Neo4j DEMO Improving Customer Experience using Graphs

In this demo, we show how graph technology and graph algorithms can significantly improve customer experience using Neo4j.

Watch how connected data enables

• Entity Resolution – Unifying fragmented customer records into a single, accurate customer view
• Customer Segmentation – Identifying meaningful behavioral and relationship-based segments
• Churn Prediction – Detecting at-risk customers using graph-based signals and network patterns

Unlike traditional relational approaches, graph databases uncover hidden relationships across customers, products, transactions, and interactions — enabling more accurate insights and real-time personalization.

This walkthrough demonstrates how organizations can use connected data and graph data science to drive smarter marketing, reduce churn, and increase customer lifetime value.

Technologies featured

• Graph Database
• Graph Data Science
• Entity Resolution
• Customer 360
• Churn Analytics
• Customer Segmentation
• Connected Data

If you're exploring advanced analytics, AI-ready data foundations, or graph-powered customer intelligence, this demo shows what’s possible.