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title: Building an Autonomous Delivery Experience with DoorDash...
description: DoorDash co-founders Andy Fang and Stanley Tang discuss the company's AI and robotics ambitions. They cover 'Ask DoorDash,' a natural language ordering feature...
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og:description: DoorDash co-founders Andy Fang and Stanley Tang discuss the company's AI and robotics ambitions. They cover 'Ask DoorDash,' a natural language ordering feature...
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# Building an Autonomous Delivery Experience with DoorDash Co-Founders Andy Fang and Stanley Tang

**[No Priors: AI, Machine Learning, Tech, & Startups](https://daily.dev/sources/nopriorspodcast)** · 49 min read · 1 upvotes · 0 comments

## Summary

DoorDash co-founders Andy Fang and Stanley Tang discuss the company's AI and robotics ambitions. They cover 'Ask DoorDash,' a natural language ordering feature showing 50% of users ordering from new restaurants and 40% larger grocery basket sizes. They detail DOT, their in-house autonomous delivery robot (300 lbs, 20 mph, L4 autonomy) operating in Phoenix for over two years, explaining why they built it themselves after finding no existing robot fit their 3-5 mile suburban delivery use case. They discuss the challenges of scaling real-world robotics (edge cases, fleet operations, hardware manufacturing), their data advantages from 10 billion deliveries, the DoorDash CLI for agent-first commerce, and their internal AI benchmarking tool Dashbench. Their view is that autonomy will supplement rather than replace Dashers as demand grows.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=vNpcg_Ma-FA>

## Questions this post answers

### What is DoorDash's DOT autonomous delivery robot and what are its specs?

DOT is DoorDash's in-house-built autonomous delivery robot, weighing 300 pounds and traveling up to 20 mph, about one-tenth the size of a car. It is designed to drive on sidewalks, bike lanes, and roads rather than just sidewalks, and operates fully autonomously (L4) in Phoenix, where it has been delivering for almost two years.

_Teams evaluating autonomous delivery or robotics approaches can follow real deployment details like this on daily.dev._

### How is DoorDash's Ask DoorDash natural language ordering feature changing user behavior?

Fifty percent of restaurant order trajectories through Ask DoorDash come from people ordering from places they have never ordered from before, a metric that was historically hard to move. On the grocery side, basket sizes are about 40% larger, driven by use cases like photographing a fridge to get restocking suggestions or planning a meal around dietary constraints.

_Anyone tracking how conversational AI reshapes e-commerce ordering can follow cases like this on daily.dev._

### Why didn't DoorDash use existing sidewalk robots or robotaxis for autonomous delivery instead of building its own robot?

Sidewalk robots travel only 2-3 mph, far too slow for DoorDash's typical 3-5 mile deliveries within a 15-minute window, while robotaxis are 4,000-pound vehicles built for carrying people, not a couple of burritos, and can't solve the last-100-feet pickup/drop-off problem at a merchant's door or a customer's driveway. DoorDash decided the right form factor was an autonomous motorcycle/scooter-profile vehicle around 300 pounds going 20-25 mph.

_Engineers weighing build-versus-partner tradeoffs in autonomy can dig into real-world decisions like this on daily.dev._

## Similar posts on daily.dev

- [DoorDash’s Tony Xu says AI agents will increase demand for human labour](https://daily.dev/posts/doordash-s-tony-xu-says-ai-agents-will-increase-demand-for-human-labour-siexh9w89) · The Next Web · 0 upvotes · 0 comments
- [Part 4: DoorDash 2025 summer intern projects](https://daily.dev/posts/part-4-doordash-2025-summer-intern-projects-jfbjtyoh1) · Doordash · 1 upvotes · 0 comments

---

Tags: [#llm](https://daily.dev/tags/llm), [#robotics](https://daily.dev/tags/robotics)

[View this post on daily.dev](https://daily.dev/posts/building-an-autonomous-delivery-experience-with-doordash-co-founders-andy-fang-and-stanley-tang-llu59a2cs)

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