Retailers face challenges in managing complex supply chains due to a lack of visibility, which can lead to risks such as contamination, fraud, and single points of failure. Graph technology provides a solution by enabling retailers to manage and search large volumes of data with no performance issues, allowing them to detect problems quickly and take proactive measures. A graph database is designed to handle recursive queries and JOINs, making it suitable for complex supply chain management. The use of Neo4j has enabled companies like Transparency-One to build a platform that provides real-time visibility into their supply chains, enabling them to make data-driven decisions and improve operational efficiency. By reimagining their data as a graph, retailers can transform a complex problem into a simple one and pinpoint critical junctures in the supply network, allowing human managers to instantly fix problems and create a sustainable competitive advantage.