Zi Jiao Wang

20230034221, Feb 2, 2023

Jul 29, 2021

17/389281

- San Francisco CA, US
Ji Chen - Mountain View CA, US
Zi Wang - Mountain View CA, US
Soren Zeliger - Oakland CA, US
Ganesh Krishnan - San Francisco CA, US
Wa Yuan - Alameda CA, US
Michael Scheibe - San Francisco CA, US

G06Q 30/02
G06Q 30/06
G06Q 10/06
G06N 20/00
G06N 5/04

An online concierge system allows users to order items within discrete time intervals later than a time when an order was received or for short-term fulfillment when the order was received. To account for a number of shoppers available to fulfill orders during different discrete time intervals and numbers of orders for fulfillment during different discrete time intervals, the online concierge system specifies a target rate for orders fulfilled later than a specified discrete time interval and a threshold from the target rate. A trained machine learning model periodically predicts a percentage of orders being fulfilled late, with an order associated with a predicted percentage when the order was received. The online concierge system increases a price of orders associated with predicted percentages greater than the threshold from the target rate. The increased price of an order is determined from a price elasticity curve and the predicted percentage.

20200409543, Dec 31, 2020

Jun 28, 2019

16/456097

- Redmond WA, US
Zi Wang - Mountain View CA, US
Fermin Simeon - San Jose CA, US
Albert Ho - Sunnyvale CA, US
Viktar Starynski - Sunnyvale CA, US
Peng Yuan - San Francisco CA, US
Giathang Dao - Fremont CA, US

G06F 3/0484
G06F 9/54
G06F 9/451

Methods, systems, and computer programs are presented for implementing configurable processing of data by an enterprise platform. One method includes an operation for receiving via an Application Programming Interface (API) of a frontend of an enterprise platform, a configuration file for configuring a custom property. Further, the method includes identifying services in a backend of the enterprise platform for implementing the custom property by the enterprise platform, the services comprising a storage service for storing values of the custom property. The method further includes operations for configuring program handlers for the custom property in the identified services, and for receiving a request, via the API of the frontend, to present a user interface (UI) for setting a value of the custom property. A presentation of the custom property is set in the UI based on the configuration of the custom property, and the UI is presented on a display.