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US Patent 10257355 System and method for managing customer call-backs

Patent 10257355 was granted and assigned to Massachusetts Mutual Life Insurance Company on April, 2019 by the United States Patent and Trademark Office.

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Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent

Patent attributes

Patent Applicant
Massachusetts Mutual Life Insurance Company
Massachusetts Mutual Life Insurance Company
Current Assignee
Massachusetts Mutual Life Insurance Company
Massachusetts Mutual Life Insurance Company
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10257355
Patent Inventor Names
Sears Merritt16
Date of Patent
April 9, 2019
Patent Application Number
16111051
Date Filed
August 23, 2018
Patent Citations Received
‌
US Patent 12020173 System and method for managing customer call-backs
1
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US Patent 11669749 System and method for managing customer call-backs
2
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US Patent 11895162 System and method for implementing a cloud-to-enterprise voice application gateway
3
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US Patent 11917105 System and method for providing chat-based customer callbacks
4
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US Patent 11948153 System and method for managing customer call-backs
5
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US Patent 10547748 System and method for managing routing of customer calls to agents
6
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US Patent 10565529 System and method for managing routing of customer calls to agents
7
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US Patent 11551108 System and method for managing routing of customer calls to agents
...
Patent Primary Examiner
‌
Nafiz E Hoque
Patent 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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