This paper describes integrated solution that leverages Industrial Revolution 4.0 to sustain crude quality specifications for Saudi Aramco supply chain covering more than 50 GOSPs (Gas Oil Separation Plants), Pipelines, and Terminals. Sustaining crude quality specifications such water content (BS&W), salt content, etc. for the Arabian Crudes (Arab light, Arab Extra Light etc.) requires big data analysis across the supply chain. To address this challenge, Saudi Aramco developed a customized solution called Crude Quality Monitoring Solution (CQMS) which leverages 800+ critical data streams every minute (PI values), classifies the data according to the risk level impacting crude quality specifications. Three developed risk levels are leading proactive, lagging proactive, and lagging reactive, each of which has a defined acceptable risk matrix. Each risk matrix initiates automated notifications for corrective actions proactively. Moreover, patterns and operational events can be easily recognized in the solution visually. The paper also describes several examples where the solution notifications have proactively remediated process disturbances by up to 20% at upstream and downstream facilities while ensuring asset integrity. The solution deployment has also substantially improved the operational efficiency across the network by benchmarking critical data streams. Saudi Aramco is continuing to enhance the solution capabilities to ensure maximization of the crude network.