The use case: how Doordash deploys Replicant
DoorDash uses Replicant's AI agents to place outbound calls to restaurants to confirm phone-based food orders, including retrying calls that hit voicemail or busy lines. It also used them for outbound tax form verification calls to Dashers during the January peak.
More reported results
Figures published in Replicant’s case study. They are not independently measured by usedby.
350,000+ calls automated per day
87 percent resolution rate
saved more than 2.5 million agent minutes
scaled to over 2,000 concurrent calls at peak
In the customer’s words
Replicant was able to meet or exceed our goals across all major metrics but, more importantly, our partner restaurants preferred the AI solution.Other AI tools used by Doordash
Other public relationships recorded on usedby.
AWS BedrockConfirmed
HubSpotConfirmed
Observe.AIConfirmed
ResolveConfirmed
RetoolConfirmed
WithinConfirmedOther companies using Replicant
Customers across industries, with public evidence.
AAAConfirmed
Bulwark Pest ControlConfirmedCentury Support ServicesConfirmed
CorVelConfirmed
ECSIConfirmed
Evive BrandsConfirmedGo straight to the source
Based on Replicant’s published case study. We check the public evidence; the results are reported by the vendor.
replicant.com- Last checked
- Nov 8, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: 6 weeksChecked
Printed word for word on the page, near the name of Doordash.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of Doordash.
- Doordash uses ReplicantChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
For the tax season campaign, Replicant handled nearly 800,000 calls in just eight days and saved more than 2.5 million agent minutes. That kind of scale would have been impossible with live support alone.