Supply chain intelligence is a systematic approach to collecting, analyzing, and acting on data to improve performance across all aspects of the supply chain. This approach enables companies to acquire real-time information that strengthens business decision-making and operational efficiency. Supply chain intelligence helps companies improve risk management by identifying and mitigating risks and rapidly responding to crises. It also enables faster time to market, better customer service, and cost control through improved forecasting and operational efficiency. With the increasing complexity of modern supply chains, adopting a data-driven approach has become crucial for competitiveness and profitability. Supply chain leaders are focusing on end-to-end visibility, forecasting, real-time decision-making, cost control, sustainability, and supplier interdependencies to achieve these objectives. To achieve these goals, they are turning to supply chain intelligence and the data technologies that support it. Graph databases have emerged as a key technology for supply chain management due to their ability to model complex relationships and handle large volumes of interconnected data. By leveraging graph databases, companies can visualize their supply chains, optimize partnerships, and respond to disruptions in real-time, ultimately driving modernization and future-proofing of the supply chain.