A leading CPG company's Insights & Analytics team needed to redesign its operating model to enable predictive, end-to-end growth decisions, but operated with siloed teams and inconsistent processes across business units. Analytics capabilities were backward-looking rather than predictive, and there was a lack of end-to-end integration of insights into growth decision-making.
Cloverpop redesigned the I&A operating model to enhance predictive, end-to-end growth decisions. The deliverable was a 2-year implementation plan to scale AI across enterprise decisions.
Results
$600M+ value identified from AI-optimized & predictive E2E growth
2-year implementation plan to scale AI across enterprise decisions
Predictive, end-to-end growth decision capability was built across the organization. With a unified I&A structure and AI-optimized processes in place, the team identified $600M+ in value from predictive E2E growth decisions.