Inside Mirakl’s agent commerce vision
In internal documentation, Mirakl’s technical writers used ChatGPT Enterprise to dramatically accelerate the production of product documentation—reducing writing time by around 70% and improving consistency across teams. In customer support, Mirakl built an agent that answers support questions using Mirakl’s documentation, improving efficiency by 37% while maintaining 96% satisfaction, and providing instant, multi-language support so staff can focus on higher-value issues.
- Agent or tool
- ChatGPT
- Topic
- Customer Support
- Reported on
- Case study (OpenAI)
- Added
- 2026-11-11
Why it matters
Support is repetitive and time-sensitive. Agents can draft answers, look things up and handle simple requests, so people can focus on the tricky ones. It is one of 554 sightings filed under Customer Support on Agent Sightings (number 227 by interest), and one of 145 involving ChatGPT.
How you could try it
Here is a reusable prompt, written by us in our own words, that captures the task. Paste it into ChatGPT or any similar agent and adjust the details to your situation.
I want an agent to handle routine customer questions end to end, and pass anything unclear to a person. The tool in the source case was ChatGPT.
Tip: Start small: run it once on a low-stakes example, read what the agent did, and only then let it run on real work.
Source
Read the original first-hand account on Case study (OpenAI): https://openai.com/index/mirakl. Our summary is a paraphrase; details are in the source.
Built an AI agent? Feature your agent on Agent Sightings, free submission or a featured spot.
Browse more like this
Related sightings
- How to manage AI investments in the agentic era
- How Zapier Tables and ChatGPT increased revenue by $134,000+ in a year
- How Podium is arming 10,000+ SMBs with AI agents
- Draft replies and promo codes for L'Oréal support advisors
- Win a flight refund dispute
- Draft a refund demand for an unauthorized renewal