Building an AI Economy That Includes Everyone
“What we’re seeing is that accessibility-driven design often solves a broader problem. It’s not charity. It’s engineering.”
- By Avi Gopani
Tony Xu used to deliver Dominos pizzas from door to door. Today, he is the CEO and co-creator of one of the top AI-driven food delivery apps in the US, DoorDash. Not to mention the poster boy of the American dream.
The platform leverages machine learning to solve the last mile connectivity challenges of local businesses. “DoorDash at the end of the day has to be a phenomenal measurement and data business,”said Tony Xu.
Let’s take a look at the many ways DoorDash uses AI.
Logistics
DoorDash uses ML algorithms to provide accurate data and mixed-integer programming or reinforcement learning to strengthen their reward maximisation system. “Between the merchants and dashers, it's the core dispatch problem- how do we match the right set of dashers to the right set of me
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Avi Gopani
Avi Gopani is a technology journalist that seeks to analyse industry trends and developments from an interdisciplinary perspective at Analytics India Magazine. Her articles chronicle cultural, political and social stories that are curated with a focus on the evolving technologies of artificial intelligence and data analytics.
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