Gartner Says Generative AI for Procurement Has Hit Peak

Rapid adoption and a multitude of credible use cases will quickly move GenAI to the Plateau of Productivity within two years.

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Generative AI (GenAI) for procurement is at the Peak of Inflated Expectations, according to Gartner, Inc.’s 2024 Hype Cycle for Procurement and Sourcing Solutions. Rapid adoption and a multitude of credible use cases will quickly move GenAI to the Plateau of Productivity within two years.

“GenAI can already enhance many different workflows in procurement and 73% of procurement leaders at the start of the year expected to adopt the technology by the end 2024," says Kaitlynn Sommers, senior director analyst with Gartner’s Supply Chain Practice. "This level of adoption, along with promising use cases, such as contract management, means GenAI will rapidly move through the Hype Cycle and reach the Plateau of Productivity at a faster rate than is typical for most emerging technologies in procurement.”

Key Takeaways:

  • Gartner’s Hype Cycle for Procurement and Sourcing Solutions evaluated more than 20 technologies impacting the procurement landscape in 2024. This year, many core procurement technologies continued to mature and increase in adoption across organizations. Additionally, a set of emerging, AI-driven technologies neared the Peak of Inflated Expectations, including GenAI, autonomous sourcing, predictive analytics and conversational AI (see Figure 1).GartnerjulyGartner (July 2024)
  • In the last 12 months, GenAI use case availability has expanded greatly, with more capabilities being added by vendors across the sourcing and procurement landscape every month. Early prominent use cases include contract management, sourcing and supplier management. Additional expected use cases include supporting supplier performance management, P2P and analytics.
  • Procurement technology vendors are integrating third-party large language models (LLMs) to provide more affordable access to GenAI capabilities in line with digital process support. These LLMs can adapt to provide recommendations and support based on the organization’s data and an individual’s procurement role, such as category manager or buyer.  
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