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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Predict weight, storage, and materials costs

Maximizing cost visibility is a common goal for large organizations, but it's one with a number of growing data management complexities. Discover how The U.S. Army uses Neo4j to track, manage and analyze operating and supporting costs for weapon systems across the logistics community.

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Quickly adapt to new compliance standards

Supply chain compliance standards and regulations often change alongside major economic events. Does your organization have the right processes in place to fully understand and visualize how changing regulations will impact your own and mandated quality standards? Discover how Transparency-One uses graph technology to equip their end customers with the visibility to ensure they remain in compliance.

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Detect fraud and counterfeit production

Traditional fraud analytics looks at discrete, isolated instances, but today fraudulent activity is highly sophisticated, organized and often appears normal on the surface – to the tune of $4 billion in fraudulent charges each year in the U.S. alone. Learn how graph databases help identify and prevent fraud in real time.

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Stabilize your supplier networks

The need for precise information about the components used to manufacture a finished product is of paramount importance. The more steps there are in the supply chain, the greater the risk of instability. Learn more about how graph database technology helps companies better manage complex relationships within supplier networks.

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White Paper

How Graph Technology Drives Modern Supply Chain Strategy

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

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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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