Pricing & Promo Analytics for a Food Retail Group

01Client

Large food retail group with nationwide operations, running multiple banners and channels (physical stores, e-commerce, and wholesale).

02Challenge

• Pricing based on fragmented and poorly automated analyses
• Difficulty assessing the real impact of promotions by store, region, and category
• Margins under pressure in a highly competitive environment
• Low visibility into price elasticity behavior
• Need to integrate sales, inventory, competitor, and CRM data

03Solution implemented

• Creation of a corporate Data & Analytics environment for Pricing & Promo Analytics
• Consolidation of sales, inventory, campaign, and competitor data
• Implementation of price elasticity models
• Development of algorithms for promotion optimization
• Creation of executive dashboards for margin and performance monitoring
• Structuring of a scalable environment ready for AI and automation

04Strategic differentials

• Analytical models for price elasticity and sensitivity
• Granular analysis by store, region, category, and channel
• Continuous monitoring of promotional campaign ROI
• Integration with market data and consumer behavior
• Foundation ready for dynamic pricing

05Results

• Increased operating margin
• Improved accuracy of promotional campaigns
• Reduction of losses from inadequate pricing
• Commercial decisions based on real-time data
• Greater competitiveness in the market
• Evolution of analytical maturity in the commercial area