Abstract: Example online payment systems and methods are described. In one implementation, a method generates a list of a plurality of candidate items that can be associated to a base item to form a plurality of bundles. The method also displays the list of candidate items to the user in a ranked order.

Abstract: Various examples of methods and systems for providing shopping suggestions to in-store customers are described. In one implementation, a method may analyze store information specific to a store and customer information associated with a customer. The method may also identify one or more items as recommendation for the customer based on the analyzing. The method may further indicate the one or more items on a map of the store.

Abstract: Various examples of methods and systems for providing shopping suggestions to in-store customers are described. In one implementation, a method may analyze store information specific to a store and customer information associated with a customer. The method may also identify one or more items as recommendation for the customer based on the analyzing. The method may further indicate the one or more items on a map of the store.

Abstract: Various examples of methods and systems for in-store fulfillment prioritization based on customer location are described. In one implementation, a method may receive a first order from a first customer for in-store pickup of a first item by the first customer at a store. The first item may include a product or a service. The method may also determine a location of the first customer. The method may further prioritize fulfillment of a plurality of orders for in-store pickup based at least in part on the location of the first customer. The plurality of orders may include the first order and at least a second order for in-store pickup of a second item. The method may additionally execute a human resources logistics algorithm to predict the number of store associates required in order to service the plural orders in view of changes to the orders.

Abstract: Various examples of methods and systems for recognition of in-store customers are described. In one implementation, a method may receive first information related to identification of a first customer prior to the first customer visiting a store. The method may also receive second information related to identification of a second customer when the second customer visits the store. The method may further determine whether the second customer is the first customer based on the first information and the second information. The method may additionally provide the first information related to identification of the first customer to one or more computing devices in response to a positive determination that the second customer is the first customer.

Abstract: Example online payment systems and methods are described. In one implementation, a method generates a list of a plurality of candidate items that can be associated to a base item to form a plurality of bundles. The method also displays the list of candidate items to the user in a ranked order.