Machine learning model for determining a time interval to delay batching decision for an order received by an online concierge system to combine orders while minimizing probability of late fulfillment
US12373880B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 4, 2023 |
| Grant date | Jul 29, 2025 |
| Priority date | — |
| Expiry date | Dec 4, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An online concierge identifies orders to shoppers, allowing shoppers to select orders for fulfillment. The online concierge system may generate batches that include multiple orders, allowing a shopper to select a batch to fulfill multiple orders. As orders are continuously being received, delaying identification of orders to shoppers may allow greater batching of orders. To allow greater opportunities for batching, the online concierge system estimates a benefit for delaying identification of an order by different time intervals and predicts an amount of time to fulfill the order. The online concierge system then delays assigning orders for which there is a threshold benefit for delaying and selects a time interval for delaying identification of the order that does not result in greater than a threshold likelihood of a late fulfillment of the order.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.