Artificial Intelligence (AI) is enhancing Supplier Quality Management (SQM) in the Omnex system through higher data driven decision making, decreasing risk, and improving performance in supply chain management. SQM processes like supplier evaluations, audits, and corrective action have traditionally used a reactive approach with intensive manual activities. The Omnex system integrates Artificial Intelligence (AI) into SQM to support automated and streamlined processes where suppliers quality issues can be identified, supplier performances can be monitored in real time, and can be measured against industry standards of IATF 16949 and ISO 9001 for compliance.The AI algorithms in the Omnex system can analyze massive amounts of supplier data to understand the trends, predict non-conformities, and recommend preventative actions. This will lead to shorter response times and fewer costs because defects and disruptions are minimized. The machine learning models can prioritize supplier risks which will help quality organizations prioritize quality management efforts focused on critical suppliers. AI driven dashboards could provide a consumer clear actionable insights with enhanced visualization and trend analysis.Integrating AI on the Omnex platform SQM tools such as APQP, PPAP, and FMEA close the loop on quality management and instills progressive improvement. In summary, AI will provide an advantage for organizations using Omnex to move from reactive supply quality strategies, to predictive supplier quality strategies to enhance collaboration capabilities with suppliers, compliance, and product excellence in the value chain.