Invention Grant
- Patent Title: Machine-learning system and print-queue based estimator for predicting wait times
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Application No.: US18588754Application Date: 2024-02-27
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Publication No.: US12026413B1Publication Date: 2024-07-02
- Inventor: Harsh Nigam , Michael J. Harlach , Zach A. Thieme , Shadi Hassani Goodarzi , Kelly L. Broad , Ross W. Marshall , John J. Schultz , Matthew A. Scheid , Chadwick C. Meyer , Omobolaotan O. Agbonile
- Applicant: STARBUCKS CORPORATION
- Applicant Address: US WA Seattle
- Assignee: Starbucks Corporation
- Current Assignee: Starbucks Corporation
- Current Assignee Address: US WA Seattle
- Agency: Kilpatrick Townsend & Stockton LLP
- Main IPC: G06F3/12
- IPC: G06F3/12
Abstract:
In one example, a system can receive an order from a client device. The system can also receive data about a set of print queues at a set of printers via a network. The system can then determine a set of queue times corresponding to the set of print queues. Each respective queue time can be determined based on a corresponding print queue. The system can generate an estimated wait time for the order based on the set of queue times. The system can then transmit the estimated wait time to the client device for display in a graphical user interface to a user associated with the order.
Information query
