Data licensing advisors

Sell consumer brand data to AI companies

Consumer brands keep years of records on how products get planned, made, shipped, sold and supported. AI companies are in strong demand for that operational history right now. We advise you and negotiate the license, and your brand keeps ownership, customer details are filtered out and you approve every deal.

By Linus Näslund, Co-Founder

  • You keep ownership
  • Nothing shared without your approval
  • Reply within 48 h
Contents06
  1. 01Why AI companies want consumer brand data right now
  2. 02What carries the value
  3. 03Typical starting size and how to count
  4. 04What is never part of a deal
  5. 05What companies typically receive right now
  6. 06How a deal works

Why AI companies want consumer brand data right now

A consumer brand is a long chain of decisions: which products to make, how much to order, which retailer gets which promotion, what to do when a container is late, how to answer the customer whose order arrived broken. AI companies are training systems that can take on that kind of work, and they need real examples of it – with the trade-offs, the back-and-forth and the outcome.

Little of that ever becomes public. Annual reports and press releases show results, not the email thread where a buyer at a retailer pushed for a deeper discount, or the planning file that was revised six times before a launch. A brand that has kept its email, files, chat, CRM and accounting together for several years holds exactly the record that is scarce.

That is why consumer brands are in strong demand right now. Demand shifts with the market, so what is most wanted can change, but complete operational history from a real brand has stayed useful.

What carries the value

Customer service, operations, merchandising, supply chain and finance carry most of the value – spread across the five core systems and the tools your teams use for them.

SystemWhat it typically holdsWhy it matters
Email (Google Workspace, Microsoft 365)Supplier, retailer, 3PL, agency and customer threadsHow deals, delays and disputes get handled in practice
File storage (Google Drive, SharePoint, Dropbox)Range plans, forecasts, line sheets, spec packs, launch plans with versionsPlanning and reasoning that changes over time
Internal chat (Slack, Teams)Operations, marketing, CS and leadership channelsFast decisions and the context behind them
CRM (Salesforce, HubSpot)Retail accounts, wholesale deals, distributor notesHow accounts are won, kept and grown
Accounting (NetSuite, QuickBooks, Xero)Transactions, COGS, trade spend and margins over the yearsThe financial side of every operational decision
Customer service (Zendesk, Gorgias, Salesforce Service Cloud)Tickets, chats and their resolutionsReal customer problems and how the brand solves them
Operations and planning (ERP, inventory and PLM tools)Purchase orders, inventory moves, product specsHow a product goes from idea to shelf

Three or more years in these systems is the baseline; five or more is better. Missing a core system lowers the offer, and so does leaving whole systems out of the deal. See customer service data and CRM and business data for more on those parts of the record.

Typical starting size and how to count

Consumer brand deals typically start from about 50 office staff, and bigger teams get bigger offers – brands with 100 or more people working in the same systems receive the largest.

Count the people who do their work in your company's systems: merchandising, planning, buying, supply chain, customer service, marketing, sales, finance and leadership. Warehouse, store and factory staff usually don't add to the record unless they work in email, chat and files every day. Internal communication should mainly be in English; a brand with a US team and a sourcing office abroad usually fits as long as most of the record is.

What is never part of a deal

Sensitive content is filtered inside each system rather than by removing whole systems:

  • Card numbers and payment details are never part of a deal.
  • Customer personal details – names, addresses, emails, phone numbers and order numbers – are filtered from tickets, email and CRM notes.
  • HR and payroll records are excluded.
  • Data the brand doesn't own – for example retailer portal data or files covered by a supplier or licensing agreement that restricts their use – is assessed case by case and left out where needed.
  • Licensed IP – if you make products under someone else's brand license, material belonging to the licensor is reviewed separately.

How US privacy rules apply to company records today is covered in data privacy and AI training.

What companies typically receive right now

Full-time US staffIndicative range
20–49$200K–$500K
50–149$400K–$900K
150+$800K and up

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.

A consumer brand with a long record across all five core systems tends to sit solidly within its band. A brand with a few years of history, or with customer service run entirely by an outside agency in its own tools, usually lands lower. For a first estimate, try the data value estimator.

How a deal works

  1. You describe the brand – team size, systems and years of history. You don't upload anything.
  2. We review ownership, fit and current demand, and come back within 48 hours on business days.
  3. You approve a written offer and agreement, or decline. Nothing is shared before you approve.
  4. Filtering and delivery. Customer and other sensitive details are filtered inside each system, the agreed records are delivered and payment is made.

Deals move faster when a decision maker can sign soon after the first call, usually within about two weeks. By default the license is non-exclusive and limited in scope, time and use, and your brand keeps ownership of its 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.

Questions and answers

Frequently asked questions

What kind of consumer brand data do AI companies want?

The internal working record – customer service tickets and their resolutions, supplier and retailer email, merchandising and range planning files, supply chain and inventory decisions, and finance. The value is in how the team runs the business, not in customer lists.

Do we have to share customer names or card numbers?

No. Card numbers and payment details are never part of a deal, and customer names, addresses, emails and order identifiers are filtered out of tickets and threads before delivery.

Does it matter that we sell through retailers rather than direct?

Not much. Wholesale and retail brands often have a richer record of retailer negotiations, promotions, chargebacks and supply planning, while direct brands have more customer service history. Both fit. What matters is that the records are your own and still in your systems.

How big does a consumer brand need to be?

Deals typically start from about 50 office staff, and bigger teams get bigger offers. Warehouse, store and factory staff without their own accounts in your systems don't count toward that number.

More pages

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Next step

Find out what your data could be worth

Describe the data you have – it takes about two minutes. You don't send any files and nothing is shared without your approval. We get back to you within 48 hours on business days.

  • You own the data
  • Nothing shared without your approval
  • Non-exclusive licenses