How agentic AI fits into Supply Chain Management

Agentic AI has been the thing this year, buoyed by the notion that Large Language Models (LLMs) can fill in the cracks in existing automation approaches. Most vendors of existing Supply Chain Management platforms (SCM) are adding LLM-enhanced agentic capabilities to their tooling mix. Also, Decision Intelligence vendors are making considerable progress in streamlining supply chain processes with better data management and more traditional AI techniques.

Tim Mitrovich, CEO of Artisan Studios, argues that although these tools can help, there are still significant gaps to address in improving SCM workflows. Data is often fragmented, coming from many different systems and in various formats. And the data used frequently does not represent the same point in time.

As a result, stakeholders and decision-makers find it hard to trust this data and often rely on their experience or tribal knowledge to solve their own problems. They also often err in not solving ...