Gartner®
AI Use-Case Assessment for Sourcing and Procurement
This research identifies some of the most prominent AI use cases across sourcing and procurement functions. Chief procurement officers should use this research to target the AI investments that deliver the right business value and are the most feasible for their organizations to undertake.

"AI automates task-based activities in sourcing events, including creating events, structuring lots and lines, scheduling, basic supplier communication, and collecting feedback, and provides decision support for bid analysis and awards."
Download your complimentary copy to discover why Gartner scores Autonomous Sourcing highest in the table of likely wins for AI in procurement and sourcing:
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Likely wins: Use cases combining medium-to-high feasibility with medium-to-high value, making them wins in most circumstances.
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Calculated risks: Use cases offering medium-to-high value but low-to-medium feasibility, meaning they represent riskier options.
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Marginal gains: Use cases offering low value and variable feasibility, making them more-selective options.
AI Use-Case Assessment for Sourcing and Procurement
By Magnus Bergfors, Kaitlynn Sommers, Micky Keck, Lynne Phelan, Cian Curtin
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Review the AI-enabled procurement and sourcing use cases plotted in the report, comparing them with the maturity and requirements of your own organization.