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

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

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

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

Next

Data