ai for manufacturing
Using machine intelligence to predict if products will meet quality standards

AI-driven product analysis

In paint manufacturing, pH, color and viscosity specifications are continuously changing based on client demand. This reduces output consistency - only 25% of final mixtures match the stock mixture - eating into profits, productivity and delivery timeframes. AI changes all of that.

pH/viscosity accuracy
reduced production time
in cost savings

An AI solution (currently in beta)

Our AI models analyze historical data, materials characteristics, weather conditions and other production variables to create better formulation models and increase batch accuracy.

In early stage testing, this has resulted in reduced batch testing time and improved quality and accuracy. Our models have been able to determine optimal mixture faster to meet target specification based on multiple variables, and reduces materials waste. By improving the manufacturing process for PPG, our AI solution seeks to significantly reduce production cost and increase profitability.