Case Study: US-based Multi-National CPG Company improves forecasting by 41% with AbsolutData’s AI Framework

A clearer picture enabled leader to identify focus areas, fix leaky buckets, and refocus spends.

AbsolutData worked with a US-based multi-national CPG company that was missing targets, facing high inventory costs, and struggling to understand which drivers to prioritize. The company needed a more accurate, cross-country consumption forecasting process with enough data depth to better guide marketing and planning decisions, and turned to AbsolutData’s NAVIK AI Platform and Integrated Decision Planning Framework (IDPF).

AbsolutData implemented the IDPF to combine multi-source data, improve consumption and demand forecasting, and support marketing mix analysis across brands and countries. The solution improved forecast quality by 41% in six months, reduced forecast bias to 2%, helped identify leaking buckets and focus areas, and led the client to extend the framework to ten additional countries.