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.
AI-Powered Revenue Optimization for QSR Pricing
Overview
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