Building for retail.

Retail data is customer data. We build forecasting and customer analytics that use it well without spreading it around.

01What you will be asked

The questions your auditors bring.

Is customer data used with consent?
GDPR and CCPA limit profiling and personalisation to what customers have agreed to.
Where does card data go?
Payment details in scope of PCI DSS must never reach analytics or AI systems.
Who can see what?
Customer records should be visible only to the teams and systems that need them.

02How we answer

Models are trained inside your platform
Forecasting and customer models run where your data already lives.
Personal data is minimised first
We remove or pseudonymise identifying fields before modelling wherever the result does not need them.
Card data stays out
Analytics pipelines are built so payment details never enter them.
Certified practice
We hold SOC 2, ISO 27001, HIPAA and PCI DSS.

What stays with people

Planners and merchandisers make the call. Forecasts come with their accuracy against your current method, so people know how far to trust them.

What we build for retail and e-commerce

Other sectors

Thirty minutes with an engineer. You leave with a clear scope, a timeline and a recommended approach.