Retail Coach is AI-powered store performance coaching for retail chains. We turn the operational data stores already generate into clear, daily coaching that store managers and supervisors can actually act on.
The company was founded in January 2026 and is based in Santiago, Chile.
The idea came from the inside. Before starting Retail Coach, I (Cristián Middleton) spent six years at Fork Chile, a Chilean convenience-store chain selling food, most recently as COO. Living the day-to-day of multi-store operations made one thing obvious: stores generate enormous amounts of data, but managers rarely receive it in a form that helps them run their shift better tomorrow morning. Retail Coach exists to close that gap.
We're now running our first pilot with a Chilean convenience-store chain.
Retail Coach is led by its founder, with a small group of paid technical contributors and advisors supporting specific areas of the build.
We didn't build a prototype. We built a production platform — with the architecture, security, and operational robustness that enterprise retail demands.
Our platform separates configuration and governance from analytics — so each scales independently. Data is cleaned, structured, and transformed automatically before it ever reaches the AI or your dashboards.
Our AI engine powers action items, photo validation, executive summaries, and in-depth analyses. It's designed to be useful every single day — not just when something goes wrong — with cost controls built in from the start.
Client data is fully isolated — each organization only ever sees its own data, enforced at every layer. Vendor access is completely separated from internal users. Rate limiting and abuse controls are built in from day one.
The people responsible for the most customer touchpoints are often the least supported by technology. We're changing that.
Reports are worthless without execution. Retail Coach connects the insight to the action to the proof — a complete operational loop.
Enterprise retail data is sensitive. We built defense-in-depth from day one — not as a compliance checkbox, but because it's the right way to build software.
New features ship without breaking existing ones. Fan-out execution isolates failures per store. Idempotent design means retries are always safe.
See how Retail Coach transforms operations for enterprise retail teams.
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