November 8, 2025Open Access

Real-World Evaluation of Hybrid Green AI for Sustainable and Efficient Smart Supply Chain Distribution

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Framework demonstrates improved carbon emissions and operational efficiency in smart supply chains, highlighting dynamic demand patterns.

Experiments showed a 26.7% reduction in carbon emissions and costs using the framework.
The optimization achieved the lowest average response time of 120 ms under dynamic demand conditions.
Utilizing metaheuristics, the system enhances delivery routes based on real-world geographic data.
The results point to a sustainable method of improving supply chain logistics and environmental responsibility.

Hassouna et al. (2025) studied this question.

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