Case Study: Leading US-based Fortune 500 Retailer achieves 40% online revenue growth with Competera AI Price Optimization

Fortune 500 Department Store Boosts Online Revenue by 40% with AI Price Optimization

Leading US-based Retailer, a Fortune 500 department store chain with 1,000+ stores and $15B+ in annual revenue, was losing market share to price-driven competitors due to reactive, promotional-heavy pricing and a legacy pricing model that limited responsiveness. To transform pricing and support a move from High‑Low to Everyday Low Pricing, the retailer partnered with Competera to pilot an AI-powered price optimization platform for its e-commerce operations.

Competera implemented an AI price- and impact‑modeling solution with automated recommendations, real‑time competitive data, scenario planning and markdown optimization in a 4‑month POC covering 10% of the business (3,000 items). The A/B test produced measurable gains: +40% online revenue, +59% units sold, +25% margins, +30% new customer acquisition and +50% reactivated customers, leading the retailer to expand Competera’s solution across its digital portfolio and begin store pilots. Please obtain Competera’s permission before sharing this confidential case study.