Welcoming Hexaly: The Next-Gen Solver
The core advantage of Hexaly lies in how it searches for solutions. Where other solvers can struggle with nonlinear problems and combinatorial challenges such as vehicle routing, Hexaly’s hybrid approach allows it to find high-quality solutions at a scale and pace that opens entirely new possibilities.
In practical terms, this means Supply Chain Apps will be able to work with significantly larger models and increasingly complex business constraints, while creating new opportunities for future developments in supply chain planning and logistics planning. The enhanced optimization capabilities will support the next generation of applications designed to address more dynamic and interconnected supply chain challenges.
A New Phase for Log-hub’s Optimization Capabilities
The core advantage of Hexaly lies in how it searches for solutions. Where other solvers can struggle with nonlinear problems and combinatorial challenges such as vehicle routing, Hexaly’s hybrid approach allows it to find high-quality solutions at a scale and pace that opens entirely new possibilities.
In practical terms, this means Supply Chain Apps will be able to work with significantly larger models and increasingly complex business constraints, while creating new opportunities for future developments in supply chain planning and logistics planning. The enhanced optimization capabilities will support the next generation of applications designed to address more dynamic and interconnected supply chain challenges.
“By combining advanced heuristics, nonlinear optimization, and set-based modeling, we can solve highly complex scenarios with new levels of speed and scalability. This will enable real-world solutions built around dynamic network models and next-generation planning architectures.”
Aleksandar Manic, Development Team Lead in Log-hub
Built for the Complexity That LSPs and Industrial Teams Actually Face
Whether evaluating a warehouse consolidation for a logistics service provider, stress-testing a distribution network in pharma, or modeling multi-echelon scenarios in consumer goods, Log-hub customers can now go further in their analysis.
The integration of Hexaly expands the optimization capabilities available within Log-hub’s Supply Chain Apps, enabling users to tackle increasingly complex planning scenarios while continuing to work within the environment they already know.
The partnership also extends beyond Supply Chain Apps. As part of its Data Analytics & AI (DAA) offering, Log-hub will leverage Hexaly to develop advanced custom optimization solutions and decision-support models tailored to specific customer challenges. This creates new possibilities for organizations looking to combine data, simulation, and optimization within a single decision-making framework.
This collaboration reinforces Log-hub’s commitment to giving supply chain professionals not just tools to visualize complexity, but the computational power to resolve it.
Catch up with our latest news
Customer Saves Millions on US Tariffs With an Automated Compliance Engine
NewsCustomer Saves Millions on US Tariffs With an Automated Compliance EngineSeptember 2026 | Cost Saving InitiativeLog-hub's cost-saving initiative for logistics service providers and manufacturers helped a manufacturing customer avoid import blocks and save millions...
Supply Chain Analytics Pulse Goes Live for a Webinar on Responsible AI
NewsSupply Chain Analytics Pulse Goes Live for a Webinar on Responsible AISeptember 2026 | Supply Chain Analytics PulseSupply Chain Analytics Pulse will host a live webinar on responsible AI in supply chain and logistics. The session will take place on September 16,...
Log-hub Launches 3D Container Loading App to Cut Containers and Costs Through Real-World Load Planning
NewsLog-hub Integrates Supply Chain Apps with Claude and ChatGPTAugust 2026 | Log-hub 6.3 ReleaseLog-hub has launched its 3D Container Loading App as part of the latest release, helping supply chain teams use container space more efficiently and lower transportation...






Recent Comments