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@article{193131,
        author = {Sabitha},
        title = {AI FOR ECO-EFFICIENT LOGISTICS AND TRAVEL SERVICES},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {9},
        pages = {4160-4164},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=193131},
        abstract = {Many of the new technologies hitting the market are promising to make disruption and changes an “experience of resilience” for the logistics businesses. While we can’t vouch for all of them, artificial intelligence or AI in transportation and logistics definitely emerges as a promising option. In recent years, the integration of artificial intelligence (AI) into logistics optimization has gained significant attention, particularly concerning sustainability criteria. This article provides an overview of the diverse AI models and algorithms employed in logistics optimization and also in travel services, with a focus on sustainable practices. The discussion covers several techniques, including generative models, machine learning methods, metaheuristic algorithms, and their synergistic combinations with traditional optimization and simulation methods. By employing AI capabilities, logistics stakeholders can enhance decision-making processes, optimize resource utilization, and minimize environmental impacts. Nowadays, people started travelling more-so, artificial intelligence will be more helpful to get eco-friendly travel all over the world. In light of mounting environmental issues, the logistics industry plays a critical role in promoting sustainability. While generative artificial intelligence (GAI) has the potential to revolutionize green logistics, several barriers still prevent its widespread adoption. In existing literature, little is known about applications, drivers, enablers, critical barriers, and challenges associated with implementing GAI along with green logistics.},
        keywords = {Eco-friendly Environment, Artificial Intelligence, Logistics management, Deep Learning, Green Economy, Intelligent transportation.},
        month = {February},
        }