Problem
- Technician dispatching not as efficient as possible
- Currently used algorithms were too slow and did not allow for quick reaction, recalculation of the routes/dispatching of the technicians
Customer
Customer
Developing a state-of-the-art forecasting approach by combining multiple forecasting models to achieve a 97-98% accuracy, leading to monetary and time savings
Customer
Building a tool to provide a 360° view over the whole supply chain, coupled with an alerting system when a certain material is reaching low stock levels
Customer
Customer
Onboarding airlines across 3 continents on a central data analytics platform with activities such as training and enablement of new users
Customer
Implementing a data platform to centralise maintenance data from hundreds of airlines and enable predictive maintenance models