In 2014, DoorDash ran on a guy named Steve.
Every dasher shared their location with him on Find My Friends. Order comes in, Steve finds the closest one, texts them. It worked until it didn't.
We sat next to him and turned that manual process into software. Steve went on to build and lead our support org.
I've spent the last year watching the same pattern play out across every industry. Smart people manually holding critical workflows together because their systems haven't kept up. AI helps, but mostly as an assistant - it makes you faster, it doesn't take work off your plate.
That's what we’re building at @conveyAI. Digital teammates that operators train themselves, that run autonomously, and that fully own a process end to end.
Today we're out of stealth.
Grateful to NBC Universal, Samsara, Faire, TelevisaUnivision, Unity and our other customers who bet on us early.
The era of asking your best people to manually run critical business processes is over. The future belongs to the 100x operator.
We’re all in this together. So why don’t all you restaurants out there help each other out and remind everyone that you're still #OpenForDelivery and taking orders on DoorDash, @ubereats, @postmates, @grubhub, @caviar, or whoever your go-to happens to be!
Case Study #DoorDash - @raghavramesh presents how to structure ML systems in production to enable robust and wide-scale deployment of ML, and shares best practices in designing engineering tooling around ML. #MachineLearning#Predictions https://t.co/7ByZQuXgVz
Here is the video of my presentation at the #AIConf in NY earlier this year. I talk about how we use #MachineLearning for logistics @DoorDash. Hit me up if any of these problems interest you, we are hiring!
https://t.co/ju2HqhzkvO