Video description
DoorDash is a last-mile delivery platform, and its logistics engine powers fulfillment of every delivery on its three-sided marketplace of consumers, Dashers, and merchants. Raghav Ramesh highlights AI techniques used by DoorDash to enhance efficiency and quality in its marketplace and provides a framework for how AI can augment core operations research problems like the vehicle routing problem.
Table of contents
Product information
- Title: How DoorDash leverages AI in its world-class on-demand logistics engine
- Author(s):
- Release date: June 2019
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 0636920451785
You might also like
video
How machine learning powers the Uber infrastructure
From determining the most convenient rider pickup points to predicting the fastest routes, Uber uses data-driven …
video
How Wells Fargo uses AI and natural language processing in chatbots to interact with customers
Chatbots are having a moment, and banks across the world are utilizing them for everything from …
video
How Uber uses machine learning and deep learning to forecast business
Andrea Pasqua investigates the merits of using deep learning and other machine learning approaches in the …
video
Applied machine learning in finance - 2019 Artificial Intelligence Conference, New York
Quantitative finance is a rich field in finance where advanced mathematical and statistical techniques are employed …