AI-Powered Supplier Risk Intelligence in SAP Ariba: A Predictive Approach to Supply Chain Disruptions

This study explores the application of artificial intelligence (AI) in enhancing supplier risk intelligence within SAP Ariba, focusing on predictive approaches to managing supply chain disruptions. The purpose is to examine how AI-driven analytics can proactively identify, assess, and mitigate supplier-related risks before they escalate into operational failures. A mixed-method research design was adopted, combining quantitative data analysis from procurement datasets with qualitative insights from supply chain professionals. Machine learning models were developed to predict risk events based on historical supplier performance, geopolitical indicators, and financial stability metrics.

Key findings indicate that AI-powered risk intelligence significantly improves early risk detection, reduces disruption response time, and enhances decision-making accuracy. Organizations leveraging predictive analytics within SAP ecosystems demonstrated greater resilience and agility compared to traditional reactive approaches. The study concludes that integrating AI into supplier risk management frameworks is critical for modern supply chains facing increasing uncertainty.