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
Intelligent Technician Dispatching
Customer
Major Swiss Chemical company
Solution
- Train a reinforcement learning model to achieve same or better accuracy more quickly at a lower cost
Impact
- Improved Technician efficiency, reaching more customers and resolving more issues per technician per day
Aviation data platform
Customer
Airplane producer
Problem
- The customer was creating an industry leading airplane data platform
- Data from 100s of global airlines needed to be integrated on a single platform to allow predictive maintenance.
Solution
- Unit8 team helped with onboarding maintenance data from airlines in order to create data ecosystem accessible to airlines and manufacturers
Impact
- Unit8 contributed to the creation of the data platform allowing the customer to gain deeper visibility into the airplane data
- New level of insights for predictive maintenance
Airline onboarding to a data platform
Customer
Airplane producer
Problem
- Upon creation of the data platform for airplane maintenance, the customer wanted to connect different airlines to the platform
Solution
- Unit8 helped onboard several airlines onto the common aviation platform to exchange airplane maintenance data
Impact
- Customer gets more granular visibility into the airplane mechanics and operations
- New level of insights for predictive maintenance
AI Supply Chain Forecasting
Customer
Major Swiss Chemical company
Problem
- The need to improve the current forecasting process (raw-materials, finished goods and sales)
Solution
- New approach to improve forecasting quality and the effort needed to maintain it using new data sources like Forward looking indicators, Financial metrics: (GDP, Inflation, FX rates) and Big events (e.g. new years in china, olympic games etc.)
Impact
- Automation -> less manual work, less errors, less time
- Higher accuracy (97-98%)
- Better planning/cost savings
AI Sales Forecasting
Customer
Major Swiss Chemical company
Problem
- The customer was looking to automate the sales forecasting process which to date was performed in a manual way, making it cumbersome and error prone
Solution
- New approach to improve forecasting quality and the effort needed to maintain it using new data sources like Forward looking indicators, Financial metrics: (GDP, Inflation, FX rates) and Big events (e.g. new years in china, olympic games etc.)
Impact
- Automation -> less manual work, less errors, less time
- Higher accuracy (97-98%)
- Better planning/cost savings