DP World
Global logistics and supply chain
60+ countries, operating ports, terminals, and logistics parks
Digitally transform container management to improve efficiency, vessel safety, and resource optimization using AI.
Thousands of container locations created delays due to poor resource distribution.
Traditional methods struggled to maintain stability during loading and unloading.
Container placement complexity made legacy algorithms impractical at scale.
Needed to balance safety, space utilization, and efficiency while handling 10,000+ containers simultaneously.
AI models learned from operations, adapting placement dynamically.
Enabled real-time evaluation of thousands of container placement scenarios.
Optimized placement in under 1.5 minutes, improving speed and accuracy.
Balanced safety, space usage, and compliance while reducing empty runs.
Boosted crane and truck fleet efficiency by 10% through intelligent scheduling.
Core AI and reinforcement learning algorithms.
Deep learning framework for DQN training and deployment.
Seamless integration with DP World’s logistics systems.
Cleaned and optimized large-scale datasets for accurate model training.
Improvement in vessel stability through optimized placement.
10% boost in fleet (cranes and trucks) utilization with intelligent resource allocation.
Real-time optimization: 1,000 containers optimized in under 1.5 minutes.
Enhanced safety with reduced risks of instability and collisions.
Greater operational efficiency across large-scale logistics operations.
Improvement through optimized weight and dimension-based placement.
10% increase in crane and truck productivity with reduced idle time.
Reduced turnaround with placement decisions in under 1.5 minutes.
Balanced loading reduced risks of collisions and instability.
Streamlined logistics, fewer errors, optimized routes, and lower operating costs.
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You’re one step away from building great software. This case study will help you learn more about how Simform helps successful companies extend their tech teams.
