Machine learning model for predicting wait times to receive orders at different locations

US12354123B2 · kind B2 · utility

Assignee

• Maplebear Inc. · US

Inventors

• Radhika Anand · Sunnyvale, US
• Ajay Pankaj Sampat · San Francisco, US
• Caleb Grisell · Los Angeles, US
• Youdan Xu · Burlingame, US
• Krishna Kumar Selvam · San Francisco, US
• Bita Tadayon · Dallas, US

Key dates

• Filing date: Dec 14, 2022
• Grant date: Jul 8, 2025
• Expiry date: Jun 29, 2043

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q30/0639
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

Techniques for predicting a wait time for a shopper based on a location the shopper's client device are presented. A system identifies a shopper's current location and uses a machine learning model to predict a wait time until the shopper will receive one or more orders. The machine learning model is trained to use input features including a number of orders received during a current time period for fulfillment near the current location, a number of other shoppers available for fulfilling orders during the current time period near the current location, historical information about a presentation of a plurality of orders to a plurality of shoppers near the current location, and historical information about the shopper and the other nearby available shoppers. The system then sends the predicted wait time to the client device for presentation to the shopper.