Case Study: How Manufacturers Mitigate Commodity Price Risks

“Commodity prices are inherently challenging to determine and ChAI's approach of using AI technology to look at all the data that matters and provide the output in a transparent, easy to understand format, enables us to determine raw material price risk.”

"We regard the use of the ChAI solution as becoming more and more essential to our core business. ChAI have become strong partners of Goodmills since we first started using them back in mid 2020; we like the fact that they are ever evolving in their solution enhancements, and are never standing still. The value that ChAI brings to our business is as a source of information that is presented in an easy and understandable manner."

"We have been impressed so far by ChAI and the range of processes at Network Rail which will be able to benefit from this technology. Network Rail always strives to identify opportunities for improvement and to foster innovation, and we are looking forward to collaborating with the team at ChAI going forward."

"We've been working with ChAI for over a year and have seen some amazing transformation in their product. Their forcasted price of Brent Crude and Naphtha reliability provides guiding input to our price projection and assists us with making hedging decisions."

“ChAI is making a real difference by introducing objectivity into commodity price forecasting by the use of machine learning. ChAI’s web application has evolved to such an impressive level that I use it to benchmark my own analysis and price forecasts”