Sell restaurant group data to AI companies

Why AI companies want restaurant group data right now

AI companies are training systems to run real operations: build a schedule that covers a Friday rush, reorder produce before it runs out, work out why food cost jumped at one location and not the others. Restaurant groups do this every day, at scale, and write much of it down – in email to suppliers, in Slack threads between area managers, in purchasing files and P&Ls per location.

Public sources show menus and reviews. They don't show how a central office actually runs twelve or forty sites. That record is what AI companies are looking for in this industry, and it sits in the systems your support center already uses.

Restaurant groups and coffee chains fall in the faster-deals group right now: offers tend to sit toward the lower end of a band, but reviews and delivery move quickly. Demand shifts with the market, so where the industry sits can change.

What carries the value

The central office record across the five core systems carries most of the value, joined by the restaurant tools many groups use for scheduling, purchasing and inventory.

Three or more years is the baseline, five or more is better. A group that uses the same systems across all its locations has a cleaner, more valuable record than one where each site runs its own tools. Leaving a whole core system out lowers the offer.

Typical starting size and how to count

Restaurant group deals typically start from about 50 office or support-center staff. Bigger teams get bigger offers. A single location rarely fits; a multi-location group with a real central office usually does.

Count people with their own accounts who work in your company's systems every day: operations, area and regional managers, purchasing, HR, marketing, finance, catering sales and leadership. Hourly kitchen and front-of-house staff usually don't count, even though they appear in the schedule. General managers count if they work in company email and chat. Internal communication should mainly be in English.

Ownership and what is never part of a deal

Ownership decides more in this industry than in most. Many groups run franchised concepts next to their own brands.

• Franchise-free ownership is cleanest. Records your group keeps in its own systems for its own concepts are the strongest basis for a license.
• Records held by a franchisor – in the franchisor's POS, ordering, training or brand portals – are not the group's to license. What your own office keeps in its own email, files and accounting is reviewed case by case against the franchise agreement.
• Card numbers and payment details are never part of a deal.
• Guest details – names, phone numbers and emails from reservations, loyalty and catering – are filtered out inside each system.
• HR and payroll content – personnel files, pay rates, I-9s, disciplinary notes – is excluded.

This describes how things generally work today, not legal advice; every group and every deal is assessed on its own. For how privacy law fits in, see data privacy and AI training.

What companies typically receive right now

Smaller companies in high-demand industries are quoted individually. These are indicative ranges from what we see in the market right now, not offers – the real number comes in a written offer after a review, and depends on your industry, years of history, which systems are included and demand at the time.

Restaurant groups tend to land toward the lower end of their band, but deals close faster than in most industries because the records are uniform and easy to review. The data value estimator gives a first estimate in about two minutes.

How a deal works

1. You describe the group – number of locations, office staff, systems and years. No data is uploaded.
2. We review ownership (including any franchise agreements), fit and demand, and reply within 48 hours on business days.
3. You approve a written offer and agreement, or say no. Nothing is shared before then.
4. Filtering and delivery. Guest, payment and HR details are filtered inside each system, records are delivered and payment is made.

A decision maker who can sign within about two weeks of the first call keeps the timeline short. By default the license is non-exclusive and limited in scope, time and use, and your group keeps ownership. It costs nothing to be reviewed. More on how it works. For the full picture across industries, see how to sell data to AI companies.