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Author: Sowmya Sree

Faced with new digital rivals, this leading hotelier needed faster IT to deliver a competitive pricing strategy. For example, its legacy system took five days to process pricing updates for 82 New York hotels during the 2014 Super Bowl. After adopting Neo4j, the company has transformed its pricing performance and cut hardware costs by 50%. Read the case study link: https://neo4j.com/case-studies/fortune-200-hospitality-company/...

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"You may also like" is a deceptively simple – yet important – phrase as consumers have come to expect real-time recommendations tailored specifically to them. Walmart, eBay and adidas found that Neo4j provides recommendations thousands of times faster than their traditional RDBMS. Discover why these companies (and others) switched to a graph-powered recommender system. Get the whitepaper link: https://neo4j.com/use-cases/real-time-recommendation-engine/...

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Every company encounters the occasional hiccup. But when you're a Fortune 50 retailer and your site crashes on the busiest online shopping day of the year, you know you have a crisis on your hands. Find out how Neo4j transformed the performance of this global retailer's website, real-time promotions engine and online cart promotion calculations. Read more link: https://neo4j.com/case-studies/fortune-50-retailer/...

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