Uncovering hidden ecommerce, marketing gems through knowledge graphs
By eCommerce News - March 27, 2022
Explore: APAC ecommerce knowledge graphs marketing
Graph-Powered Recommendations: How Smart Recommendations Drive Value
By David Penick
May 11, 2020 2 mins read
Read blog one in Neo4j’s five-part series on how graph-powered recommendation engines drive value for enterprise businesses.
Explore: artificial intelligence ecommerce graph-based technologies machine learning personalized experience Recommendation Engines Recommendations relational
Knowledge Graph Search with Elasticsearch and Neo4j
By Jocelyn Hoppa
October 9, 2018 20 mins read
Editor’s Note: This presentation was given by Luanne Misquitta and Alessandro Negro at GraphConnect New York in October 2017. Presentation Summary Knowledge graphs are key to delivering relevant search results to users, meeting the four criteria for relevance, which include… Read more →
Explore: Connected Data ecommerce elasticsearch graphconnect Knowledge Graph machine learning Master Data Management natural language processing Recommendation Engine
Retail & Neo4j: Ecommerce Delivery Service Routing
By Bryce Merkl Sasaki
January 17, 2018 4 mins read
As a retailer, if you think keeping up with Amazon is expensive and time-consuming, consider the alternative: extinction. When it comes to delivery and fulfillment, Amazon is the uncontested emperor of ecommerce. Yet, their efficiency in tracking and delivering orders… Read more →
Explore: Amazon cypher eBay ecommerce ecommerce delivery MySQL Retail ruby service routing service-oriented architecture
Retail & Neo4j: Personalized Promotion & Product Recommendations
By Bryce Merkl Sasaki
November 6, 2017 7 mins read
Today’s retailers face a number of complex and emerging challenges. Thanks to lower overhead and higher volume, online behemoths like Amazon can deliver products faster and at a lower price, driving smaller retailers out of business. In order to compete,… Read more →
Explore: Connected Data Cyber Monday ecommerce graph technology personalized promotion product recommendations real-time recommendations Recommendation Engine Retail Walmart
Amazon Eating Your Lunch? What Data-Driven Retailers Can Do About It [Community Post]
By Bryce Merkl Sasaki
August 31, 2017 5 mins read
[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.] Nearly every analyst of the retail industry would consider Amazon as the source of the declining… Read more →
Explore: Amazon Analytics Connected Data data silo data-driven decision making ecommerce graph technology multi-channel marketplace recommender system Retail
This Week in Neo4j – 27 May 2017
By Mark Needham
May 27, 2017 3 mins read
Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. Featured Community Member: Florin Pătraşcu This week’s featured community member is Florin Pătraşcu, System Architect at… Read more →
Explore: Bitcoin cypher Data Relationships ecommerce Elixir graphconnect GraphQL javascript node.js RDF
Relevant Search Leveraging Knowledge Graphs with Neo4j
By Bryce Merkl Sasaki
May 5, 2017 13 mins read
“Relevance is the practice of improving search results for users by satisfying their information needs in the context of a particular user experience, while balancing how ranking impacts business’s needs.”[1] Providing relevant information to the user performing search queries or… Read more →
Explore: artificial intelligence conceptnet ecommerce elasticsearch Knowledge Graph machine learning natural language processing product catalog Recommendation Engine user experience
Digitalization & Optimizing Business Performance at Hästens
By Rachel Howard
March 29, 2017 7 mins read
Editor’s Note: This presentation was given by Anders Ekström and Kent Lovestjärna at GraphConnect Europe in April 2016. Here’s a quick review of what they covered: The digitalization of mattress buying Data integration with Neo4j New graph, new business opportunities… Read more →
Explore: content management system data integration Data Visualization Digitalization ecommerce graphconnect Hästens marketing automation Master Data Management SAP
How Walmart Uses Neo4j for Retail Competitive Advantage
By Bryce Merkl Sasaki
December 14, 2015 3 mins read
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 →
Explore: competitive advantage ecommerce graph database neo4j product recommendations real-time recommendation Recommendation Engine retail competitive advantage sustainable competitive advantage Walmart
Reshipping Scams and Network Visualization
By Neo4j Staff
September 19, 2014 6 mins read
GraphConnect 2014 Sponsor, Linkurious, discuses mapping fraud with Neo4jOriginally posted on the Linkurious blogDrug lords are not the only persons using mules to launder money. eCommerce operations are confronted to “reshipping scams”. In these scams, mules are used by online… Read more →
Explore: ecommerce fraud Linkurious visualization