System and method for managing customer call-backs
First Claim
1. A processor based method for managing customer calls within a call center, comprising:
- upon receiving a customer call at a call center of an enterprise from an inbound caller, opening, by the processor, an inbound call record for the customer call including any automatic number identifier information delivered with the customer call;
monitoring, by the processor, the customer call of the inbound caller to retrieve one or more of IVR data received from the inbound caller via interaction with an interactive voice response unit and inbound queue data retrieved by monitoring an inbound call queue including the inbound caller, and updating the inbound call record for the inbound caller with the one or more of the IVR data and the inbound queue data retrieved;
analyzing, by the processor, the one or more of the IVR data and the inbound queue data to detect any termination of the inbound call by exercising a call-back option via the interactive voice response unit or by abandoning the customer call, and in the event of detecting the termination of the customer call;
opening, by the processor, a call-back record for the terminated customer call including any automatic number identifier information delivered, and the one or more of the IVR data and the inbound queue data in the inbound call record;
querying, by the processor, one or more databases to retrieve customer identifier data and to associate the call-back record with an identified customer via the customer identifier data;
retrieving, by the processor, customer demographic data associated with the identified customer;
determining, by a predictive model executing on the processor, a value prediction signal comprising one or more of a first signal representative of a likelihood that the identified customer will accept an offer to purchase a product, a second signal representative of a likelihood that the identified customer will lapse in payments for a purchased product, and a third signal representative of a likelihood that the identified customer will accept an offer to purchase the product and will not lapse in payments for the purchased product;
wherein the predictive model comprises a logistic regression model operating in conjunction with a tree based model;
classifying, by the predictive model executing on the processor based on the value prediction signal determined by the predictive model, the identified customer into one of a first value group and a second value group;
in the event the classifying step classifies the identified customer into the first value group, assigning, by the processor, the identified customer to a priority call-back queue assignment;
wherein the priority call-back queue assignment comprises one or more of a queue position in a priority call-back queue and a priority queue position in a call-back queue;
in the event the classifying step classifies the identified customer into the second value group, assigning, by the processor, the identified customer to a subordinate call-back queue assignment;
wherein the subordinate call-back queue assignment comprises one or more of a queue position in a subordinate call-back queue and a subordinate queue position in a call-back queue; and
automatically calling back the identified customer, by an automatic calling device in communication with the processor, based on the priority call-back queue assignment or the subordinate call-back queue assignment for the identified customer.
1 Assignment
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Accused Products
Abstract
A system herein provides automated call-back of customers who have terminated an inbound call by exercising a call-back option of an interactive voice response unit or by abandoning the inbound call, using predictive modeling of caller value to prioritize call-backs. The call management system monitors the inbound customer call and detects any termination of the customer call. A call-back module opens a call-back record for the terminated customer call and associates that call-back record with an identified customer. The call-back module retrieves customer demographic data and other data associated with the identified customer. A predictive module determines a value prediction signal for the identified customer by modeling purchase and lapse behaviors and classifies each identified customer for either priority call-back or subordinate call-back treatment. Priority call-back classification may result in assignment to a priority call-back queue, assignment to a priority call-back queue position, or call-back by a selected agent.
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Citations
20 Claims
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1. A processor based method for managing customer calls within a call center, comprising:
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upon receiving a customer call at a call center of an enterprise from an inbound caller, opening, by the processor, an inbound call record for the customer call including any automatic number identifier information delivered with the customer call; monitoring, by the processor, the customer call of the inbound caller to retrieve one or more of IVR data received from the inbound caller via interaction with an interactive voice response unit and inbound queue data retrieved by monitoring an inbound call queue including the inbound caller, and updating the inbound call record for the inbound caller with the one or more of the IVR data and the inbound queue data retrieved; analyzing, by the processor, the one or more of the IVR data and the inbound queue data to detect any termination of the inbound call by exercising a call-back option via the interactive voice response unit or by abandoning the customer call, and in the event of detecting the termination of the customer call; opening, by the processor, a call-back record for the terminated customer call including any automatic number identifier information delivered, and the one or more of the IVR data and the inbound queue data in the inbound call record; querying, by the processor, one or more databases to retrieve customer identifier data and to associate the call-back record with an identified customer via the customer identifier data; retrieving, by the processor, customer demographic data associated with the identified customer; determining, by a predictive model executing on the processor, a value prediction signal comprising one or more of a first signal representative of a likelihood that the identified customer will accept an offer to purchase a product, a second signal representative of a likelihood that the identified customer will lapse in payments for a purchased product, and a third signal representative of a likelihood that the identified customer will accept an offer to purchase the product and will not lapse in payments for the purchased product;
wherein the predictive model comprises a logistic regression model operating in conjunction with a tree based model;classifying, by the predictive model executing on the processor based on the value prediction signal determined by the predictive model, the identified customer into one of a first value group and a second value group; in the event the classifying step classifies the identified customer into the first value group, assigning, by the processor, the identified customer to a priority call-back queue assignment;
wherein the priority call-back queue assignment comprises one or more of a queue position in a priority call-back queue and a priority queue position in a call-back queue;in the event the classifying step classifies the identified customer into the second value group, assigning, by the processor, the identified customer to a subordinate call-back queue assignment;
wherein the subordinate call-back queue assignment comprises one or more of a queue position in a subordinate call-back queue and a subordinate queue position in a call-back queue; andautomatically calling back the identified customer, by an automatic calling device in communication with the processor, based on the priority call-back queue assignment or the subordinate call-back queue assignment for the identified customer. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A processor based method for managing customer calls within a call center, comprising:
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upon receiving a customer call at a call center of an enterprise from an inbound caller, opening, by the processor, an inbound call record for the customer call, the inbound call record including any automatic number identifier information delivered with the customer call; monitoring, by the processor, the customer call to detect any termination of the customer call by exercising a call-back option via the interactive voice response unit or by abandoning the customer call, and in the event of detecting the termination of the customer call; opening, by the processor, a call-back record for the terminated customer call including any automatic number identifier information delivered; querying, by the processor, one or more database to retrieve customer identifier data and to associate the call-back record with an identified customer via the customer identifier data; retrieving, by the processor, customer demographic data associated with the identified customer; determining, by a predictive model executing on the processor, a value prediction signal comprising one or more of a first signal representative of a likelihood that the identified customer will accept an offer to purchase a product, a second signal representative of a likelihood that the identified customer will lapse in payments for a purchased product, and a third signal representative of a likelihood that the identified customer will accept an offer to purchase the product and will not lapse in payments for the purchased product;
wherein the predictive model comprises a logistic regression model operating in conjunction with a tree based model;classifying, by the predictive model executing on the processor based on the value prediction signal determined by the predictive model, the identified customer into one of a first value group and a second value group; in the event the classifying step classifies the identified customer into the first value group, automatically calling back the identified customer via an automatic calling device in communication with the processor, for connection to a selected agent of the call center; in the event the classifying step classifies the identified customer into the second value group, automatically executing a subordinate call-back procedure via an automatic calling device in communication with the processor. - View Dependent Claims (11, 12, 13, 14, 15)
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16. A system for managing customer calls within a call center, comprising:
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an inbound telephone call receiving device for receiving a customer call from an inbound caller to the call center; a telephone calling device for placing outbound customer calls from the call center; an interactive voice response unit; non-transitory machine-readable memory that stores call history information and customer profile information for customers of the call center; a predictive modeling module that stores a predictive model of customer value, wherein the predictive model comprises a logistic regression model operating in conjunction with a tree based model; and a processor, configured to execute a call-back management module, wherein the processor in communication with the non-transitory machine-readable memory and the predictive modeling module executes a set of instructions instructing the processor to; generate an inbound call record including any automatic number identifier information delivered with the customer call received by the inbound telephone call receiving device; monitor the customer call to detect any termination of the customer call by exercising a call-back option of the interactive voice response unit or by abandoning the customer call, and in the event of detecting the termination of the customer call; opening a call-back record for the terminated customer call including any automatic number identifier information delivered with the customer call; query one or more database to retrieve customer identifier data and to associate the call-back record with an identified customer; retrieve from the non-transitory machine-readable memory any of the call history information and the customer profile information associated with the identified customer; determine a value prediction signal comprising one or more of a first signal representative of a likelihood that the identified customer will accept an offer to purchase a product, a second signal representative of a likelihood that the identified customer will lapse in payments for a purchased product, and a third signal representative of a likelihood that the identified customer will accept an offer to purchase the product and will not lapse in payments for the purchased product; classify the identified customer into one of a first value group and a second value group based on the value prediction signal; and direct the telephone calling device for placing outbound customer calls; in the event the call-back management module classifies the identified customer into the first value group, to automatically call back the identified customer for connection to a selected agent of the call center; in the event the call-back management module classifies the identified customer into the second value group, to automatically execute a subordinate call-back procedure. - View Dependent Claims (17, 18, 19, 20)
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Specification