Log-hub Expands Its Supply Chain Apps with a New Advanced Analytics Segment and AI Agents

ZÜRICH, Switzerland - Feb. 11, 2026 - PRLog -- Log-hub AG announced the expansion of its Supply Chain Apps portfolio with a new advanced analytics segment including two new Premium apps, Supply Chain Designer and Shipment Flow Optimizer, alongside new AI capabilities. These new apps support companies in two closely linked decision areas: how to design effective multi-echelon supply chain networks, and how your shipments should flow through them efficiently and under real-world constraints.

The Supply Chain Designer addresses strategic and tactical network design questions by taking a product-based view of the complex, multi-echelon supply chain networks. The app helps companies structure product flows across suppliers, factories, warehouses, and customers while balancing transportation, processing, and storage costs with capacity and service requirements. By modeling product-specific logistics constraints, the app shows which sites should carry volume, where capacity limits restrict performance, and how fixed and variable costs influence network decisions, allowing companies to assess cost and service impacts before making structural changes.

Complementing network design, the Shipment Flow Optimizer focuses on how shipments move through an existing network by optimizing flows across time and space. It determines when shipments should go direct, when consolidation creates value, and how routes and transport services should be selected to minimize total logistics cost while respecting service commitments, time windows, and capacity limits. By evaluating all shipment movements together, the app treats warehouses and hubs as active decision points, helping companies identify bottlenecks, manage peaks, and understand the cost and feasibility impact of handling, storage, and transport capacity constraints.

To support faster execution of these advanced analyses, Log-hub also introduces the Supply Chain Apps Agent, an AI-powered assistant that runs optimization studies based on user-defined objectives and uploaded data. Users can describe their analytical goals and scenarios in natural language, and upload their data, after which the agent prepares the analysis, executes the models, and returns results in the form of data outputs, maps, and dashboards within the platform. The agent is expected to boost analyst productivity by running analyses in the background, allowing project teams to save time and focus on higher-value tasks.

In addition, Log-hub has introduced AI Data Sanity Check, a new AI-based feature that supports data preparation by identifying anomalies and inconsistencies. This helps reduce manual effort in data cleaning and improves the reliability of analytical results.

With this expanded advanced analytics segment, Log-hub brings together optimization and AI support in a single environment, enabling companies to design their supply chains, analyze operational flows, and run complex scenarios more efficiently, with greater transparency and confidence.

For more information, visit https://log-hub.com/supply-chain-apps/?utm_source=PRLog&a....