Case Study: Top 10 Retail Company achieves record digital sales and 4ms checkout performance with Neo4j

A Neo4j Case Study

Preview of the Top 10 Retail Company Case Study

Neo4j Transforms Performance of Global Retailer’s Website after Cyber Monday Failings

A Top 10 US-based retailer (Fortune Top 50, unnamed) faced severe site slowdowns on Cyber Monday 2015 when a site-wide promotion overwhelmed its IBM WebSphere/DB2 stack. The relational database couldn’t perform the real-time, multi-layer promotions and recommendation calculations required at checkout, leaving 90% of customer traffic delayed and damaging the online experience.

The retailer implemented Neo4j as both front-end and back-end to power pricing, promotions and recommendation engines, enabling real-time traversal of connected data. Post-migration, Neo4j processes 90% of the company’s 35M+ daily transactions in 4 ms or less (well under the 20 ms target) and helped lift Q4 2016 digital sales 34% to a record high.


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