Selectively providing machine learning model-based services
US12354056B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 26, 2022 |
| Grant date | Jul 8, 2025 |
| Priority date | — |
| Expiry date | Nov 10, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0617
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
An online concierge system provides arrival prediction services for a user placing an order to be retrieved by a shopper. An order may have a predicted arrival time predicted by a model that may err under some conditions. To reduce the likelihood of providing the predicted arrival time (and related services) when the arrival time may be incorrect, the prediction model and related services are throttled (e.g., selectively provided) based on one or more predicted delivery metrics, which may include a time to accept the order by a shopper and a predicted portion of late orders that will be delivered past the respective predicted arrival times. The predicted delivery metrics are compared with thresholds and the result of the comparison used to selectively provide, or not provide, the predicted delivery services.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.