Predictive Analytics & Personalisation

Machine-learning models for demand forecasting, churn, next-best offer, recommendations and fraud detection, delivered inside the systems where decisions are made.

Models we deliver

• Demand forecasting by product, location and season, feeding replenishment and workforce planning.
• Customer segmentation and lifetime value, so marketing and service effort goes where it pays back.
• Churn and propensity models that identify who is likely to leave, upgrade or respond to an offer.
• Next-best offer and recommendations for storefronts, agents and campaigns.
• Fraud and anomaly detection on transactions, refunds, registrations and partner activity.
• Operational predictions: delivery times, order exceptions and SLA risk.

From score to action

A prediction is only useful where a decision is made. Scores are published back into the CRM, the point of sale, the promotions engine and the order console, so an agent sees the recommended offer, a campaign targets the right segment and an operations lead sees the orders at risk.

Models that stay honest

Every model is measured against a baseline before launch, monitored for drift afterwards and retrained on a schedule. Results are explained in business terms, and uplift is measured with control groups rather than assumed.