Page 554 - AI for Good Innovate for Impact

AI for Good Innovate for Impact

Cargowaves minimizes empty hauls by 30%, significantly reducing fuel consumption and
carbon emissions. The 100% digital workflow eliminates paper waste, lowering administrative
overhead. Automated scheduling reduces congestion and idle time by 50%, leading to more
sustainable resource consumption. The platform contributes to a 20% CO2 emissions reduction
per shipment, driving eco-friendly logistics operations.
As a collaborative logistics marketplace, Cargowaves connects transporters and cargo owners,
ensuring competitive pricing, enhanced visibility, and flexible cargo movement. Transporters
benefit from reduced idle hours and increased revenue opportunities, while customers gain
access to efficient and cost-effective transportation services, fostering a win-win ecosystem.

Lessons learned from production deployment:
1. Due to compliance and data privacy requirements, the initial data shared was limited,
making it challenging to build an accurate model.
2. During exploratory data analysis, we found that the dataset was highly imbalanced. To
address this, we used techniques such as SMOTE and random oversampling to improve
the performance of the boosting algorithm.
3. Considering the limited data that satisfied the criteria of the model, identifying the right
accuracy metric was also challenging. Arriving at a reliable F1 score required multiple
rounds of cross-validation.

2�2 Benefits of use case

Cargowaves enhances efficiency by automating workflows and leveraging AI-driven scheduling,
reducing manual labor and errors by up to 80%. Faster transaction times— improved by
75%—boost economic productivity, enabling transporters to scale operations. The platform
accelerates cargo throughput by 30%, lowers transport costs, and cuts idle truck hours by 50%,
strengthening regional trade and business competitiveness.

AI-powered load matching and 100% paperless workflows modernize inland transport. By
minimizing empty hauls by 30%, Cargowaves enhances industry resilience and optimizes
infrastructure usage. Its predictive analytics help terminals manage traffic patterns, reduce
idle time, and improve port efficiency, fostering a smarter, more sustainable logistics network.
Cargowaves minimizes empty hauls by 30%, significantly reducing fuel consumption and
carbon emissions. The 100% digital workflow eliminates paper waste, lowering administrative
overhead. Automated scheduling reduces congestion and idle time by 50%, leading to more
sustainable resource consumption. The platform contributes to a 20% CO2 emissions reduction
per shipment, driving eco-friendly logistics operations.

As a collaborative logistics marketplace, Cargowaves connects transporters and cargo owners,
ensuring competitive pricing, enhanced visibility, and flexible cargo movement. Transporters
benefit from reduced idle hours and increased revenue opportunities, while customers gain
access to efficient and cost-effective transportation services, fostering a win-win ecosystem.

2�3 Future work

AI-Driven Logistics & Digital Standards for CargoWaves

• Model Development: AI-Powered Predictive Logistics & Sustainability Optimization
CargoWaves is enhancing efficiency, reducing emissions, and optimizing costs through
AI-driven models.

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