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AI for Good Innovate for Impact

Use Case 3: CargoWaves: The AI-Driven Inland Transport Platform

Designed to Transform Logistics and Transport Industry Transport 4.10: Intelligent

Country: United Arab Emirates

Organization: DP World Country

Contact Person(s):

Sabeen Muhammad – Sabeen.Muhammad@ dpworld .com, +971 4 8898330, +971-55-
2794335
Marwa Iqbal Mir Khoory – Marwa.Khoory@ dpworld .com, +971-4-8896789

1 Use Case Summary Table

Item Details

Category Intelligent transport
Problem Previously, inland transport was plagued by inefficiencies such as manual
Addressed truck booking, high dependency on brokers, limited real-time tracking, and
excessive empty runs. These inefficiencies led to increased costs, delays,
and environmental impact. By leveraging AI to optimize transport opera-
tions, Cargowaves eliminates fragmentation, reduces costs, and enhances
sustainability, shaping the future of smart logistics.
Key Aspects of • Optimization of the booking process
Solution • Tracking of the movement container from loading to delivery.
• Improved visibility of truck movements in the port for the terminal oper-
ations department.
• Enhanced milestone notification to all the relevant parties involved.
• Improved driver and terminal ops communication for support purposes.
• The key aspects of AI used in the solution were the Haulier recommen-
dation model, Time slot Recommendation Models
Technology Python, Rust, NextJS, PostgreSQL, XGBoost
Keywords
Data Availability Private

Standards We adhere to ISO 27001 for ISMS in implementing our solutions &
CRISP(Cross industry Standard Process)-ML (for AI model development)
Input – Text-based via web

Metadata (Type of Text (Relational Data)
Data)

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