Case studies
retail
Reducing inventory costs by 30% with AI-powered demand forecasting
How we helped a major retailer optimise inventory management and reduce costs through advanced demand forecasting.
- 30% reduction in inventory carrying costs
- 45% decrease in stockouts
healthcare
Improving patient outcomes with predictive analytics
Implementing predictive analytics to identify high-risk patients and improve care coordination across a hospital network.
- 22% reduction in 30-day readmissions
- 35% improvement in care coordination
finance
Detecting fraud in real-time with machine learning
Building a real-time fraud detection system that identifies suspicious transactions while minimising false positives.
- 60% reduction in fraud losses
- 40% decrease in false positives
manufacturing
Reducing downtime by 50% with predictive maintenance
Implementing IoT-powered predictive maintenance to prevent equipment failures and optimise maintenance schedules.
- 50% reduction in unplanned downtime
- 35% decrease in maintenance costs
telecommunications
Reducing customer churn by 28% with predictive analytics
Using machine learning to predict customer churn and enable proactive retention strategies.
- 28% reduction in customer churn
- 3x improvement in retention campaign effectiveness