METHOD AND SYSTEM FOR INVENTORY AVAILABILITY PREDICTION

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.