Computer-implemented techniques for determining and provisioning real-time individualized product and service offering

Patent metadata

Field	Value
Publication number	US-2017061463-A1
Application number	US-201514843590-A
Country	US
Kind code	A1
Filing date	Sep 2, 2015
Priority date	Sep 2, 2015
Publication date	Mar 2, 2017
Grant date	—

Abstract

User information may be received and a market segment associated with the user may be received. A personalized or individualized offer may be determined based on the user information, the personalized offer determined based on a product offeror's goal with respect to the user at a given time. The market segment offer and the personalized offer may be blended to determine a recommended personalized offering for the user at the given time, e.g., given a company's tactical, strategic and lifetime goals and values for that user.

First claim

We claim:

1 . A computer-implemented method of determining real-time individualized offering, comprising:
receiving, by one or more processors, user information associated with a user; receiving, by one or more of the processors, a market segment offer associated with a product; determining, by one or more of the processors, a personalized offer based on the user information, the personalized offer determined based on a product offeror's goal with respect to the user at a given time; blending, by one or more of the processors, the market segment offer and the personalized offer to determine a recommended offering that is consistent with the user's goal at the given time of the offering; and providing, by one or more of the processors, the recommended offering to the user via a user's device.

2 . The method of claim 1 , wherein the market segment offer changes based on changing factors.

3 . The method of claim 1 , wherein the providing comprises sending an alert to the user's device over a wireless channel, wherein the user's device is activated to automatically connect to a product offeror's web site.

4 . The method of claim 1 , wherein the product offeror's goal comprises one or more of retention, loyalty, up sell, cross sell, relationship repair, or price sensitivity testing, or combinations thereof, and wherein the product offeror's goal with respect to the customer changes over time.

5 . The method of claim 1 , wherein the blending comprises:
determining an equivalent market segment based offer of the personalized offer; and modifying the personalized offer based on the equivalent market segment based offer and one or more personalized offering rules.

6 . The method of claim 1 , wherein the determining of the market segment offer and the determining of the personalized offer are executed in parallel.

7 . The method of claim 1 , wherein the personalized offer is determined based on one or more of live and stored dynamic user profile, updated in one or more of batch and real time based on information available at the given time that adds value to the recommended offering, the information comprising at least one or more of loyalty program data, sales transaction data, click-stream data, social media activity data.

8 . A computer readable storage medium storing a program of instructions executable by a machine to perform a method of determining real-time individualized offering, comprising:
receiving, by one or more processors, user information associated with a user; receiving, by one or more of the processors, a market segment offer associated with a product; determining, by one or more of the processors, a personalized offer based on the user information, the personalized offer determined based on a product offeror's goal with respect to the user at a given time; blending, by one or more of the processors, the market segment offer and the personalized offer to determine a recommended offering that is consistent with the user's goal at the given time of the offering; and providing, by one or more of the processors, the recommended offering to the user via a user's device.

9 . The computer readable storage medium of claim 8 , wherein the market segment offer changes based on changing factors.

10 . The computer readable storage medium of claim 8 , wherein the providing comprises sending an alert to the user's device over a wireless channel, wherein the user's device is activated to automatically connect to a product offeror's web site.

11 . The computer readable storage medium of claim 10 , wherein the product offeror's goal comprises one or more of retention, loyalty, up sell, cross sell, relationship repair, or price sensitivity testing, or combinations thereof, wherein the product offeror's goal with respect to the customer can change over time and with each offering.

12 . The computer readable storage medium of claim 8 , wherein the blending comprises:
determining an equivalent market segment based offer of the personalized offer; and modifying the personalized offer based on the equivalent market segment based offer and one or more personalized offering rules.

13 . The computer readable storage medium of claim 8 , wherein the determining of the market segment offer and the determining of the personalized offer are executed in parallel.

14 . The computer readable storage medium of claim 8 , the personalized offer is determined based on dynamic customer profile, updated in one or more of real time and in batch mode, based on information available at the given time that adds value to the offering, the information comprising at least one or more of loyalty program data, sales transaction data, click-stream data, social media activity data.

15 . A system of determining real-time individualized offering, comprising:
a storage device operable to store data associated with a user and market segments, the data comprising at least loyalty program data, sales transaction data, click-stream data, social media activity data; a processor coupled to the storage device and further operable to receive user information associated with the user, the processor further operable to receive a market segment offer associated with a product; the processor further operable to determine a personalized offer based on the user information, the personalized offer determined based on a product offeror's goal with respect to the user at a given time; the processor further operable to blend the market segment offer and the personalized offer to determine a recommended offering that is consistent with the user's goal at the given time of the offering; and the processor further operable to provide the recommended offering to the user via a user's device.

16 . The system of claim 15 , wherein the market segment offer changes based on changing factors.

17 . The system of claim 15 , wherein the personalized offer is determined based on a product offeror's goal with respect to the customer at the given time and in a long term.

18 . The system of claim 17 , wherein the product offeror's goal comprises one or more of retention, loyalty, up sell, cross sell, relationship repair, price sensitivity testing, or combinations thereof, wherein the product offeror's goal with respect to the customer changes over time.

19 . The system of claim 15 , wherein the processor is further operable to blend the market segment offer and the personalized offer by determining an equivalent market segment based offer of the personalized offer and modifying the personalized offer based on the equivalent market segment offer and one or more personalized offering rules.

20 . The system of claim 15 , wherein the processor determines the market segment offer and the personalized offer in parallel.

Assignees

• IBM

Inventors

• Ettl Markus R
• Oh Sechan
• Pinchuk Steven G

Classifications

• G06Q30/0239

  Online discounts or incentives · CPC title

• G06Q30/0226 Primary

  Incentive systems for frequent usage, e.g. frequent flyer miles programs or point systems · CPC title

• G06Q30/0204

  Market segmentation · CPC title

• G06Q30/0224

  based on user history · CPC title

• G06Q30/02 Primary

  Marketing; Price estimation or determination; Fundraising · CPC title