Situation

Our client is a Fortune 500 healthcare leader specializing in nutrition. Although the company operates multiple brands across 50+ countries, its global scale made it difficult to fully take advantage of its vast data assets for strategic decision‑making.

The AI-powered data intelligence platform was a driver of more informed, data-driven decisions.

Data analysis was performed in isolation because information was fragmented across brands, regions, and markets. Inconsistent data formats and definitions made it challenging to compare KPIs and derive insights across geographies. As a result of this siloed approach and the absence of a unified, real‑time view, the organization struggled to respond quickly to changing market and consumer dynamics.

Action

We built a scalable data intelligence platform to unify the client's fragmented data landscape and deliver real‑time, consistent business insights. This data foundation supports advanced AI and analytics use cases, including strategic pricing analytics for price elasticity, customer value management, and marketing mix modeling for optimal resource allocation.

To improve transparency and strengthen collaboration across global teams, leadership can conduct brand reviews using AI‑generated insight summaries. Interactive dashboards were developed with advanced capabilities such as dynamic KPI comparisons, demand forecasts and qualitative reasons reflecting market reality.

The implementation of an AI-powered data intelligence platform enabled our client to fully leverage its extensive data assets, respond quickly to changing market dynamics, and make more informed, data-driven decisions.

Results

  • Streamlined reporting and analytics workflows, delivering consistent, real‑time insights.
  • Faster decision-making through unified data views and AI-generated insight summaries.
  • Higher forecasting accuracy with AI models for demand prediction, price elasticity estimation, and scenario planning.
  • 75%

    Faster speed-to-market with streamlined reporting
  • 14%

    Improved Sales Force Effectiveness (SFE) through optimized territory planning
  • 2%

    Margin lift though AI-driven pricing optimization