ORTEC's sophisticated algorithms go beyond basic calculations. They analyze the real-world characteristics of your products – dimensions, stackability, weight, and compatibility – to create dense, stable, and optimized loads to maximize vehicle fill rates and dramatically reduce wasted space.

Say goodbye to time-consuming manual planning. ORTEC automates load building and routing tasks, generating optimal plans in significantly less time – freeing up your valuable logistics team to focus on other critical activities.

By optimizing both how your goods are loaded and the routes they travel, ORTEC directly impacts your bottom line. Expect lower transportation costs through reduced fuel consumption, minimized empty miles, and efficient labor utilization.

Optimized loads and routes translate to smoother, more efficient deliveries and fewer delays. Enhanced reliability leads to greater customer satisfaction and strengthens your reputation.

ORTEC is specifically designed to work harmoniously within your SAP environment. It leverages your existing data and processes, ensuring data consistency and a streamlined workflow –without disrupting your current system.

Gain unprecedented insight into your loading operations with ORTEC's intuitive visual tools. 3D loading diagrams and map visualizations empower planners to assess and fine-tune load plans for optimal efficiency.

ORTEC's flexible platform can be customized to align perfectly with your specific business requirements and any relevant industry regulations. We'll collaborate with you to define the right KPIs to reach your goals.

Optimized routes and sensible load plans contribute to more feasible schedules for your drivers, boosting their satisfaction and minimizing potential on-the-road issues.

By generating precise load plans, ORTEC minimizes last-minute changes during loading, leading to smoother, more efficient execution and faster turnaround times.

Maximizing vehicle utilization and reducing unnecessary mileage helps your company minimize its carbon footprint and move towards a more environmentally responsible logistics operation.