Agentic AI Supporting the Strategy-to-Plan Phase in Procurement

Bernardo Nicoletti
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Bernardo Nicoletti: Temple University, Fox School of Business

Chapter Chapter 5 in Agentic AI for Procurement, 2026, pp 91-112 from Springer

Abstract: Abstract The emergence of agent-based artificial intelligence (AAI) systems is revolutionizing the strategic procurement landscape and overcoming the limitations of traditional, human procurement methods. This chapter examines how AAI impacts all strategic procurement and partner selection areas, as it can operate independently. This chapter discusses the complex ideas behind AI, such as decision structures, multi-criteria decision analysis, and the ability to gather market intelligence. This chapter discusses how AAI can be used for in-depth partner evaluation, real-time risk assessment, and dynamic performance monitoring throughout the procurement cycle. The chapter also describes how AAIs develop negotiation methods, intelligent matching algorithms, and contract optimization capabilities. The chapter discusses important difficulties that must be solved during implementation, such as good organizational change management, good governance and control systems, and smooth integration. The chapter discusses fascinating things, such as how AAI can be used in larger ecosystems and how moral and legal issues are changing (Hickok, 2022). This in-depth chapter shows how AAI is improving procurement, reducing the need for humans, and transforming procurement from a transactional to a strategic organizational function (Allal-Chérif, O., Simón-Moya, V., & Ballester, A. C. C., Journal of Business Research 124, 69–76, (2021)).

Keywords: Agentic AI; Strategic procurement; Partner selection; Autonomous systems; Procurement intelligence; Multi-criteria decision analysis; Strategy-to-plan (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-032-23024-9_5

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DOI: 10.1007/978-3-032-23024-9_5

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