Machine learning assisted alerts for item picking
US12412151B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 30, 2023 |
| Grant date | Sep 9, 2025 |
| Priority date | — |
| Expiry date | Apr 5, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/022
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A machine-learned predictive model is trained to predict potential for customer complaint. The model is part of an online concierge system. The online concierge system accesses a customer order that includes one or more items. The online concierge system determines input data for an item of the one or more items. The online concierge system determines a prediction value associated with potential for customer complaint for the item by applying the machine-learned prediction model to the input data. The online concierge system provides the prediction value to a picker client device associated with a picker who is assigned the item. The picker client device presents an alert to the picker based in part on the prediction value, and the alert includes a message that is customized to mitigate a cause of potential customer complaint for the item.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.