System and method of consolidated delivery of orders from multiple stores
A system and method are disclosed for consolidating orders for fulfillment. The method includes detecting that a shopper has arrived at a shopping mall, determining and predicting items or orders that the shopper is expected to pick up or likely to purchase during a current visit to the shopping mall, determining whether the shopper is expected to participate in one or more other non-shopping activities in the shopping mall, and determining a predicted exit time of the shopper from the shopping mall, in response to determining that the shopper is expected to carry at least one bag, determining a consolidated pickup or delivery service for the items or the orders, and offer the consolidated pickup or delivery service to the shopper. The method further includes where detecting the shopper arrival is based on one or more of: smartphone location, calendar data, a manual input and the shopper's first order.
1 . A system, comprising:
a computer, comprising a processor and a memory, the computer configured to:
detect that a shopper has arrived at a physical shopping mall based on facial recognition of the shopper from one or more cameras within the physical shopping mall;
determine and predict one or more items or one or more orders that the shopper is expected to pick up or likely to purchase during a current visit to the physical shopping mall;
determine whether the shopper is expected to participate in one or more other non-shopping activities in the physical shopping mall, and determine a predicted exit time of the shopper from the physical shopping mall;
in response to determining that the shopper is expected to carry at least one bag, determine a consolidated pickup service or a delivery service for the one or more items or the one or more orders; and
offer, by a user interface module to a mobile device of the shopper before the predicted exit time, the determined consolidated pickup service or the determined delivery service to the shopper.
2 . The system of claim 1 , wherein the detecting that the shopper has arrived at the physical shopping mall is based on, at least in part, one or more of:
active location services of a smartphone of the shopper, calendar data of the shopper, a manual input from the shopper and a first order made by the shopper at the physical shopping mall.
3 . The system of claim 1 , wherein the determining and the predicting the one or more items or the one or more orders are based on, at least in part, one or more of:
a purchase history of the shopper, internet of things data associated with the shopper, a calendar of the shopper, a profile of the shopper, a wish list of the shopper and one or more messages of the shopper.
4 . The system of claim 1 , wherein the determining whether the shopper is expected to participate in one or more other non-shopping activities in the physical shopping mall, and the determining a predicted exit time of the shopper from the physical shopping mall are based on, at least in part, one or more of:
shopper data, purchase history, internet of things data, calendar data, a profile of the shopper and one or more messages of the shopper.
5 . The system of claim 1 , wherein the determining the consolidated pickup service or the delivery service is based on, at least in part, one or more of:
characteristics of a parking lot of the physical shopping mall, one or more types of the one or more items purchased or the one or more orders purchased and a resource capacity of the shopping mall.
6 . The system of claim 1 , further comprising:
one or more pickup bins set up for pickup or delivery of the one or more items or the one or more orders.
7 . The system of claim 1 , wherein the computer is further configured to:
offer, by a user interface module, the determined consolidated pickup service or the determined delivery service to the shopper based on, at least in part, the date of availability of the one or more items or the one or more orders.
8 . A computer-implemented method, comprising:
detecting, by a computer comprising a processor and a memory, that a shopper has arrived at a physical shopping mall based on facial recognition of the shopper from one or more cameras within the physical shopping mall;
determining and predicting, by the computer, one or more items or one or more orders that the shopper is expected to pick up or likely to purchase during a current visit to the physical shopping mall;
determining, by the computer, whether the shopper is expected to participate in one or more other non-shopping activities in the physical shopping mall, and determine a predicted exit time of the shopper from the physical shopping mall;
in response to determining that the shopper is expected to carry at least one bag, determining, by the computer, a consolidated pickup service or a delivery service for the one or more items or the one or more orders; and
offering, by a user interface module to a mobile device of the shopper before the predicted exit time, the determined consolidated pickup service or the determined delivery service to the shopper.
9 . The computer-implemented method of claim 8 , wherein the detecting that the shopper has arrived at the physical shopping mall is based on, at least in part, one or more of:
active location services of a smartphone of the shopper, calendar data of the shopper, a manual input from the shopper and a first order made by the shopper at the physical shopping mall.
10 . The computer-implemented method of claim 8 , wherein the determining and the predicting the one or more items or the one or more orders are based on, at least in part, one or more of:
a purchase history of the shopper, internet of things data associated with the shopper, a calendar of the shopper, a profile of the shopper, a wish list of the shopper and one or more messages of the shopper.
11 . The computer-implemented method of claim 8 , wherein the determining whether the shopper is expected to participate in one or more other non-shopping activities in the physical shopping mall, and the determining, by the computer, a predicted exit time of the shopper from the physical shopping mall are based on, at least in part, one or more of:
shopper data, purchase history, internet of things data, calendar data, a profile of the shopper and one or more messages of the shopper.
12 . The computer-implemented method of claim 8 , wherein the determining the consolidated pickup service or the delivery service is based on, at least in part, one or more of:
characteristics of a parking lot of the physical shopping mall, one or more types of the one or more items purchased or the one or more orders purchased and a resource capacity of the shopping mall.
13 . The computer-implemented method of claim 8 , further comprising:
providing one or more pickup bins set up for pickup or delivery of the one or more items or the one or more orders.
14 . The computer-implemented method of claim 8 , further comprising:
offering, by a user interface module, the determined consolidated pickup service or the determined delivery service to the shopper based on, at least in part, the date of availability of the one or more items or the one or more orders.
15 . A non-transitory computer-readable medium embodied with software, the software when executed is configured to:
detect, by a computer comprising a processor and a memory, that a shopper has arrived at a physical shopping mall based on facial recognition of the shopper from one or more cameras within the physical shopping mall;
determine and predict one or more items or one or more orders that the shopper is expected to pick up or likely to purchase during a current visit to the physical shopping mall;
determine whether the shopper is expected to participate in one or more other non-shopping activities in the physical shopping mall, and determine a predicted exit time of the shopper from the physical shopping mall;
in response to determining that the shopper is expected to carry at least one bag, determine a consolidated pickup service or a delivery service for the one or more items or the one or more orders; and
offer, by a user interface module to a mobile device of the shopper before the predicted exit time, the determined consolidated pickup service or the determined delivery service to the shopper.
16 . The non-transitory computer-readable medium of claim 15 , wherein the detecting that the shopper has arrived at the physical shopping mall is based on, at least in part, one or more of:
active location services of a smartphone of the shopper, calendar data of the shopper, a manual input from the shopper and a first order made by the shopper at the physical shopping mall.
17 . The non-transitory computer-readable medium of claim 15 , wherein the determining and the predicting the one or more items or the one or more orders are based on, at least in part, one or more of:
a purchase history of the shopper, internet of things data associated with the shopper, a calendar of the shopper, a profile of the shopper, a wish list of the shopper and one or more messages of the shopper.
18 . The non-transitory computer-readable medium of claim 15 , wherein the determining whether the shopper is expected to participate in one or more other non-shopping activities in the physical shopping mall, and the determining a predicted exit time of the shopper from the physical shopping mall are based on, at least in part, one or more of:
shopper data, purchase history, internet of things data, calendar data, a profile of the shopper and one or more messages of the shopper.
19 . The non-transitory computer-readable medium of claim 15 , wherein the determining the consolidated pickup service or the delivery service is based on, at least in part, one or more of:
characteristics of a parking lot of the physical shopping mall, one or more types of the one or more items purchased or the one or more orders purchased and a resource capacity of the shopping mall.
20 . The non-transitory computer-readable medium of claim 19 , wherein the software when executed is further configured to:
offer, by a user interface module, the determined consolidated pickup service or the determined delivery service to the shopper based on, at least in part, the date of availability of the one or more items or the one or more orders.