Log-hub Introduces Supply Chain Agent to Simplify Interaction with Advanced Supply Chain Analytics

SCHINDELLEGI, Switzerland - Feb. 13, 2026 - PRLog -- The Supply Chain Agent is designed as an agent-based interaction layer within Log-hub's platform. Instead of navigating multiple applications or configuring analyses manually, users can describe a supply chain problem in natural language, defining the intent and desired outcome. The Agent then identifies analytical modules, executes the required calculations, and uploads results directly into the user's workspace.

This interaction model is built around human AI collaboration. The AI handles the heavy lifting of configuration and execution, while the human user retains control over strategy and decision making. Users define the objective, while the Agent automates tool selection, configuration, and execution.

For example, logistics professional can request a center of gravity analysis by describing the distribution challenge in plain terms. The Agent interprets the request, selects the appropriate analytical module, runs the calculation based on the available data, and returns the recommended location with supporting outputs.

"Workflows have traditionally relied on a combination of specialized applications, spreadsheets, and manual data handling," says Alexander Sigmund, CTO of Log-hub. "Our goal is to make interaction with advanced analytics more intuitive, so users can focus on decision making rather than tool configuration."

Unlike rule-based chat interfaces, the Agent is designed to orchestrate analytical workflows. It can analyze supply chain scenarios, trigger relevant processes, and automate recurring analytical tasks with limited user intervention. The intent is not to replace human expertise, but to support it by reducing friction, execution time, and the risk of manual error.

The introduction of the Supply Chain Agent reflects broader changes across the supply chain landscape. Ongoing volatility, increasing network complexity, and persistent talent shortages have placed additional pressure on planning teams. At the same time, platforms have grown more sophisticated, often at the cost of usability. Agent-based interfaces are emerging to bridge this divide, enabling professionals to access advanced analytics without deep technical specialization.

"Our vision is to enable users to collaborate with the software," Sigmund adds. "Instead of clicking through menus, they interact with the system in a way that mirrors how they already think about supply chain problems."

While many enterprise platforms are integrating generative AI features, Log-hub applies agent-based automation specifically to recurring operational challenges in logistics and supply chain planning such as scenario evaluation, application selection, and analytics execution.

This enables faster iteration and the evaluation of more scenarios than would be practical with manual workflows, supporting better decision-making.

You can test it out for free: AI Agents • Log-hub (https://log-hub.com/ai-agents/)