Agentic AI for Smart Procurement: Transforming Decision-Making and Automation

This book explores how AI-powered procurement is transforming supply chain operations by enhancing efficiency, automating workflows, and reducing costs. It delves into the role of agentic AI in sourcing, contract negotiation, risk assessment, and fraud detection. By integrating AI with ERP and supply chain systems, organizations can optimize procurement strategies while ensuring compliance and transparency.

The book is structured into four parts:

Architecting an Agentic AI Procurement System – Covers the core components of AI-driven procurement, the integration of AI with enterprise systems, and the ethical considerations involved.

Intelligent Automation in Procurement Workflows – Examines AI-driven supplier discovery, contract negotiations, and dynamic pricing. It explains how AI agents predict demand, optimize costs, and reduce procurement risks.

Real-World Applications and Case Studies – Showcases AI in manufacturing, retail, and public sector procurement, with case studies highlighting successful implementations and key learnings from enterprise adoption.

Future of AI-Driven Procurement – Explores the next generation of autonomous procurement agents, blockchain-based smart contracts, and generative AI applications in procurement. It provides a strategic roadmap for building an AI-ready procurement organization.

The book emphasizes the importance of ethical AI adoption, governance, and balancing automation with human oversight. It highlights the future of procurement as fully autonomous, data-driven, and highly optimized. AI-driven procurement is not just an innovation—it’s a strategic necessity for organizations looking to stay competitive and resilient in a rapidly evolving market