AI-Powered Revenue Optimization for QSR Pricing

Overview

Our client is a global quick-service restaurant leader that relies on data-driven pricing strategies to maximize revenue and respond quickly to changing customer demand across its outlet network. 

Business Complexity

The client needed to optimize pricing across 1,500+ outlets by identifying the most effective pricing tiers, promotions, and product mix to improve revenue while responding to changing customer demand. 

Action

  • Built an AI-powered pricing analytics platform integrating POS, demographic, and competitive data.
  • Identified revenue drivers and recommended optimal pricing strategies.
  • Enabled data-driven promotional planning across outlets.
  • Delivered actionable insights across 1,500+ outlets, helping maximize revenue, improve promotional effectiveness, and accelerate pricing decisions.

Tech Stack

  • AI & Analytics
  • Predictive Analytics
  • Data Science
  • QSR Technology
  • Python
  • Data Science

Impact

  • 6% Revenue Growth Through Optimized Pricing
  • 1.5K+ Outlets Analyzed for Pricing Optimization
  • 1.3K+ Outlets Implemented Optimized Pricing Recommendations