Real Challenges. Real Results.

The client was experiencing significant financial losses due to fraudulent transactions that their legacy rule-based system failed to detect. False positive rates were high, causing customer friction.

We designed and deployed a real-time ML fraud detection engine using ensemble models trained on 3 years of transaction data. The system analyses 200+ features per transaction in under 50ms.

Fragmented patient records across 12 hospital branches, manual appointment scheduling causing 30% no-show rates, and clinical staff spending 40% of their time on administrative tasks.

Built a unified patient management platform with AI-powered appointment optimisation, automated reminders, predictive no-show modelling, and a clinical workflow automation layer.

Persistent stockouts and overstock situations were costing the business millions annually. Manual forecasting methods were inaccurate and could not account for seasonal and promotional variations.

Developed a multi-variate demand forecasting system using LSTM neural networks, integrating POS data, weather patterns, promotional calendars, and macroeconomic indicators.

Inefficient route planning was leading to excessive fuel consumption, delayed deliveries, and poor driver utilisation. The dispatch team was manually planning routes for 200+ vehicles daily.

Implemented an AI-powered route optimisation platform with real-time traffic integration, dynamic rerouting, predictive maintenance alerts, and a driver mobile app.

Senior leadership lacked a unified view of business performance across 200+ branches. Data was siloed in 8 different systems, and monthly reports took 3 weeks to compile.

Built a real-time BI platform aggregating data from all source systems, featuring interactive dashboards, automated anomaly detection, and natural language query capabilities.

Drug expiry losses and supply chain inefficiencies were costing the business 18% of annual revenue. Lack of visibility across the distribution network made proactive management impossible.

Deployed an end-to-end supply chain intelligence platform with expiry prediction, automated reorder triggers, supplier performance scoring, and a real-time visibility dashboard.