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Varejo e E-commerce
Pricing & Promo Analytics for a Food Retail Group
How the client built analytical pricing and promotion intelligence to increase margins and competitiveness.

01The Client
Large food retail group with nationwide operations, running multiple banners and channels (physical stores, e-commerce, and wholesale).
02The Challenge
- 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
03Implemented Solution
- 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 Achieved
- 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
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