Use Case: Supply Chain

Future-Proof Your Supply Chain With Graph Technology

Enable true end-to-end supply chain visibility and build a more agile, resilient supply network. Leverage the unique insights of graph analytics to predict disruptions, anticipate cost and demand fluctuations, improve sustainability, and more.

Supply Chain Management Illustration

Anticipate shifts in consumer demand

Procurement firm Scoutbee offers deep insights into supply chains and supplier networks for the world’s largest businesses — and it relies on Neo4j graph technology to power those insights. Learn how Scoutbee used knowledge graphs to identify patterns in supply chain data, create visualizations of supplier interdependencies, and cut supplier discovery time by 75%.

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Resources

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White Paper

How Graph Technology Drives Modern Supply Chain Strategy

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Blog

Natural Language Processing (NLP) for Maintenance and Supply Chain Management at Caterpillar

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News

Graphs to Fight the Coronavirus Pandemic

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Case Study

Boston Scientific: Graph Data Science Streamlines Complex Medical Supply Chain Analysis

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Case Study

Custom Medical Equipment Manufacturer: Detailed Visibility into Complex Workflows

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Case Study

Neo4j + Google Cloud Transforming Your Supply Chain

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