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Industry

Retail

Retail systems are judged on the four days a year when everything happens at once. We build for that peak, and for the unglamorous inventory and fulfilment logic underneath it that decides whether the promise on the product page is true.

The constraints

What this sector is actually up against

Written from the operator's side rather than the vendor's. If any of these do not match your situation, say so early — it usually means the design should be different.

  • Traffic that varies by an order of magnitude within a single day
  • Inventory accuracy across stores, warehouses and channels
  • Personalisation expectations set against tightening privacy rules
  • Margin pressure that makes infrastructure cost a product decision

Applications

What we build for retail

  • Commerce platforms

    Storefronts and checkout flows engineered for peak load and conversion.

  • Inventory intelligence

    Demand forecasting and allocation across channels and locations.

  • AI customer assistance

    Grounded assistants that resolve routine enquiries and escalate cleanly.

  • Customer-facing web apps

    Digital product experiences that help customers explore, compare and purchase.

Representative engagement

Work in this sector

  • Retail

    42%

    Reduction in support tickets

    AI customer assistant

    A grounded assistant that answers order and product questions from real systems, and hands over to a person the moment it should.

    Read the engagement — AI customer assistant

Illustrative engagement profiles. Figures show the shape of outcomes we design for, not published client results.

Services

Practices that apply here

Building something for retail?

Tell us what you are trying to build and what is in the way. We will tell you whether we are the right people for it.

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