Mexico’s Largest Department Store Chain Coppel Expands AI Merchandising Pilot Program to Footwear

Why It Matters

Predictive AI gives Coppel a forward‑looking tool to reduce costly footwear miss‑bets, improve assortment relevance, and boost margins in a category with high return rates. The move signals a broader shift toward data‑driven product development in Latin American retail.

Key Takeaways

• Coppel expands AI merchandising pilot to men’s and women’s footwear
• Pilot uses First Insight’s predictive AI to forecast demand and pricing
• AI predicts value score, price, demand, elasticity up to 16 months
• Footwear returns ~31%; AI helps cut miss‑bets and markdowns
• Women’s apparel pilot results due by end of 2026

Pulse Analysis

Coppel’s $4.6 billion transformation agenda places artificial intelligence at the core of its merchandising strategy, and the latest expansion into footwear marks a pivotal step. By leveraging First Insight’s predictive platform, the retailer can capture real‑time consumer sentiment on shoe silhouettes, materials, and price points before any sample is cut. This pre‑production insight translates into four key outputs—value score, model price, demand curve, and price‑elasticity curve—allowing merchandisers to prioritize styles that are most likely to sell at full price and to set optimal price thresholds well in advance of production cycles.

The footwear category presents unique challenges: it carries the industry’s highest return rate, roughly 31%, and suffers from the lowest online conversion rates among major retail segments. Traditional merchandising relies on historical sales and trend forecasts, which are inherently backward‑looking. Predictive AI flips this model by injecting forward‑looking consumer intent, reducing the risk of over‑producing unpopular designs and minimizing markdowns. For Coppel, which operates an extensive omnichannel network and a sizable financial services arm, the ability to align product development with precise demand signals can free capital for higher‑margin items and improve inventory turnover across its 1,400‑plus stores.

Regionally, Coppel’s adoption of AI‑driven product development underscores a broader digital acceleration among Latin American retailers seeking competitive parity with global peers. As AI platforms become more sophisticated—integrating demographic targeting, price elasticity modeling, and multi‑segment analysis—the potential ROI extends beyond immediate sales uplift to longer‑term brand loyalty and supply‑chain efficiency. If the pilot delivers the projected insights by year‑end, Coppel could set a benchmark for AI‑enabled merchandising that other department stores in the region may emulate, reshaping how private‑label footwear is conceived, priced, and delivered to consumers.