Walmart's retail competitiveness was significantly enhanced by leveraging Neo4j to power real-time product recommendations, enabling the company to provide finely tuned, highly personalized suggestions that react well to customer needs. By substituting a complex batch process with Neo4j, Walmart gained super-fast insight into customer behavior and product trends, allowing them to make data-driven decisions and outperform competitors in terms of online shopping experience. The use of graph databases provided Walmart's eCommerce team with the ability to quickly query customers' past purchases and capture new interests shown during their current online visit, making real-time recommendations a trivial task for Neo4j compared to other database management systems. With Neo4j's scalability and availability features, Walmart was able to achieve a sustainable competitive advantage over other online retailers, leaving them behind in terms of product relevance and customer satisfaction.