Swiss Chemical Company

Training a deep neural network to predict end product properties without having to actually mix ingredients together, reducing development cost and time

Challenge

• R&D activities to create new product by combining different ingredients produce waste and take time
• Difficult to predict end product properties and taste without actually combining ingredients and observing the result
• Goal to predict final properties through algorithm instead of physically

Solution

• Trained neural networks to analyse chemical interactions and product properties data
• Solution predicts end properties, suggest totally new formulas, and recommends potential improvements to existing formulas
• Models designed to be natively compatible with current systems used by client, leading to easier integration

Business impact

• Development time and cost of new products and formulas significantly reduced
• Lower waste of ingredients
• Creators can predict product properties even before creating the first samples
• Reached beyond customer requirements by integrating this model into a search engine created for the same client