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Spotlight on data : How DoorDash solved the global optimality problem / with Gary Ren.
- Format:
- Video
- Author/Creator:
- Ren, Gary, on-screen presenter.
- Language:
- English
- Subjects (All):
- Customer relations--Management--Data processing.
- Customer relations.
- Restaurants--Marketing.
- Restaurants.
- Artificial intelligence.
- Machine learning.
- Real-time data processing.
- DoorDash (Firm).
- Physical Description:
- 1 online resource (1 streaming video file (59 min., 56 sec.)) : digital, sound, color
- Other Title:
- How DoorDash solved the global optimality problem
- Title on second title screen: How machine learning powers on-demand logistics at DoorDash
- Place of Publication:
- [Place of publication not identified] : O'Reilly Media, 2019.
- Summary:
- "The common algorithmic challenge for the current crop of marketplace companies is efficient matching between two sides of the marketplace. For DoorDash, which focuses on food delivery, this problem is even more difficult because of its three-sided marketplace, where the company must identify the optimal Dasher to fulfill a delivery from a restaurant and bring it to a consumer. At its core, this marketplace logistics problem is a core operations research problem called the vehicle routing problem. But DoorDash faces additional challenges: delivery requests come in in real time; most orders need to be delivered immediately; Dashers are in constant movement; and the effects of variance in restaurant operations and real-world events (traffic, weather, etc.) have pronounced effects on the solutions. Thus, finding global optimality in real time becomes intractable. To address these challenges, DoorDash leverages various AI techniques to intelligently model the decision space and achieve near-optimal solutions in seconds. In this Spotlight on Data, DoorDash's Gary Ren explains how his team defined the problem of modeling the marketplace and then implemented machine learning techniques to solve the marketplace matching problem."--Resource description page.
- Participant:
- Presenter, Gary Ren.
- Notes:
- Title from title screen (viewed July 27, 2020).
- Recorded December 11, 2019.
- OCLC:
- 1179144092
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