AI Automated Forecasting
Customer
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
Challenge
- Needed to accurately forecast sales, raw materials supply and market demand for finished goods
- Existing forecasting methods were labour-intensive and inconsistent
- Models failing to provide accurate, reliable forecasts
Solution
- Created powerful new methods to generate and combine forecasting models
- Developed modern, state-of-the-art forecasting algorithm
- Delivered an automated solution which aggregated data sources and combined forecasting models together to attain higher accuracy
Business Impact
- Reached 97-98% in forecasting accuracy through combination of forecasting model, higher than any single model on its own
- Enabled an optimisation of operations, resulting in monetary and time savings
- Decreased risk of manual errors through forecasting automation