Methods and systems for controlling access to resources. Receiving, at a server from user devices, requests associated with a resource. Transmitting, by the server to the user devices, tickets associated with the requests, each ticket associated with a respective one of a plurality of groups, the groups identifying requests received in successive windows of time. Receiving, at the server from one of the user devices, a subsequent request, the subsequent request identifying one of the tickets previously transmitted to that user device. Determining that the identified one of the tickets should be accepted and the subsequent request should be serviced.

Systems, methods, and media for picking-up and delivering products are disclosed. Some embodiments route shoppers to acquire products for multiple customers orders from multiple suppliers using a variety of transportation modes. The transportation modes may differing maximum weight carrying and volume carrying capacities, maximum vehicle speeds. Moreover, some embodiments may account for a different number vehicles for each transportation mode and may further account for the availability of shoppers and vehicles.

Disclosed herein are embodiments of systems, methods, and products comprises an analytic server for aggregating and displaying all the electronic requests on one merchant device. The analytic server receives a plurality of electronic messages corresponding to a plurality of electronic requests from a plurality of service provider computers. The analytic server executes an extraction protocol to extract the order data within each electronic messages and stores the extracted data into a database. The analytic server generates a machine-readable file for each merchant comprising all the order records for the same merchant received from different third-party service provider computers. The analytic server transmits the machine-readable file to the merchant computing device, which populates a GUI according to the machine-readable file. Because all the orders are in one spot, the merchant may manage the orders, perform statistical calculations, and generate sales reports more efficiently.

A system and method for order fulfillment includes receiving an order for a plurality of items, initiating collection of the plurality of items for the order, detecting presence of a user at a selected one of a plurality of delivery locations when the plurality of items are ready for delivery, and initiating delivery of the items to the user at the selected delivery location.

A system comprising one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform: receiving a plurality of orders comprising one or more items associated with a plurality of retail stores; separating the plurality of orders by a plurality of load numbers; generating, using an optimization algorithm, a plurality of rebatched orders; sorting the one or more items within the plurality of rebatched orders by sequence numbers; and transmitting the one or more items within the plurality of rebatched orders, as sorted, to a plurality of user devices for filling each respective one of the number of containers with the one or more items within the plurality of rebatched orders. Other embodiments are described.

A POS device includes a transmission unit. When a guest purchasing a product entity displayed as a product of priority sales in a store is not a guest who requests the priority sales, the transmission unit transmits, to a terminal of a clerk, an instruction for displaying another entity of the corresponding product.

In B2B purchasing, ordering is proposed wherein a customer can buy directly from a supplier website without logging into their own E-procurement system. In one embodiment, the supplier website generates a customized purchase order (PO) for submission to a third-party's purchasing system based upon purchases made by the customer. The purchasing system sends an acknowledgement, and the supplier can proceed to fulfil the order.

Example embodiments are directed to systems and method to facilitate omnichannel retailing. A networked system determines a location of the user device within a store and accesses a map of the store. An item from a list of one or more items is identified, whereby the item has a plurality of locations within the store. A first location of the item from the plurality of locations is selected. The networked system causes display, on a user interface on the user device, of the location of the user device and the first location of the item and causes display of a user interface element that is operable to receive user selection of a different location from the plurality of locations. In response to receiving the user selection, the networked system ceases display of the first location on the map and causes display of the different location on the map.

Methods, computer readable media, and devices for predictive product availability for grocery delivery are presented. A method may include determining a shopping location and a future delivery window. A predicted availability of one or more grocery product items may be generated based on the location and delivery window. If the predicted availability of the items exceeds a threshold, the items may be presented to a user for selection as part of an order. If the predicted availability of the items does not exceed a threshold, alternative shopping locations and/or alternative future delivery windows may be presented to the user for selection. A machine learning algorithm may be implemented to generate the predicted availability of the one or more grocery product items, the one or more alternative shopping locations, and/or the one or more future delivery windows.

The present disclosure provides a computerized method item correlation including: receiving an indication of an order comprising at least one item; determining if the order is urgent based on an amount of time remaining until the items must ship to a customer; determining a location of each of a plurality of pickers; iteratively, for items in the order: identifying a picker closest to the item, the picker having a current job priority; correlating the closest picker and the item in a data structure; re-correlating, in the data structure, at least one item previously correlated with the closest picker to an alternate picker in response to the current job priority not being urgent; sending, to a user device of the closest picker, a location and item identifier associated with the item; and storing, in the data structure, a completion flag in correlation with the item upon receipt of an item-complete message.