Case Study: US-based Multinational Food Company achieves 90% accurate new product sales predictions with AbsolutData's digital twinning solution

US-based Multinational Food Company - Customer Case Study

AbsolutData worked with a US-based multinational food company that wanted to improve the accuracy of its trial, repeat, and yearly sales forecasts for new products. The customer faced the common challenge of predicting launch success and consumer response before going to market.

To address this, AbsolutData implemented a digital twinning solution, building a virtual model of the customer base using multiple data sources and advanced analytics. AbsolutData’s approach combined time series models, clustering, and AI/ML regression to predict trial, repeat, yearly sales, and market share with up to 90% accuracy, while also identifying the key drivers behind product acceptance or rejection and helping the client simulate performance scenarios before launch.