Log-hub Chief Executive Officer Jan Sigmund has outlined his views on the use of artificial intelligence in supply chain analytics during an appearance on the Supply Chain Connect podcast. He said the technology is changing how planners interact with analytical tools.

Sigmund described a shift away from specialist software skills and towards framing business questions more clearly, as AI tools take on more of the work of interpreting requests, cleaning data and presenting results in plain language.

The discussion reflects a broader debate across business software about whether generative AI will replace specialist roles or change how they are carried out. In Sigmund's view, supply chain planning is likely to follow a pattern already seen in software development, where work moves from direct production towards supervision and direction.

He compared the shift to coding, arguing that programmers have not disappeared even as AI tools have taken on a larger role in writing software. Instead, their work has moved towards guiding systems and checking outputs, and he expects a similar change in supply chain functions.

That shift matters in a field where advanced analytics has often been limited to specialist teams, external advisers or companies with large budgets. Network design and other planning exercises have historically required expensive licences, technical expertise and long project timelines, making them difficult for many companies to run in-house.

Sigmund argued that easier interfaces could widen access to those tools. He linked that idea to Log-hub's products, including supply chain applications built as an Excel add-in, as well as the company's integrations with Claude and ChatGPT.

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