic communication to the single specific customer, a change to a customer account, and an electronic communication to an operational system; and

initiating, by the computer system, the action.

2. The computer-implemented method of claim 1 , further comprising translating the action into an industry standard format.

3. The computer-implemented method of claim 1 , wherein the context includes chronological information, customer preferences, and a possible motivation for calling.

4. The computer-implemented method of claim 1 , wherein the event data represents changes in customer operational systems and comprises one of: a file, an asynchronous message, a transaction log, a database extract, and a synchronous message.

5. The computer-implemented method of claim 1 , wherein the event data comprises one of: customer information, bill payment information, and historical information.

6. The computer-implemented method of claim 1 , further comprising:

based on the event data, triggering the filtering by the computer system of the event data into the event data set associated with the single specific customer.

7. The computer-implemented method of claim 1 , wherein the computer system includes a probabilistic assessment package.

8. A system for managing customer activity in a call center, the system comprising:

an event handler configured to monitor event data;

a mediator configured to filter the event data into an event data set associated with a single specific customer;

a context component configured to create a context for the single specific customer based on the event data set;

a decision engine configured to:

perform a probabilistic assessment of an occurrence related to the single specific customer, based on the context, wherein the probabilistic assessment of the occurrence is representative of a likelihood that the single specific customer will initiate contact with the call center, and

determine an action based on the assessment,

wherein the action comprises one of: a phone call to the single specific customer, an electronic communication to the single specific customer, a change to a customer account, and an electronic communication to an operational system; and

an action processor configured to initiate the action.

9. The system of claim 8 , further comprising a translation component configured to translate the action into an industry standard format.

10. The system of claim 8 , wherein the context includes chronological information, customer preferences, and a possible motivation for calling.

11. The system of claim 8 , wherein the event data represents changes in customer operational systems and comprises one of: a file, an asynchronous message, a transaction log, a database extract, and a synchronous message.

12. The system of claim 8 , wherein the event data comprises one of: customer information, bill payment information, and historical information.

13. The system of claim 8 , further comprising:

a triggering component configured to trigger, based on the event data, the filtering component to filter the event data.

14. The system of claim 8 , further comprising a probabilistic assessment package.

15. A computer-implemented method for preventing customers from contacting a call center, the method comprising:

monitoring, by a computer system, event data;

filtering, by the computer system, the event data into an event data set associated with a single specific customer;

creating, by the computer system, a context for the single specific customer based on the data set;

performing, by the computer system, a probabilistic assessment of the likelihood that the single specific customer will initiate a call to the call center, based on the context, wherein the probabilistic assessment of the occurrence is representative of a likelihood that the single specific customer will initiate contact with the call center;

determining, by the computer system, a preemptive action intended to prevent the single specific customer from initiating the call, based on the probabilistic assessment,

wherein the action comprises one of: a phone call to the single specific customer, an electronic communication to the single specific customer, a change to a customer account, and an electronic communication to an operational system; and

initiating, by the computer system, the preemptive action.

16. The method of claim 15 , wherein the context includes chronological information, customer preferences, and a possible motivation for calling.

17. The method of claim 15 , wherein the event data represents changes in the customer operational systems and comprises one of: a file, an asynchronous message, a transaction log, a database extract, and a synchronous message.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 4, 2016
From: AMDOCS SOFTWARE SYSTEMS LIMITED
To: AMDOCS DEVELOPMENT LIMITED; AMDOCS SOFTWARE SYSTEMS LIMITED
Reel/Frame 039695/0965 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 26, 2010
From: HANSON, CRAIG D.; GUINN, WILLIAM D.; VEREGO, GREG; D'AMOUR, JOHN
To: AMDOCS SOFTWARE SYSTEMS LIMITED
Reel/Frame 024894/0163 →