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Artificial intelligence (AI) with mathematical modelling is one of the most metaphoric technologies in modern history. It helps businesses around the world, improving efficiency and optimizing resources especially in supply chain management (SCM) and logistics sector. AI has also made its way into supply chains and logistics, where it provides several advantages to businesses that are prepared to accept new technology. The review refers to the previous research papers with keywords of AI, supply chain, logistics are sorted from five recent years and aims to comprehensively review types of technologies used by optimizing the strategies and the implementation of AI methods highlight several challenges faced by AI to be deployed in this sector. The soft computing extracted in this paper mainly uses AI and fuzzy logic for problem giving and enhances the efficiency of SCM. However, there are challenges that are encountered by AI to predict and drive the decision making with minimum complications. Several challenges addressed in this paper are resources, lack of security especially in RFID systems and the complexity found in robotics systems in logistics. In conclusion, based on the literature review, the research framework, new research based on the research gap is able to be obtained for further research focus. [ABSTRACT FROM AUTHOR]

Artificial Intelligence and Machine Learning are emerging technologies that are now used by different businesses to enhance the customer experience. The use of these technologies has provided many opportunities to organizations to boost their market performance. The research paper aims to understand the impacts and applications of Artificial Intelligence and Machine Learning in the E-commerce sector and how one can leverage e-commerce business performance using these technologies. A qualitative analysis approach was taken. Literature review was used to analyze the academic documents written and published in peer-reviewed scientific journals. The study will help E-commerce players to understand consumer behavior and patterns and personalize the shopping experience. And how predictive analytics can be combined with these technologies to increase their performance in terms of Sales and Revenue Growth, Customer Experience, Customer Acquisition and Retention. [ABSTRACT FROM AUTHOR]