Unlock consumer decisions with individual machine learning volume forecasts
Forecasting is a vital tool to guide product development and launch, yet over three quarters of innovations are discontinued by the following year.
We believe that a key condition for success lies in making solid volume forecasts that not only identify whether the innovation adds value but also focus on understanding how consumers evaluate products and make purchase decisions.
Innovation research needs to go further than a macro-view of potential sales volumes and take into account the individual characteristics of each buyer.
Our individual by individual forecasting approach creates a virtual consumer panel from survey participants and matches this to the current market landscape. The Market Shaker® model then uses machine learning to simulate a whole host of purchase outcomes for each consumer moment by moment over time and so creates tens of thousands of virtual consumers.