Use Cases: Supply Chain Management

Graphs in Supply Chain Management

Graph technology is essential to optimize the flow of goods, uncover vulnerabilities and boost overall supply chain resilience. Discover how Transparency-One, Caterpillar and others use supply chain graph technology to ensure business continuity.

Supply Chain Management Illustration

Shifts in Consumer Buying Patterns

The customer is now at the center of the value chain. However, real-time control of inventory, payment, delivery systems and overall responsiveness is complicated – especially if you're slowed down by legacy infrastructure. Find out how to address these challenges with graph database technology.

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Unpredictable Costs for Materials, Warehousing and Freight

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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Changes in Compliance Standards and Regulations

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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Fraud and Counterfeit Production of In-Demand Items

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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Unstable 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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On-Demand Webinar

Graphs in Automotive and Manufacturing: Unlock New Value from Your Data

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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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