Optimized Container Management Across Locations for DP World With an AI-Powered Solution

We optimized container placement, reduced shuffling, and maximized resource allocation across 26,000+ locations, leveraging an AI-based yard management system.

Client Overview

  • Client

    DP World

  • Industry

    Global logistics and supply chain

  • Footprint

    60+ countries, managing over 26,000 container slots daily

  • Mandate

    Digitally transform yard management to optimize placement, cut costs, and enable real-time decision-making at scale.

Challenges We Overcome

DP World’s Yard Management Faced Bottlenecks That Increased Costs and Reduced Efficiency.

Scattered Yard Utilization

Random placement caused inefficient capacity usage and complex retrieval.

Constant Re-Handling

Containers were moved multiple times before dispatch, wasting time and fuel.

Lack of Agility

Static rules couldn’t adapt to import/export segregation or traffic surges.

Rising Cost Pressures

Fuel, labor, and equipment maintenance costs escalated without added value.

Decision-Making Bottlenecks

Manual evaluation slowed placement and retrieval in high-volume operations.

Solutions

INTECH Built a Custom AI-Powered Yard Management System (YMS) for Smarter Placement and Resource Use

Intelligent Container Segregation

Automatically categorizes imports, exports, and empties for faster retrieval.

Optimized Location Assignment

AI scored proximity, level, and distance to select the best-fit slots.

Sequential Allocation Logic

Grouped placements by zones (A, B, C) to streamline future dispatch.

Lower Level Preference

Reduced re-handling by avoiding high-level stacking when lower slots were available.

AI-Driven Scoring System

Multi-layered scoring balanced accessibility, efficiency, and long-term optimization.

Seamless Integration

A scalable design, utilizing Django, Redis, and REST APIs, ensured real-time performance across over 26,000 slots.

Tech Stack

Technology Stack That Powered AI-Driven Yard Management for DP World

Python

Built AI and ML algorithms for real-time optimization.

Genetic Programming

Simulated thousands of yard configurations for best-fit strategies.

Django Framework

Developed a secure, maintainable operator interface.

Redis Database

Enabled high-speed data storage for real-time container scoring.

REST API

Connected systems seamlessly for scalability.

Proximity & Distance Scoring Models

Reduced shuffling by evaluating container slot placement.

Sequential Allocation Logic

Structured grouping by container type and priority.

Results

Optimizing 26,000+ container slots demanded more than static rules. INTECH engineered an AI-powered Yard Management System that transformed placement, reduced costs, and improved yard efficiency.

Optimized yard utilization with intelligent grouping of containers.

Reduced unnecessary re-handling, cutting down fuel use and labor hours.

Enabled agile operations with wise segregation of import, export, and empty containers.

Lower operational costs through reduced fuel, labor, and equipment strain.

Real-time placement decisions powered by AI-driven scoring models.

Business Benefits

DP World Achieved Smarter, Scalable Yard Operations With INTECH’s AI-Powered Solution

  • More innovative Yard Utilization

    Containers grouped logically, maximizing slot usage and reducing congestion.

  • Reduced Container Shuffling

    Intelligent scoring cuts re-handling, saving time, fuel, and labor.

  • Greater Operational Flexibility

    Adapted to import/export/empty needs and sudden yard traffic changes.

  • Lower Costs

    Reduced fuel, labor, and equipment wear brought down operating expenses.

  • Faster, Data-Driven Decisions

    Placement decisions are automated in real time, freeing operators from manual evaluation

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