Sell e-commerce company data to AI companies

Why AI companies want e-commerce data right now

E-commerce is one of the first places AI agents are being put to work: answering where-is-my-order tickets, handling returns, planning email campaigns, reconciling payouts, reordering stock. To get those tasks right, AI companies need real examples of a team doing them – the ticket with three follow-ups, the Slack thread about a delayed shipment, the campaign plan that changed after a bad week.

D2C companies tend to have this record in a tidy form. They grew up on cloud tools, often have kept every ticket and message since launch, and connect their helpdesk, store and email platform so the same order or customer issue can be followed across systems.

That combination puts e-commerce in the faster-deals group right now: offers usually sit lower in a band, but reviews and delivery are quick. Demand shifts with the market, and where the industry sits can change over time.

What carries the value

The five core systems carry the value, and in e-commerce they are joined by the store platform, helpdesk and marketing tools that run the business.

Three or more years in these tools is the baseline; five or more is better. Simple, connected tool sets – the same helpdesk, store and chat since early on – are quick to price and deliver. Missing a core system lowers the offer, and so does leaving a whole system out. See customer service data and Slack and Teams data for more on those two.

Typical starting size and how to count

E-commerce deals typically start from about 50 staff. Bigger teams get bigger offers, and companies with 100 or more people in the same tools receive the largest.

Count full-time staff who work in your systems: customer service, operations, merchandising, growth and marketing, creative, finance and leadership. Warehouse pickers without email or Slack accounts usually don't add to the record. If customer service is outsourced, agents working inside your own Gorgias or Zendesk add to the record even though they aren't on your payroll; we look at both. Internal communication should mainly be in English.

What is never part of a deal

Sensitive content is filtered inside each system, not by dropping whole systems:

• Card numbers and payment details are never part of a deal.
• Customer personal details – names, emails, addresses, phone numbers, order numbers – are filtered from tickets, email, Klaviyo and Shopify records.
• Marketplace data you don't own – data in Amazon or other marketplace portals governed by their terms – is assessed case by case.
• HR and payroll content is excluded.
• App and agency data under their own terms – for example data held by an agency in its own accounts – stays with its owner.

Your privacy policy and how US state privacy laws treat company records both play a part; data privacy and AI training explains how this generally works today, and the guide on whether a company can sell customer data covers the customer side.

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.

E-commerce companies tend to sit toward the lower end of their band, but deals close faster because the tool set is simple and well connected. A brand with long history in all five core systems moves up within the band. Get a first estimate with the data value estimator.

How a deal works

1. You describe the company – team size, which tools you use and since when. No data is uploaded.
2. We review fit, ownership and demand, and reply within 48 hours on business days.
3. You approve a written offer and agreement, or turn it down. Nothing is shared before you approve.
4. Filtering and delivery. Customer and payment details are filtered inside each system, the agreed records are delivered and payment is made.

A decision maker who can sign within about two weeks of the first call keeps things moving. By default the license is non-exclusive and limited in scope, time and use, and you keep ownership of your records. 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.