首页|Researchers Submit Patent Application, 'Trained Machine Learning Models For Pred icting Replacement Items Using Expiration Dates', for Approval (USPTO 20240289855)
Researchers Submit Patent Application, 'Trained Machine Learning Models For Pred icting Replacement Items Using Expiration Dates', for Approval (USPTO 20240289855)
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News editors obtained the following quote from the background information suppli ed by the inventors: “In current online concierge systems, pickers (e.g., shoppe rs) fulfill orders at a physical warehouse, such as a retailer, on behalf of cus tomers as part of an online shopping concierge service. The pickers of the onlin e shopping concierge service may be sent to various warehouses with instructions to fulfill orders for items, and the pickers then locate the items included in the customer’s order in the warehouse. Item inventory at a warehouse may fluctua te throughout a day or week, so a picker may be unable to find an item ordered b y a customer at the warehouse. In such situations, an online shopping concierge service may prompt a customer to identify a replacement item for the original it em. For example, the online shopping concierge system may identify multiple repl acement items for the unavailable item and prompt the customer to select one of the suggested items as a replacement. The customer may accept one of the suggest ed items as a replacement and receive delivery of the order along with the repla cement item.
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