Back to Hub

AI in Procurement and ‘Autogmentation’ Part 4 — Procurement use cases of AI and Generative AI

Adobe Stock

In parts one, two and three of our series, we discussed how the evolution of technology has constantly penetrated the business world and how procurement hasn’t been immune to the phenomenon. Technology initially increased process velocity (automation) because of the move from analog to digital. With the increase in computational power, machines are taking over more and more tactical repetitive tasks. Then, this gradually moved to more complex tasks, which initially only required more analytical activities working in concert with humans (i.e., augmentation) but eventually evolved from predictive and prescriptive analytics towards more embedded and autonomous analytics that directly help execute the workflows.

This article requires a paid membership that has access to AP Automation / Invoice-to-Pay, Carbon Management, Contract Lifecycle Management (CLM), Core, E-Procurement, Procure-to-Pay, Source-to-Contract (S2C), Source-to-Pay (S2P), Sourcing, Spend & Procurement Analytics, Supplier Information & Relationship Management (SIM and SRM), Supplier Risk Management, or Vendor Management Systems (VMS).
Please log in or create an account to view this article
AI in Procurement and 'Autogmentation'
AI - Artificial Intelligence