AI Formula Multi-criterion Optimisation

Deep Learning model
Customer

Swiss Chemical Company

Developing a Deep Learning model to optimise existing formulas resulting in
a better consumer test score for AI optimised formulas compared to the originals

Challenge

  • Development of new formulas relies heavily on feedback from consumer tests to evaluate market fit
  • Goal is to reduce costs of new formula development by making use of AI and reducing the need for consumer testing
  • Plan to achieve that by predicting the main characteristics of a formula and what changes to make to it

Solution

  • Unit8 created a new algorithm based on cutting edge AI technique to optimise existing formulas on multiple criteria to increase market fit
  • The developed deep learning algorithm feeds into a web application also developed for this purpose which recommends specific changes to be made to a formula to improve market fit

Business Impact

  • Products which use the our AI-optimised recommendations outperformed the original formulas in market fit during a subsequent consumer test
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