Swiss Chemical Company

Creating and training a deep-learning model to simplify existing formulas, resulting in 30% reduction in number of ingredients while keeping end formulas identical in 99% of cases

Challenge

• Chemical formulas contain too many ingredients
• Makes it more complex to understand the formula composition and leads to higher cost and longer manufacturing process
• Goal to find algorithmic way to simplify existing formulas by creating a portfolio of “bases” that could be combined and reused to create formulas

Solution

• Trained a highly specialised deep-learning model able to learn and detect efficient combinations of ingredients to use to form those reusable “bases”
• Model defined bases according to user defined metrics

Business impact

• Number of ingredients needed to attain same final result reduced by 30%
• End formula is the same in 99% of cases
• Significant saving potential for manufacturing and logistics
• Bases discovered can become building blocks to help creative process