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
AI Sales Forecasting
Customer
Major Swiss Chemical company
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 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
Alternative Data as a Competitive Advantage
Customer
Chemical Producer
Problem
- Need to better understand the market landscape and changing customer demands
- Build up competitive intelligence
Solution
- Use distributed and highly parallelizable Cloud infrastructure crawl and gather data about competitive products on the market. The collected data are use to:
– Track competitor portfolios
– Collect signals about new entrants on the market
– Better understand customer sentiment
Impact
- More focused product development and relevant product launches based on real time market signals
Optimal re-formulation
Customer
Major Swiss flavour and fragrance company
Problem
- Raw material shortages
- Cost fluctuations & impact on profit margins
- Difficulties in finding the best combinations of raw materials
Solution
- Optimization algorithm and platform
- Reformulation on molecular level
- Ability to reduce/replace certain combinations of ingredients while preserving overall properties of the product
Impact
- Significant cost savings possible due to ingredient optimizations
- Some reformulations have been successfully accepted and sold
- Immune to shortages/less impact of ingredient price fluctuations
Predicting and optimising products properties
Customer
Major Swiss chemical producer
Problem
- Predict main characteristics and traits of finished products, along with potential market fit
Solution
- Deep learning on several data sources
- The resulting predictive models have been integrated into the tool used by creators. Now they know the parameters of the end product even before they create the first samples of the product.
- Our models can also make specific recommendations to improve products
Impact
- Increase odds of market success of the products
- Shortening the production cycles and reducing costs
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