AI-Driven Supplier Relationship Management in the Digital Enterprise: Quantifying Value and Resilience with SAP Ariba
Abstract
Global economic volatility driven by inflation, supply shocks, ESG expectations, and shifting buying behaviors is exposing limitations of transactional procurement models [4], [5]. This paper proposes an end-to-end supplier relationship management (SRM) framework anchored on the SAP Ariba Network that extends evaluation beyond unit price by incorporating process costs, risk-adjusted impacts, compliance leakage, and working capital effects. The paper maps Ariba capabilities to SRM components, defines a measurement approach for the cost of buying, and outlines an implementation roadmap with a KPI stack. Results are illustrated using benchmark-driven simulations and anonymized deployment patterns rather than a single empirical dataset [1], [4], [7].
Fields of Study & Subjects
Supply Chain Resilience and Risk Management
Digital Transformation in Industry
Supply Chain and Inventory Management
Publication details
- Journal / source
- International Journal of Artificial Intelligence Data Science and Machine Learning
- Publisher
- ScienceTech Xplore
- Volume
- 7
- Issue
- 1
- Pages
- 82–86
- Publication date
- 1 January 2026