Abstract: Methods, systems, and platforms are described for digital placement and allocation planning. An unconstrained distribution of items in a retail supply chain may be determined from digital demand forecasts by aggregating the digital demand forecasts based on location identifiers. An item allocation ratio between shipping locations may be determined using a model based on items being ordered together and the speed of items being ordered. An unconstrained DPA plan may be generated, with the distribution and the ratio, for placing and allocating a projected total quantity. Constraints relating to the supply chain may be identified. In response to the constraints, a constrained distribution may be generated from an unconstrained distribution. A constrained plan may be generated in response to the constrained distribution. The unconstrained or constrained DPA plan may be sent to a plan executor for initiating movements of items according to the plan within the supply chain.

Abstract: Methods and systems for providing inventory availability information to a web server from a plurality of inventory servers and/or intermediate servers. Inventory availability information may be retrieved from different sources, depending on whether the item is considered a high-traffic item. A high-traffic item may be one, for example, that is extremely popular, of limited release, on sale, or has a limited inventory.

Abstract: Methods and systems for providing inventory availability information to a web server from a plurality of inventory servers and/or intermediate servers. Inventory availability information may be retrieved from different sources, depending on whether the item is considered a high-traffic item. A high-traffic item may be one, for example, that is extremely popular, of limited release, on sale, or has a limited inventory.