AI for consumer goods

From shelf data to decisions.

Consumer goods companies sit on retailer data, promotions and consumer feedback that rarely turn into action. We build the AI that does, and leave your team running it.

Where AI pays off

Typical opportunities in consumer goods.

  • Trade promotion analysis

    Measure promotion lift across retailers, and recommend which events to repeat, change or drop.

  • Retailer and POS data

    Combine fragmented sell-through and inventory feeds into one view, with alerts on out-of-stocks and velocity shifts.

  • Claims and content compliance

    Check packaging, product claims and marketing copy against regulatory and brand rules before they ship.

  • Consumer feedback mining

    Turn reviews, support tickets and social comments into ranked product and quality issues.

How we work

Embedded with your team, from ranking to running.

  1. Rank the opportunities

    We work inside your operations to find where AI creates the most value, and rank by return.

  2. Build the systems

    Our engineers architect and ship the highest-return systems, tested against how the work ran before.

  3. Hand over or operate

    Your team runs it, or Mitre operates it as your outsourced AI department.

We take no fees or kickbacks from model labs or software vendors. Everything we build is model-agnostic and stays yours, down to the code and the accounts it runs on.

Get in touch

Chart your course through AI transformation.

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The best of what we build and learn, plus the use-cases worth stealing. No fluff, no forwarded webinars.