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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.

Varejo e E-commerce: 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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