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Retail

AI that runs at retail scale

We build the AI that turns customer, inventory, and operational data into decisions that protect margin.

What We Build in Retail

Commercial impact across the full retail stack

Built for the Full Retail Stack

The infrastructure scales with the business

We build from the data foundation up, turning transactional, behavioral, and operational data into decisions rather than just reports.

“Working with Datatonic on this project enabled us to create a greater variety of more complex first-party customer audiences to push into different marketing platforms.”
Automating digital marketing campaigns

Frequently asked questions

Do you work across grocery, fashion, and consumer goods?

Yes. Datatonic works with enterprise retailers across grocery, fashion, and consumer goods. The data and AI challenges differ by category but the underlying engineering approach is consistent.

How do you build personalization that works at scale?

Datatonic builds the data infrastructure and ML layer that makes personalization viable for the full customer base. That means clean, connected customer data and models that update in real time.

Can you integrate with our existing retail tech stack?

Yes. Datatonic builds into the systems you already run: ERP, OMS, CDP, and demand planning platforms. The architecture is designed around your existing infrastructure.

What does a supply chain AI engagement look like?

Datatonic scopes the commercial problem first, whether that is waste reduction, stock availability, or range optimization, then builds the data pipelines and models to address it. Engagements deliver working increments so results are visible early.

What happens after the build?

Datatonic’s AI Operations capability monitors the system in production and triggers re-evaluation when data patterns or demand conditions shift. The aim is a system your team can run and extend independently.

Move First

Your customers won't wait
for the data to catch up

We build the AI that connects your customer, inventory, and operational data, so your team acts on insight, not instinct.

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