How It Works
Three steps to an AI that runs your numbers
Every retailer we work with starts on the same six-step staircase — most are stuck around step two. Here’s exactly what changes once Stratodata connects your data, and how little of it is on you.
Where most retailers get stuck
The Stratodata Stairway — six levels of data maturity
Excel Age
Numbers copied by hand between spreadsheets. No single source of truth.
Data Silos
Every platform collects data. Ask “what was yesterday’s revenue?” and get five answers.
Single Source of Truth
One warehouse, one set of reports. This is where Step 1 below begins.
Data Culture
Teams read the numbers and act on them. Still manual, but decisions are grounded.
Scaled Automation
Pricing, bidding and forecasting run themselves. Step 3 below.
AI-Powered
“Talk to your data” — natural language in, an accurate answer out.
Stratodata exists to move you from wherever you sit today straight to level 6 — without asking you to build a data team of your own along the way. The three steps below are how.
The process
What actually happens after you sign up
Connect
We build your Unified Retail Data Model.
ERP, e-commerce, marketing platforms and warehouse feeds — connected and blended into one verified retail data model, refreshed daily. We know which sources to pull and how to avoid “garbage in, garbage out,” because we've done it dozens of times.
Grant read access to your existing platforms.
Data engineers handle every pipeline and feed — nothing to export or map yourself.
See
Your North Star, tracked automatically.
Reporting built around Net Profit — not vanity revenue — viewed by sales channel, marketing channel, product, category or brand. One number the whole company optimises for, instead of departments pulling in different directions.
Tell us which North Star view matters to your leadership team.
Consultants align the reporting — and your team — around it.
Automate & talk
Rules run on their own — and you can ask questions.
Autopricing, PPC bid enrichment, product recommenders and demand forecasting run continuously against your data model. On top, a chat interface — grounded in your own business glossary — answers questions in plain language, in the tools you already use.
Set the guardrails: margin floors, stock rules, aggressiveness.
We build and tune the automations, and wire up “talk to your data.”
Want to see each piece on its own first? Browse our solutions.
Step 03, in practice
No more scrolling reports to find the one number you need
Ask in Slack, Teams or Google Chat. The question is passed to an LLM trained on your business logic, which pulls the answer straight from your data warehouse — as text, a chart, or an .xlsx export.
ask > “What’s holding me back from my Net Profit target this month?”
get > Category “Outdoor” margin is down 4pts — driven by a pricing rule change on Oct 3.
What it looks like once it’s running
Retailers who’ve made the climb
Ready to see it on your own data?
Thirty minutes, no deck. Bring your messiest report and we’ll show you what level 6 looks like for it.