News

Log-hub Integrates Supply Chain Apps with Claude and ChatGPT

August 2026 | Log-hub 6.3 Release

Log-hub now enables supply chain professionals to run Supply Chain Apps analyses directly from Claude and ChatGPT, using only a Supply Chain Apps API key and a free Claude or ChatGPT account. 

AI assistants have increasingly become part of how supply chain teams work. Yet the underlying analysis often remains split across specialist planning software, spreadsheets, and AI tools. Log-hub’s new integration closes that gap. 

Now, users can connect Supply Chain Apps to Claude or ChatGPT with an API key, then upload a cost file, demand file, or other data, combine it with existing analyses, validate results, compare scenarios, and generate charts, dashboards, and presentation-ready outputs, all in one conversation, with no software installation or separate integration project required. Results can be saved directly to the Log-hub platform, so colleagues can pick up the same analysis later. 

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The same applies in Excel. Users can run Claude for Excel alongside them to build or clean the datasets feeding into their analysis. 

This changes how people work. Planning managers can check recommendations against the latest data before presenting to leadership, and analysts spend less time moving figures between systems and more time testing scenarios. Claude and ChatGPT handle the conversation, while Supply Chain Apps still runs the calculations, so accuracy and traceability don’t change. 

Alexander Sigmund

Alexander Sigmund, CTO of Log-hub, comments:

Claude and ChatGPT are already where a lot of analytical thinking happens day to day. Instead of asking teams to export data from Supply Chain Apps and paste it somewhere else, we brought Supply Chain Apps to where that thinking is already taking place. This removes friction from supply chain analysis and lets planners focus more on the decisions behind the data.

This integration brings Log-hub’s supply chain analysis directly into the AI tools planners and analysts already use, while maintaining the same numbers and analytical rigor they expect from Supply Chain Apps 

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