Demand Forecasting

Predicts future product demand using time-series modelling on your SAP sales history. Outputs feed directly into SAP IBP for planning, so your forecast and your plan are always aligned.

Inventory Optimisation

Calculates the right safety stock and reorder point for every material at every location — automatically. Eliminates guesswork from replenishment and reduces both stockouts and excess inventory.

Transport & Logistics AI

A multi-model ensemble that predicts delivery delays, estimates costs, and ranks routes before a shipment leaves the warehouse. Live weather and disruption signals feed into the risk model in real time.

Benchmark: 79.77% on-time delivery prediction accuracy across 2,600 deliveries.

Equipment Failure Prediction

Uses sensor data, maintenance history, and operational logs to predict exactly how many cycles remain before a piece of equipment fails. Move from reactive maintenance to precision-scheduled intervention.

Clinical Stock AI

Purpose-built for healthcare and MedTech. Demand for clinical products is driven by patient schedules and procedure volumes — not purchase orders. This model maps those clinical signals to device consumption rates so the right stock is always in the right place.

Process Mining

Traces the complete Order-to-Cash process — from sales order to delivery to billing to financial posting — and maps what actually happens against what should happen. Identifies bottlenecks, cycle time outliers, and process deviations automatically.