In-store shopper location-based gift idea determination

1. A computer-implemented method, executed by at least one processor of a gift inference server(s) set, the method comprising:

tracking, to identify a shopper merchandise proximity history of a shopper within at least one retail environment, triangulated movement and non-movement of a mobile device of the shopper among different locations within the at least one retail environment using a coordinated combination of mobile device global positioning system (GPS) information with detected triangulated proximity of the mobile device relative to a plurality of different retail environment low-energy communication devices;

forming, from the tracking of the triangulated movement and non-movement of the mobile device of the shopper among the different locations within the at least one retail environment, a shopper merchandise proximity history of the shopper comprising shopper proximity to items of merchandise, shopper dwell times near the items of merchandise, and merchandise visit counts;

determining that an item of merchandise included in the shopper merchandise proximity history meets at least one shopper merchandise threshold; and

providing, responsive to identifying within the shopper merchandise proximity history the item of merchandise that meets the at least one shopper merchandise threshold interest criterion, an electronic message that comprises a gift recommendation of the item of merchandise to at least one other user associated with and located remotely from the shopper.

2. The computer-implemented method of claim 1 , where the at least one processor of the gift inference server(s) set providing the electronic message that comprises the gift recommendation of the item of merchandise to the at least one other user associated with and located remotely from the shopper comprises the at least one processor of the gift inference server(s) set one of sending a push notification of the item of merchandise as the gift recommendation to the at least one other user associated with and located remotely from the shopper or adding the item of merchandise as a wish list item for the shopper.

3. The computer-implemented method of claim 1 , where the at least one shopper merchandise threshold interest criterion is selected from a group consisting of a threshold dwell time, a threshold dwell time percentage, a threshold number of shopping returns to items of merchandise, a threshold number of paired-shopper returns to items of merchandise, a combined impression threshold that comprises in-store shopping combined with online searching, and a multi-shopping trip number of shopper returns threshold.

4. The computer-implemented method of claim 1 , further comprising the at least one processor of the gift inference server(s) set:

providing a gift recommendation configuration user interface (UI) that allows one of the shopper and a retailer to adjust aspects of a gift recommendation policy that specifies the at least one shopper merchandise threshold interest criterion; and

automatically applying the gift recommendation policy to identify the item of merchandise in response to detecting one of a shopper adjustment and a retailer adjustment to an aspect of the gift recommendation policy using the gift recommendation configuration UI.

5. The computer-implemented method of claim 1 , further comprising the at least one processor of the gift inference server(s) set one of:

providing, in association with the electronic message that comprises the gift recommendation, an incentive to the at least one other user associated with and located remotely from the shopper to purchase the item of merchandise as a gift to the shopper; or

providing an additional electronic message to the shopper that identifies the item of merchandise.

6. The computer-implemented method of claim 1 , where the at least one processor of the gift inference server(s) set identifies within the shopper merchandise proximity history the item of merchandise that meets the at least one shopper merchandise threshold interest criterion as part of a service in a cloud environment.

7. A system, comprising:

a memory; and

at least one processor of a gift inference server(s) set programmed to:

track, to identify a shopper merchandise proximity history of a shopper within at least one retail environment, triangulated movement and non-movement of a mobile device of the shopper among different locations within the at least one retail environment using a coordinated combination of mobile device global positioning system (GPS) information with detected triangulated proximity of the mobile device relative to a plurality of different retail environment low-energy communication devices;

provide, responsive to identifying within the shopper merchandise proximity history an item of merchandise that meets at least one shopper merchandise threshold interest criterion, an electronic message that comprises a gift recommendation of the item of merchandise to at least one other user associated with and located remotely from the shopper;

provide a gift recommendation configuration user interface (UI) that allows one of the shopper and a retailer to adjust aspects of a gift recommendation policy that specifies the at least one shopper merchandise threshold interest criterion; and

automatically apply the gift recommendation policy to identify the item of merchandise in response to detecting one of a shopper adjustment and a retailer adjustment to an aspect of the gift recommendation policy using the gift recommendation configuration UI.

8. The system of claim 7 , where, in being programmed to provide the electronic message that comprises the gift recommendation of the item of merchandise to the at least one other user associated with and located remotely from the shopper, the at least one processor of the gift inference server(s) set is programmed to one of send a push notification of the item of merchandise as the gift recommendation to the at least one other user associated with and located remotely from the shopper or add the item of merchandise as a wish list item for the shopper.

9. The system of claim 7 , where the at least one shopper merchandise threshold interest criterion is selected from a group consisting of a threshold dwell time, a threshold dwell time percentage, a threshold number of shopping returns to items of merchandise, a threshold number of paired-shopper returns to items of merchandise, a combined impression threshold that comprises in-store shopping combined with online searching, and a multi-shopping trip number of shopper returns threshold.

10. The system of claim 7 , where the at least one processor of the gift inference server(s) set is further programmed to one of:

provide, in association with the electronic message that comprises the gift recommendation, an incentive to the at least one other user associated with and located remotely from the shopper to purchase the item of merchandise as a gift to the shopper; or

provide an additional electronic message to the shopper that identifies the item of merchandise.

11. The system of claim 7 , where the at least one processor of the gift inference server(s) set identifies within the shopper merchandise proximity history the item of merchandise that meets the at least one shopper merchandise threshold interest criterion as part of a service in a cloud environment.