Smart AI Pricing Platform Drives Revenue Growth & Cut Analyst Effort by 80%

Overview

Our client is a leading global consumer health enterprise (client identity withheld at firm's request). It relies on an AI-driven pricing platform to improve commercial decision-making and revenue performance across its retailer relationships.

Business Complexity

Pricing decisions were fragmented and dependent on manual analysis, which led to missed opportunities and delayed execution. The client lacked forward-looking "what-if" simulators, and varied retailer discounting practices made it difficult to track true profitability.

Action

  • Engineered an interactive, 9-screen automated pricing dashboard powered by Azure Cloud, LightGBM, and the Pandas AI Agentic Framework.
  • Integrated Copilot and elasticity models to provide real-time visibility into price responsiveness, competitor benchmarks, and scenario simulation.
  • Empowered pricing teams to act with agility during retailer negotiations.
  • Optimized promotional strategies, reduced revenue leakage, and improved pack architecture.

Tech Stack

  • Azure Cloud
  • LightGBM
  • Power BI
  • Python

Impact

  • 2-3% YoY revenue uplift in target categories
  • 80% reduction in manual analyst effort
  • 7 key retailers onboarded with global scale potential
  • Named a 2025 FuTech Silver Award Winner for Best Data Analytics Solution