AI in Wholesale addresses primarily the volume of repetitive administration. The greatest saving usually comes from automatic processing of incoming orders, which arrive in dozens of different formats – by email, in a spreadsheet, in message text – and their conversion into the system without manual re-typing. The second area is working with product data: unifying and completing catalogues from various suppliers, translating descriptions and matching items by parameters, which is otherwise unmanageable with thousands of products. The third is demand prediction and inventory management with regard to delivery times and seasonality. In addition, it is used to prepare individual price quotes according to a customer's pricing tier and to identify which customers have stopped ordering. The condition is order in the item master data.
See also: Product feed, AI in Logistics, AI use case.
