This repository contains worked examples for applying Neo4j Graph Data Science to supply chain, logistics, and transportation problems. Each subdirectory contains its own analytical workflow and ...

Complete supply chain visibility is crucial for control, bottleneck identification, and understanding suppliers. While traditional databases struggle with complex queries, graph databases excel in ...

Today’s food supply chains are vast and wide-ranging ... There are a number of graph databases available, and as an example the Neo Technology’s Neo4j, which took 3 months to build, was tested with ...

Supply chain material flow is the process of transforming and transferring materials along the stages of a supply chain. It involves planning, executing, and controlling the physical flows of ...

Shifting from structural to dynamic visibility is essential for companies looking to gain a competitive edge in their supply chains, and this is where graph databases come into play. Unlike ...

The fact was that fragmented knowledge was clouding the global view of cost transparency, supply chain resilience ... and amend the relevant entry in the graph database. “In the chemical industry, ...