Abstract: A system is provided and generally includes a server (e.g., application server), an associate computing device, and a client computing device. The server can receive a user arrival notification that indicates a user has arrived to pick up purchased goods. The server can transmit a scan initiation request to a remote terminal that causes the remote terminal to scan at least one network. The server can receive scan data for the scanned network from the remote terminal indicating, for example, a signal strength of that network. The server can determine a current wait time based on the received scan data for the scanned network, and can transmit the current wait time to the remote terminal.

Abstract: A system and method includes a computer network system configured to provide output to a plurality of distribution centers for a retailer, an inputting system configured to allow ordering of a quantity of an item from a vendor having a minimum order quantity (MOQ) and vendor pack size for the item, an allocation system configured to allocate the order quantity based on an allocation policy including specific distribution centers and allocation percentages associated with the specific distribution centers, and an inventory allocation tool (IAT) configured to receive the allocation policy, order quantity, MOQ, and vendor pack size as inputs, optimizes distribution of the order quantity among the specific distribution centers so that MOQ and vendor pack size according to the allocation policy are respected, and outputs an executable purchase order over the computer network system for each specific distribution center.

Abstract: A historical-data module may retrieve historical prices and/or sales numbers for products at a presently-relevant, historical reference time and at other times in an interval encompassing the reference time. A comparison module may generate relative price values and/or sales-number values by comparing prices and/or sales numbers at the reference time to those at other times in the interval for various products. A selection module may select a subset of products with a favorable weighted combination of relative price values and/or sales-number values for a product report presented over a communication network, potentially with a graph of historical prices for the products. Information about a viewer of the product report may further tailor the report. Viewer information may include signals of product interest identified in social-networking posts by natural language processing, viewer search and/or purchase data, the viewer's relations in a social graph of a social networking platform, and/or geo-targeting.

Abstract: Categories of items are dynamically generated by analyzing purchasing habits across multiple customers. Product categories showing affinity one with another are grouped together and offered to customers as a bundle. Particular items within bundled categories are selected by analyzing purchasing habits with respect to various customer demographic profile habits.