Retail AI tied to revenue, not vanity metrics.
Personalisation, demand forecasting, search, and conversion intelligence: built on your data and tied to the metrics your CFO cares about.
- Pilot to production
- 0-10wk
- Conversion lift
- 0-15%
- Forecast accuracy gain
- 0-25%
- Revenue-tied evals
- 0%
AI that moves the funnel, not the dashboard.
Retail AI is full of vendors selling click-through rates. We tie every model to revenue: incremental sales, margin, return rate, lifetime value. The eval suite is your P&L.
- Personalisation, recommendations, and search relevance
- Demand forecasting, replenishment, and pricing optimisation
- Conversion intelligence and churn prediction
From discovery to production.
- 01
Discover
Audit the data, the customer journey, and the highest-leverage moments. Pick the experiments most likely to move revenue.
- 02
Prototype with evals
A/B test design, holdout protocols, and incrementality measurement. We do not ship without a defensible lift number.
- 03
Deploy
Models wired into your storefront, search, merchandising, or supply chain systems. Cold-start handling worked out before launch.
- 04
Operate
Continuous A/B testing, drift monitoring, and seasonal recalibration. The system stays honest with itself.
Recommendation vendor pitching numbers your finance team cannot reproduce?
Book a 30-min consultWhat you get.
Lift you can defend in a finance review.
Holdouts, A/B tests, and incrementality measurement designed in. We report on revenue lift, not click-through theatre. Models retrain on the cadence your seasonality demands.
- Holdout-based incrementality measurement
- Per-cohort A/B testing with proper power calculations
- Seasonal retraining cadences and drift monitoring
Common questions.
Make AI move the metric your CFO actually tracks.
Free 30-minute consultation with a retail specialist.
Schedule consultation