英文【GEP】采购中的101个顶级AI用例

1101 TOPAI USE CASES IN PROCUREMENTTESTED, PROVEN, AND EMERGING APPLICATIONS OF AI THAT EVERY PROCUREMENT PRO MUST KNOW2Executive SummaryProcurement stands at a critical inflection point. The traditional model, reliant on manual processes and fragmented data, is no longer sustainable in the face of growing complexity, supply chain disruptions and economic volatility. Enter Artificial Intelligence (AI) — a transformative force reshaping procurement from a tactical function to a strategic powerhouse.Leading research firms like Gartner and Forrester agree: AI can dramatically reduce cycle times, improve compliance, surface new insights and enhance supplier collaboration. In fact, AI is now viewed as essential infrastructure for the next-generation Source-to-Pay (S2P) function.This paper explores 101 real-world AI use cases across the procurement lifecycle — from analytics and sourcing to invoicing, ESG and intelligent automation. Each use case is paired with a practical description and clear business value, helping procurement leaders cut through the hype and understand how to operationalize AI today. While many organizations begin with automation or predictive analytics, the most advanced teams are moving toward agentic AI — autonomous systems that connect, learn and act across workflows. Whether you’re just getting started or scaling your AI roadmap, this primer offers inspiration, structure and strategic clarity for your journey.Here’s how AI is already transforming procurement — one use case at a time.What Is Agentic AI — And Why Does It Change Everything?Unlike traditional automation, which follows static rules, agentic AI refers to autonomous AI systems — or “agents” — that can reason, plan and act independently. These agents continuously learn from data, adapt to new inputs and proactively execute tasks on behalf of procurement professionals.In the context of procurement, agentic AI can:● Monitor market and supplier data in real time● Automate repetitive workflows like approvals, classifications, and reconciliations● Provide intelligent recommendations for sourcing, pricing, and contract terms● Engage users through natural language interfacesThe result is not just automation — it is intelligent orchestration across the entire S2P lifecycle.While many of the 101 use cases in this paper are powered by machine learning, predictive analytics, and intelligent automation, agentic AI represents the next leap — where systems don’t just support decisions, they help drive them. These agents act on goals, not just triggers, and continuously adapt based on outcomes and feedback.Agentic AI is what makes it possible to connect siloed use cases into a cohesive, end-to-end experience. It’s the layer that links a flagged compliance issue to a contract revision, or a supply risk alert to a sourcing action — autonomously, contextually, and in real time. You’ll find early signs of agentic behavior across the use cases in sections 7–10 — where AI doesn’t just su