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Introducing Brandstak 2.0: retail knowledge models for your team and your AI. Book a briefing

Retail knowledge models · Retail, FMCG & manufacturing

Retail AI that already knows how retail works.

A retail model trained on $2B of transactions, then deployed on your own data. Anyone from the CFO to store ops can ask the business a question and get an answer they can act on, in Brandstak or in the AI tools they already use.

  • Four years in market
  • $2B of transactions
  • Works with ChatGPT, Claude and Copilot
app.brandstak.ai
Ask — a merchandising question answered with the evidence and the next actions beside itMargin — where gross margin is sitting by category, with ranked recommended actionsA conversation with the knowledge model that explains a margin change and shows the moves to recover itConnections — the knowledge model connected to ChatGPT, Claude and Microsoft Copilot
Why retailers call us

The problem isn't knowing what to do.

It's getting to the data fast enough to do it.

“We know what to do. We can't get to the data.”

“Our AI tools don't understand retail.”

“Every team brings a different number.”

“We bought dashboards. Nobody opens them.”

What we do

One model at the core. Everything else is optional.

Retail knowledge model

Always included

A retail-specific model, deployed for you and trained on your own data. It becomes one analytics layer that anyone in the business can query, through our screens or the AI tools you already use.

Enrichment and dashboards

Add as needed

We add what your own data can't see: competitors, market trends, shipping timelines, demographics, footfall and supply chain risk, across the US, UK, Europe and Asia. Ready-made dashboards are available when your team wants them.

How it fits

AI doesn't replace your data. It learns from it.

Connect

Plug in through our data partners or on top of the data platform you already run. No rip-and-replace.

Learn

A shared retail model plus a layer trained only on your business, enriched with external market data.

Act

Next best action, with the reasoning shown, from the boardroom to the shop floor.

Use cases

Questions your team asks every week, answered.

Grow margin

Margin growth, lost-sales reduction and inventory sizing, by store and by category.

Plan with confidence

Forecast accuracy, supply and demand in sync, production time and supply chain risk.

Know your stores and customers

Store benchmarking, customer lifetime value, and digital marketing that knows what's on the shelf.

Works where your team already works

  • ChatGPT
  • Claude
  • Microsoft Copilot
  • Brandstak screens
  • Your data platform

One answer, from the CEO to store ops.

CEO / C-suite

See the whole business in one place and ask it anything.

CFO

Margin, inventory and working capital, answered without waiting on a report.

Merchandising

What to promote, move or hold, down to the SKU.

Store operations

How your store compares, and what to do about it this week.

PE sponsor

One consistent view of performance across the portfolio.

Built for businesses that move product.

Retailers

Merchandising, finance and store ops working from one model of the business.

Consumer brands

See demand across channels and keep supply in step with it.

Manufacturers

Cut production time and spot supply chain risk before it lands.

Trust

Your data stays yours. The model gets smarter for everyone.

You own your data, and it stays proprietary to you. Our shared model learns how retail works, never how you run your business. Every retailer makes the model sharper, and your own layer stays yours alone.

Six reasons it works.

Built on retail know-how

Trained on $2B of transactions over four years in market, not a general model learning retail on your time.

Smarter with every retailer

A shared model that improves over time, plus a layer that's yours alone.

Explainable

Every recommendation shows its evidence.

Modular

The model is the core. Add only what you need.

Works with your AI

ChatGPT, Claude or Copilot, on your terms.

Sees beyond your four walls

External market data across the US, UK, Europe and Asia.

Help your people build a data culture, not another dashboard habit.

Let's talk

Bring us a question your data can't answer yet.

We'll show you how the model would answer it, on your data.

Start with Knowledge Model Roadmap, a 4–6 week engagement to stand up your knowledge model. 100% credited to Year 1.

We reply within one business day.