Abstract: A method of training a machine learning model to promote an item is provided. Acceptance activity of a first entity is monitored and a determination of a first likelihood that the first entity accepts a future offer is made. The acceptance activity and the first likelihood are input as training data for the machine learning model for training purposes. An offer having an acceptance window and a characteristic is received from a second entity for a first item associated with the first entity. A second likelihood that the first entity will accept the offer is determined and an acceptance window is adjusted based on the determination. When the acceptance window closes, the method searches for a second item associated with a third entity based having the characteristic where an offer for the second item is sent to the second entity on behalf of the third entity.

Abstract: A system, method, and computer readable medium are provided to manage an inventory across multiple sales channels. A first set of items from an inventory is listed on a first sales channel according to a business rule. A second set of items from the inventory is listed on a second sales channel according to the business rule. Order events from the first sales channel and the second sales channel are tracked. The order events may indicate a transaction involving an item from the inventory. The business rule may be used to rebalance items still offered for sale on the first sales channel and the second sales channel.

Abstract: A method and system generate and manage marketplace listings. In some embodiments, the method receives product information from a catalog service. The method also receives a product listing request from the catalog service that identifies a product contained in the product information. The product listing request is generated by a distributor associated with the catalog service. The method accesses distributor data associated with the distributor initiating the product listing request and accesses a listing template associated with the product information. A marketplace listing is generated based on the product, the distributor data, and the listing template.

Abstract: A method and system generate and manage marketplace listings. In some embodiments, the method receives a product listing request from a catalog service that identifies a product associated with the catalog service. The product listing request is initiated by a distributor associated with the catalog service. The method identifies current listings for the product in a network-based marketplace and identifies completed listings for the product in the network-based marketplace. A price recommendation is generated for the product listing request based on the current listings and the completed listings.

Abstract: A method and a system to generate and manage an inventory are provided. The system may include a memory to store an inventory having a list of items owned by a consumer. An identification module may add an item to the inventory. A collection module may collect additional data about the added item. A tracking module may collect market data about the added item.