EU Innovation Project • 2025-2028
Optimized Routing with 3D Loading Constraints
ORoLoC3D develops and validates an innovative logistics optimization application that integrates routing decisions with 3D loading constraints, enabling SMEs to improve operational efficiency and economic performance through advanced optimization and AI.
About the Project
Next-Generation Logistics Software
In real operations, routing and loading cannot be planned in isolation: a cost-optimal route is not useful if the cargo cannot be loaded safely, in the right order, and within vehicle constraints. ORoLoC3D advances an integrated routing-and-3D-loading optimizer towards commercial readiness by adding AI-assisted “learn to load” capabilities, improving runtime performance, and completing productization (UI/UX, security, packaging, and monitoring) to help SMEs plan faster and execute reliably.
3D Loading Optimization
Maximizes cargo space utilization while enforcing practical constraints such as weight distribution, load stability, and unloading order, supported by AI-assisted “learn to load” for faster feasible packing.
Advanced Routing
High-quality route planning, powered by a hybrid optimization engine (MILP, CP, tailored heuristics) and optionally integrated with 3D loading feasibility.
Sustainability Focus
Enables more efficient transport plans and higher vehicle utilization, helping reduce empty space, miles traveled, and emissions in logistics operations.
Modular & Scalable Architecture
A modular design that fits different planning workflows, complemented by a monitoring dashboard and user-friendly visualization tools to track runs, performance, and core KPIs.
The Consortium
Industry Meets Academia
Our consortium combines industry-grade software engineering with academic expertise in Operations Research to deliver practical, high-impact logistics solutions.
OptiMathR specializes in software development and AI, delivering practical solutions for real-world operational problems.
World-renowned research institute specializing in combinatorial optimization, mathematical modeling, and algorithm design.
Funding
Aligned with the Vanguard Initiative AI Pilot
ORoLoC3D is a VInnovate Call 2024 project funded by Emilia-Romagna and North-East Romania, supporting cross-regional collaboration on AI-enabled logistics optimization.
Funding supports the development of commercial-grade software modules and industry pilot deployments.
Total Project Budget
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