Logistics industry is an inevitable industry required for all sorts of businesses operating around the world. As a future vision, almost all the industries are preferring greener practices in its operations to hold hands towards sustainability initiatives. The study tries to find the connection of artificial intelligence (AI) technologies in green logistics. The purpose of the study is to identify the opportunities and challenges associated with AI adoption in green logistics and know their influence in AI adoption. By focusing on a logistic company in its nascent stage, the study tries to identify the opportunities and challenges that could influence the rate of AI adoption. With the aid of empirical data collected from industry experts and analysing , the research find some key opportunities such as improved efficiency, predictive maintenance, route optimization, waste reduction, demand forecasting, and enhanced customer experience and challenges such as high initial costs, data privacy and security concerns, integration issues with existing systems, complexity of AI technologies, resistance to change among management & employees, and scalability issues. By evaluating these opportunities and challenges, the research tries to provide insights regarding AI adoption in green logistics. The findings suggest that AI has the potential to transform green logistics, and also thinks the rate of adoption could be influenced by the opportunities and the challenges addressed. The study is concluded by providing some recommendations for overcoming these barriers and suggests directions for future research.