Method and system for inventory availability prediction

Patent metadata

Field	Value
Publication number	US-2017178221-A1
Application number	US-201515305071-A
Country	US
Kind code	A1
Filing date	Mar 27, 2015
Priority date	Apr 30, 2014
Publication date	Jun 22, 2017
Grant date	—

Abstract

Implementations of the present disclosure disclose a method and system for inventory availability prediction. According to one implementation, a request for inventory availability of a desired item is received from a subscriber. Furthermore, a predicted availability of the desired item is calculated based on inventory assessment data. In addition, an optimum purchase timing is determined based on the predicted availability of the item and then provided to the subscriber.

First claim

What is claimed is:

1 . A computer-implemented method for inventory availability prediction comprising:
receiving an inventory availability request from a subscriber for a desired item; calculating a predicted availability based on inventory assessment data; determining an optimum purchase timing based on the predicted availability of the item; and providing the optimum purchase timing to the subscriber.

2 . The method of claim 1 , further comprising:
analyzing social media data associated with the target item; and calculating a predicted purchase rate for the item based on the analysis of social media.

3 . The method of claim 2 , wherein the optimum purchase timing is based on the predicted availability and predicted purchase rate of the desired item.

4 . The method of claim 1 , further comprising:
receiving a request for active notification of information associated with the desired item; and notifying the user of a predicted availability upon the predicted availability reaching a predetermined threshold.

5 . The method of claim 1 , wherein the inventory data includes the current transaction information, historical transactional information, and the rate of inventory allocation of the item.

6 . The method of claim 1 , wherein the calculation of the predicted availability is performed in real-time.

7 . A system for inventory availability prediction comprising:
a subscriber associated with a desired item; an inventory assessment engine to store inventory data associated with the desired item; and an inventory prediction engine to calculate a predicted availability of the desired item based on the inventory data and determine an optimum purchase timing based on the predicted availability, wherein the inventory prediction engine provides the optimum purchase timing to the subscriber.

8 . The system of claim 7 , further comprising:
an inventory notification engine to notify a subscriber of the predicted availability of the desired item.

9 . The system of claim 7 , wherein a predicted purchase rate of the desired item is computed based on analysis of social media information associated with the target item.

10 . The system of claim 9 , wherein the optimum purchase timing is determined based on the predicted availability and predicted purchase rate of the desired item.

11 . The system of claim 7 , wherein the inventory data includes the current transaction information, historical transactional information, and the rate of inventory allocation of the item.

12 . The system of claim 7 , wherein the inventory prediction engine proactively notifies subscribers of the predicted availability of an item previously purchased by said subscriber.

13 . A non-transitory computer readable medium for inventory allocation prediction having programmed instructions stored thereon for causing a processor to:
receive an inventory availability request from a subscriber for a desired item; calculate a predicted availability based on inventory assessment data; analyzing social media data associated with the target item calculating a predicted purchase rate for the item based on the analysis of social media determine an optimum purchase timing based on the predicted availability and predicted purchase rate of the item; and provide the optimum purchase timing to the subscriber.

14 . The non-transitory computer readable medium of claim 13 , wherein the programmed instructions stored thereon further cause the processor to:
receive a request for active notification of information associated with the desired item; and notify the user of a predicted availability upon the predicted availability reaching a predetermined threshold.

15 . The non-transitory computer readable medium of claim 14 , wherein the programmed instructions stored thereon further cause the processor to:
proactively notify a subscriber of the predicted availability of an item previously purchased by said subscriber.

Assignees

• Hewlett Packard Entpr Dev Lp

Inventors

• Mccorry Kieran
• Bijaoui Pierre

Classifications

• G06Q10/40

  Business processes related to social networking or social networking services · CPC title

• G06Q30/0202

  Market predictions or forecasting for commercial activities · CPC title

• G06Q10/087

  Inventory or stock management, e.g. order filling, procurement or balancing against orders · CPC title

• G06Q10/02

  Reservations, e.g. for tickets, services or events · CPC title

• G06Q30/0631 Primary

  Recommending goods or services · CPC title