XY Logistics

What Was the Issue?

Despite its experience and advanced fleet, XY Logistics struggled with optimizing its cargo space utilization. This led to frequent trips with less-than-full loads, increasing their operational costs and environmental impact. Furthermore, they were relying on manual load planning, which was slow and often resulted in errors, causing delays in delivery schedules.

Key challenges:

• Inefficient use of cargo space
• High operational costs due to frequent trips
• Manual load planning was slow and prone to errors
• Delivery delays caused by poor load optimization

How Did We Help?

EasyCargo provided XY Logistics with a powerful and user-friendly tool that directly addressed their key challenges and improved their operations. Here’s how:

• Automated load optimization:
  XY Logistics replaced its manual planning process with EasyCargo’s automated algorithm, which generates the most efficient load plan by considering cargo dimensions, weight, and truck capacity. This eliminated manual errors and reduced planning time by 50%.
• Optimized cargo space usage:
  EasyCargo’s algorithm ensures that every inch of the truck is used optimally, reducing the number of trips required. This led to a 20% reduction in transportation costs and improved environmental impact.
• Load visualization in 3D:
  With 3D load visualization, the logistics team can instantly verify the correctness of the load plan. This feature ensures that loads are properly balanced and safe, minimizing the risk of improper loading that could cause delays.
• Exportable load plans:
  Once a load plan is ready, XY Logistics exports it as a clear and detailed PDF, which is shared with warehouse staff and drivers. This streamlined communication significantly reduced misunderstandings during loading.

By implementing EasyCargo, XY Logistics transformed its planning process—making it faster, more accurate, and far more efficient.

What Are the Results?

After implementing EasyCargo, XY Logistics saw a significant transformation in its operations. By switching to automated load planning, they reduced planning time by 50%, allowing their logistics team to focus on more strategic tasks. With better cargo space utilization, the company lowered the number of trips by 20%, resulting in a measurable decrease in fuel consumption and saving approximately €50,000 annually in transportation costs.