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

Patent metadata

Field	Value
Publication number	US-10318966-B2
Application number	US-201514843590-A
Country	US
Kind code	B2
Filing date	Sep 2, 2015
Priority date	Sep 2, 2015
Publication date	Jun 11, 2019
Grant date	Jun 11, 2019

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 a user's goal at the given time of the offering, the blending comprising:
determining an equivalent market segment based offer of the personalized offer, the equivalent market segment based offer determined as a summation of a multiplication of a quantity and a unit market segment price of all items included in the personalized offer, the unit market segment price of an item being a price at which customers can purchase the item without customer information, based on a market segment of the customers at the given time in a non-personalized segment based offer system; and
modifying the personalized offer based on the equivalent market segment based offer and one or more personalized offering rules, the modifying comprising: responsive to determining that a difference between the personalized offer and the equivalent market segment based offer exceeds a threshold, performing at least one of removing the personalized offer, increasing a price of the personalized offer, removing a component element of the personalized offer, and adding a component element of the personalized offer, so that the difference is within the threshold; and

providing, by one or more of the processors, the recommended offering to the user via a user's device, the providing comprising:
activating the user's device to automatically connect to a product offeror's web site.

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 to activate the user's device to automatically connect to the 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 user changes over time.

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

6. The method of claim 1 , wherein the personalized offer is determined based on one or more of a live dynamic user profile and a stored dynamic user profile, the personalized offer 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.

7. The method of claim 1 , wherein the providing, by one or more of the processors, the recommended offering to the user via the user's device further comprises: responsive to determining the recommended offering comprises multiple offerings, causing presenting of one offering while other offerings are stored in a memory queue, and responsive to receiving an indication to scroll through the multiple offerings, causing presenting of the other offerings stored in the memory queue.

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 a user's goal at the given time of the offering, the blending comprising:
determining an equivalent market segment based offer of the personalized offer, the equivalent market segment based offer determined as a summation of a multiplication of a quantity and a unit market segment price of all items included in the personalized offer, the unit market segment price of an item being a price at which customers can purchase the item without customer information, based on a market segment of the customers at the given time in a non-personalized segment based offer system; and
modifying the personalized offer based on the equivalent market segment based offer and one or more personalized offering rules, the modifying comprising: responsive to determining that a difference between the personalized offer and the equivalent market segment based offer exceeds a threshold, performing at least one: of removing the personalized offer, increasing a price of the personalized offer, removing a component element of the personalized offer, and adding a component element of the personalized offer, so that the difference is within the threshold; and

providing, by one or more of the processors, the recommended offering to the user via a user's device, the providing comprising:
activating the user's device to automatically connect to a product offeror's web site.

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 to activate the user's device to automatically connect to the 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 user can change over time and with each offering.

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

13. The computer readable storage medium of claim 8 , wherein the personalized offer is determined based on a dynamic customer profile, the personalized offer 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 recommended offering, the information comprising at least one or more of loyalty program data, sales transaction data, click-stream data, social media activity data.

14. The computer readable storage medium of claim 8 , wherein the providing, by one or more of the processors, the recommended offering to the user via the user's device further comprises: responsive to determining the recommended offering comprises multiple offerings, causing presenting of one offering while other offerings are stored in a memory queue, and responsive to receiving an indication to scroll through the multiple offerings, causing presenting of the other offerings stored in the memory queue.

15. A system of determining real-time individualized offering, compris

Assignees

• IBM

Inventors

• Ettl Markus R
• Oh Sechan
• Pinchuk Steven G

Classifications

• G06Q30/0204

  Market segmentation · CPC title

• G06Q30/0226

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

• G06Q30/0239

  Online discounts or incentives · CPC title

• G06Q30/02 Primary

  Marketing; Price estimation or determination; Fundraising · CPC title

• G06Q30/0224

  based on user history · CPC title