Retail

More margin from every store.

We build AI for retail, hospitality and FMCG chains that prices to demand, forecasts stock and personalizes offers. Store teams get tools for onboarding, quality control and targets, so margin grows in every location.

Start with a free 90-minute workshop

Where AI pays off in retail

  • Dynamic Pricing

    Prices tuned to demand and to what competitors charge.

  • Competitor Monitoring

    Competitor prices pulled from marketing brochures automatically.

  • Demand Forecasting

    Forecasts by location that put stock where it sells.

  • Personalized Offers

    Targeted offers that drive cross-sell and upsell.

  • Store Operations

    Onboarding, quality control and target tracking across stores.

Relevant experience

  • Manufacturing

    Pricing with expert control.

    We rebuilt a manufacturer’s quoting model for more accurate pricing, with human review.

  • Technology

    Product answers at scale.

    An AI agent uses complex product documentation to answer first-line support emails.

How we work

A working session to identify worthwhile AI opportunities and agree the next step.

Questions

What can AI do for retail, hospitality and FMCG chains?
Crisp Labs helps retail, hospitality, and FMCG teams apply AI to pricing, demand forecasting, stock allocation, personalized offers, and store operations. We scope each application around the available data and test its value against agreed business measures.
How can AI improve retail pricing and inventory planning?
Crisp Labs can develop pricing recommendations and location-level demand forecasts from sales, inventory, and competitor data. We test these against existing decisions, using agreed measures such as margin, availability, sell-through, and forecast accuracy.
How does a retail chain start an AI project with Crisp Labs?
Start with a free 90-minute workshop to identify a valuable workflow. Discovery establishes the data, scope, and success measures before a prototype is tested. Integration, rollout, and store-team adoption are then planned around the results.