Maplebear Inc.

Graham Adeson

Ganesh Krishnan

Aman Jain

Radhika Anand

Michael Righi

Amy Luong

Ross Stuart Williams

Michael Chen

Krishna Kumar Selvam

Ajay Pankaj Sampat

Dylan Wang

Tahmid Shahriar

Mouna Cheikhna

Joseph Cohen

An online concierge system iteratively makes a batch of one or more orders available to an increasing number of shoppers to choose to fulfill. Each shopper may choose to accept or reject a batch for fulfillment. To improve batch acceptance and matching between batches and shoppers, the batches are scored with respect to expected resource costs, likelihood of acceptance by the shopper, and/or other quality metrics to iteratively offer the batch to an increasing number of shoppers (prioritizing the scoring factors) until a shopper accepts. The number of shoppers notified of the batch and the frequency that additional shoppers are selected may vary based on characteristics of the batch and likelihood the batch will be accepted by a shopper.

Iterative order availability for an online fulfillment system

For each retailer in the geographic region, an online system predicts a number of orders placed at the retailer and a capacity to fulfill orders during a forecast time period. The capacity of the retailer is predicted based on a number of pickers expected to be available to the retailer during the forecast time period. The online system determines demand for the services of a picker at the retailer based on a comparison of the predicted number of orders and the predicted capacity to fulfill those orders. The online system displays a user interactive map of the geographic region to the picker. The map displays a pin at the location of each retailer in the geographic region, which describes the categorization determined for the retailer. The picker selects a pin, which causes the user interactive map to display a notification characterizing the demand for services at the retailer.

Methods and non-transitory computer readable storage medium for showing availability of orders for concierge shopping service

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San Francisco, CA, United States of America

Graham Adeson