Intelligent Technician Dispatching
Customer
Major Swiss Chemical company
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
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
AI Sales Forecasting
Customer
Major Swiss Chemical company
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
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
Supply Chain Control Tower
Customer
International Reseller
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
Challenge
- Recurrent struggle with materials being out of stock resulting in significant loss in sales
Solution
- Built application enabling users to see the whole supply chain, either globally or per material
- Implemented an alerting system that reports when a certain stock level is low and will soon need replenishment
Impact
- Reduction of average out-of stock levels at a given point in time by about 50%
- Lowered loss of turnover due to materials being out of stock
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
Airlines Data Platform Onboarding
Customer
Airplane producer
Onboarding airlines across 3 continents on a central data analytics platform with activities such as training and enablement of new users
Challenge
- Need for airlines’ data scientists and executives to explore data independently and be able to implement new use cases on their own
Solution
- Prepared educational material, such as presentations and project examples
- Gave lectures and conducted workshops to train new users to use the Foundry platform
Impact
- Enabled new users to acquire new skills allowing them to implement future use cases and to analyse data independently
Aircrafts Predictive Maintenance
Customer
Airplane producer
Implementing a data platform to centralise maintenance data from hundreds of airlines and enable predictive maintenance models
Challenge
- Integrate data from 100s of airlines on a single platform
- Reduce or eliminate operational interruptions and minimise the number of aircrafts immobilised due to unforeseen maintenance needs
Solution
- Integrated sensor data and telemetry into central data lake
- Developed predictive maintenance model outputting the probability of maintenance need in the next 5 flights for each aircraft
Impact
- Notable improvement in speed of problem detection, triaging and resolution
- Enabled feedback loop to aircraft design teams to prevent similar issues from reoccurring