Predicting shopper supply during a time interval based on interactions by shoppers with a shopper assignment application during earlier time intervals
US12265933B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 28, 2022 |
| Grant date | Apr 1, 2025 |
| Priority date | — |
| Expiry date | Apr 19, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/04
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
An online concierge system assigns shoppers to fulfill orders from users. To allocate shoppers, the online concierge system predicts future supply and demand for the shoppers' services for different time windows. To forecast a supply of shoppers, the online concierge system trains a machine learning model that estimates future supply based on access to a shopper mobile application through which the shoppers obtain new assignments by shoppers. The online concierge system also forecasts future orders. The online concierge system estimates a supply gap in a future time period by selecting a target time to accept for shoppers to accept orders and determining a corresponding ratio of number of shoppers and number of orders. The online concierge system may adjust a number of shoppers allocated to the future time period to achieve the determined ratio number of shoppers and number of orders.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.