Baufest
Business Insights for Retail

Walmart Chile

Business Insights for Retail

We applied advanced analytics to transform large volumes of data into actionable insights, identifying opportunities for optimization, cost reduction, and business value creation.

Capabilities
Regions
  • 🇨🇱 Chile
Published
  • July 2026

The Company

Founded in 1962, Walmart is the world’s largest retailer, operating more than 10,000 stores and clubs across multiple countries alongside a strong e-commerce presence. The company serves hundreds of millions of customers every week through an extensive network of supermarkets, hypermarkets, convenience stores, and digital platforms, offering a broad range of products and services. Driven by an omnichannel strategy and a strong focus on innovation and customer experience, Walmart continues to evolve its digital capabilities to seamlessly connect physical and digital channels, streamline content management, and deliver faster, more personalized shopping experiences. The company continuously invests in modernizing its platforms, leveraging data and artificial intelligence, and optimizing its supply chain to strengthen its leadership in global retail.

The Challenge

The company had access to large volumes of data from multiple business sources but needed to transform that information into actionable insights to identify concrete opportunities for optimization, reduce costs, and improve profitability.

The challenge was to turn data into evidence that could support decision-making and help prioritize high-impact business initiatives.

The Solution

We developed a Business Insights Workshop that combined discovery sessions with a structured data analysis process to identify high-impact improvement opportunities. Through a Discovery Research phase, we defined the highest-priority use cases and consolidated data from multiple business sources for preparation and analysis.

Building on this foundation, we applied advanced analytical models along with segmentation and variable correlation techniques to identify behavioral patterns and generate actionable insights that supported optimization initiatives and business value creation.

Benefits

  • Generated actionable insights to drive optimization and operational efficiency initiatives.
  • Identified behavioral patterns that challenged existing assumptions.
  • Prioritized improvement opportunities based on data-driven evidence.
  • Identified opportunities to strengthen data capture and data quality processes.
+370
Stores nationwide