Generating a range of estimated fulfillment times for an order based on characteristics of an order
US12033109B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 27, 2023 |
| Grant date | Jul 9, 2024 |
| Priority date | — |
| Expiry date | Feb 27, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/087
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
An online concierge system delivers items from retailers to customers. The online concierge predicts a range of times during which an order may be fulfilled for presentation to a user. The online concierge system uses a trained maximum time prediction model to determine a maximum time for order fulfillment based on an order. A trained minimum time prediction model determines a minimum time for order fulfillment from the order and the maximum time. The minimum time may account for one or more rules (e.g., a percentage of orders fulfilled before the minimum time, a desired rate of selection of a range including the minimum time). A range bounded by the maximum time and the minimum time is transmitted to a customer to enable the customer to select a time interval for order fulfillment.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.