How Walmart Uses Neo4j for Retail Competitive Advantage
By Bryce Merkl Sasaki
December 14, 2015|
Reading time: 3 minutes
In a little over 50 years, Walmart grew from a small, family-owned business to become the world’s largest public corporation, with over 2 million employees and annual revenues of $470 billion. But Walmart didn’t just become the world’s largest retailer… Read more →
Keywords: competitive advantage • ecommerce • graph database • neo4j • product recommendations • real-time recommendation • Recommendation Engine • retail competitive advantage • sustainable competitive advantage • Walmart
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