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The Impact of AI in Supply Management

Name: The Impact of AI in Supply Management
SKU: 978-1-60427-215-4
Availability: BackOrder

Retail Price: $59.95

$49.95

The Rise of Intelligent Procurement
Melissa Drew
Hardcover, 6×9, 296 pages
ISBN: 978-1-60427-215-4
e-ISBN: 978-1-60427-870-5
June 2026
Part of the J. Ross Publishing Intelligent Procurement Series

Available on backorder

SKU: 978-1-60427-215-4 Categories: Business, Operations Management, Supply Management and Procurement Books

Description

Moving beyond the hype, The Impact of AI in Supply Management explains how advanced analytics, machine learning, and generative AI can be responsibly integrated into procurement’s strategy, operating model, and culture. With a strong emphasis on trust, governance, and explainability, this book shows how AI becomes a structural capability—not a bolt-on tool—reshaping how procurement delivers value across the enterprise.

What truly distinguishes this work is its people-centered approach to intelligent procurement. With insights tailored for executives, practitioners, suppliers, and regulators, the book positions AI not as a threat to procurement professionals but as a force that elevates their strategic impact, resilience, and relevance. Readers will gain an end-to-end view of AI’s impact across spend analytics, supplier management, contracts, risk, and sustainability, leaving them equipped to lead with clarity, confidence, and responsibility in an AI-enabled future.

Key Features

Clearly explains the technologies powering modern procurement, including machine learning, deep learning, natural language processing, robotic process automation, computer vision, and generative AI
Describes exactly where AI adds the most impact and where human judgment must remain firmly in control
Offers practical frameworks you can use immediately in strategy sessions, board discussions, and transformation roadmaps
Helps prepare your team and yourself for the future roles, skills, and shifts AI will demand of your supply management organization
Contains guardrails for AI literacy, helping procurement professionals interpret, challenge, and govern AI insights responsibly
Explores how AI reduces bias, improves supplier evaluation, and strengthens compliance with ESG and regulatory requirements

About the author(s)

Melissa Drew is an international keynote speaker with over 30 years of experience in data and digital transformation. Her professional career has contributed to her breadth and depth of knowledge working in the private sector, with start-ups, and as a consultant with Kearny, Deloitte, and IBM. She focuses on how emerging technologies impact procurement and supply chain organizations. Ms. Drew was ranked #34 of the Top 100 Women in Supply Chain 2023, was named a Top 25 Global Consultant in 2025, and is a Top 50 Global Thought Leader and Influencer in 2024. She hosts the “AI Literate Citizen” podcast, interviewing leaders worldwide to educate listeners on how AI is impacting them personally and professionally.

Melissa is a TEDx speaker who has been featured in AI Time Journal, Tech Exec Magazine, and various data and technology podcasts. She is a founding member of Women Leaders in Data and AI and the founder of the nonprofit organization The AI Literate Citizen, which advocates for and educates global citizens of all ages about AI literacy. Melissa is a guest lecturer at the Rutgers Business School Supply Chain Program on Emerging Technologies. When not writing or speaking, Ms. Drew mentors, travels internationally, and tries to keep up with her twin teenage daughters. One of her most outstanding achievements is remaining cancer-free since October 2022.

Chapter 1: Introduction to Artificial Intelligence in Procurement
Perspectives on AI in Procurement
Why It Matters
AI Adoption Triggers
AI’s Impact on Procurement Decisions
Key Takeaways

Chapter 2: AI Technologies Transforming Supply Management and Procurement
Robotic Process Automation
Machine Learning
Deep Learning
Natural Language Processing
Computer Vision
Neural Networks
Generative AI
Roadmap to the Future
Conclusion

Chapter 3: AI in Financial Optimization
Cost-Savings Opportunities
Techniques for Cost Savings
Hidden Savings in Strategic Categories
Real-Time Budget Tracking and Optimization
Key Takeaways

Chapter 4: AI in Supplier Management
Supplier Selection and Onboarding
Supplier Risk Assessment and Fraud Detection
Performance Monitoring with AI-Driving Insights
Key Takeaways

Chapter 5: AI in Contract Automation, Risk, and Compliance
AI’s Role in Contract Lifecycle Management
Automated Review and Risk Assessment
AI-Driven Compliance Monitoring
NLP for Negotiations and Redlining
Risks, Limitations, and Ethical Considerations
Future Outlook for Intelligent Contracts
Challenges on the Horizon
Key Takeaways

Chapter 6: AI in Sustainability and Ethical Procurement
Shifts in Focus
AI Applications in Sustainable Sourcing
AI for Monitoring Supplier Compliance with ESG Standards
Ethical Sourcing Powered by AI Insights
The Future of AI in Ethical and Sustainable Procurement
Challenges and Ethical Considerations
Key Takeaways

Chapter 7: Challenges of Implementing AI in Procurement
The Paradox of AI in Procurement
Change Management and Workforce Readiness
Cybersecurity and Data Privacy Concerns
Turning Challenges into Enablers
Ethical Leadership in the Age of AI
Key Takeaways

Chapter 8: AI in Procurement Policies
Modernizing Policies
AI-Enabled Policy Dimensions
Closing the Traditional Weak Spots
AI-Enabled Policies
Key Takeaways

Chapter 9: Building the Business Case for AI in Procurement
Foundations of an AI Business Case
ROI Calculations and AI-Readiness Assessments
Overcoming Resistance to AI Adoption
Building a Phased Investment Case
The Three Phases of AI Investment in Procurement
Representative Case Study: Bringing it Together
Key Takeaways

Chapter 10: Human-AI Collaboration in Procurement
Traditional Roles Shift to AI-Enabled Functions
Skills Required in an AI-Driven Future
Balancing Automation with Human Judgment
Impact on Procurement Professionals
Key Takeaways

Chapter 11: The Intelligent Procurement Organization
Near Future (1–2 years) – Augmented Procurement
Mid-Term Future (3–5 years) – Intelligent Procurement
Long-Term Future (5–10 years) – Autonomous Procurement
Visualizing the Organizational Shift
A Catalyst for the Future

Chapter 12: Future Trends and the Road Ahead
Blockchain-AI Integration for Procurement Transparency
Autonomous Decision-Making in Procurement
Quantum Computing in Procurement Analytics
Emerging AI-Powered Procurement Strategies
The Road Ahead: How Far and How Fast?
A Theoretical Future Procurement in 2035
Conclusion: The Next Frontier

Index