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
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