Machine learning model trained to predict conversions for determining lost conversions caused by restrictions in available fulfillment windows or fulfillment cost
US12008590B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 3, 2023 |
| Grant date | Jun 11, 2024 |
| Priority date | — |
| Expiry date | Jan 3, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0633
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
An online concierge system trains a machine learning conversion model that predicts a probability of receiving an order from a user when the user accesses the online concierge system. The conversion model predicts the probability of receiving the order based on a set of input features that include price and availability information. For each access to the online concierge system, the online concierge system applies the conversion model to a current price and availability and to an optimal price availability. The online concierge system generates a metric as the difference between the two predicted probabilities of receiving an order.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.