Modern AI in Green Logistics: Smart Systems for Sustainability and Carbon Reduction

Abstract

Green AI has emerged as a new powerful tool of logistics in this present modern world which has helped optimize supply chain operations and at the same time the emission of greenhouse gases had also been reduced. Mores, artificial intelligence systems such as integrated intelligent predictive analytics, the IoT Approach, application of optimal routes, and automated warehouses are making a positive contribution to sustainability through the efficiency reduction of fuel consumption, optimal inventory, and management of transportation networks. This paper review is based on the topic of AI and the way it is being employed in green logistics, particularly in the reduction of environmental footprint, optimization of resources and setting up of environmentally friendly last one kilometer conveying solutions. In this regard, it also provides faces of the most successful companies that have been adopting sustainable AI-facilitated initiatives. There are certain challenges that organization face while adopting AI in logistics some of which are the high cost of the implementation, data security, skills of the workers, and compatibility with legacy systems. With a focus on corporate social responsibility as well as the effective management of resources at the government level for sustainable supply chain, Artificial Intelligence technology will have a big part to play in the development of new and efficient transport system.