Launching a new product is always a risk. It’s one that can be somewhat mitigated by due diligence and market research, but it’s a risk all the same. But what if you could harness millions of data points and use sophisticated predictive modeling techniques to forecast consumers’ probable reaction to a new product?
Our client, a US-based multinational food conglomerate, wanted to improve the accuracy of their trial, repeat, and yearly sales predictions. To do this, they turned to digital twinning, creating a virtual model of their client base that had the potential to transform future predictive capabilities.
