As Artificial Intelligence (AI) is gaining importance in dealing with every process in the supply chain, whether it is to manage information, product manufacturing, finances, transportation, or inventories. Moreover, it is present in various fields like education, hospitality, logistics, agriculture, marketing, etc. This paper attempts to delve into finding the impact of various tools of AI, viz., Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Robotics, and Fuzzy Logic (FL), in leading towards a Sustainable supply chain (SSC). Integrating ML along the supply chain (SC) helps overcome the inefficiencies in the supply chain. ML can use mathematical models to correctly forecast the demand, collecting data related to different networks in the supply chain, their locations, financial aspects, sales, and other aspects, enabling reduction of wastage and thus leading to SSC. Moreover, large companies that have widespread supply chain networks could also use DL algorithms to easily manage these networks, thus enabling inventory planning and demand forecasting. Furthermore, the use of autonomous robots helps to handle inventories economically and efficiently. Improvements in the sense of touch in robots enable them to pick up fragile to heavy items without damage and with efficiency. Besides, NLP helps in the translation of foreign shipment details, interpreting customer queries, and responding to voice commands for managing inventories to make the supply chain more efficient and sustainable. Fuzzy logic helps in decision-making where there exist situations of uncertainties, imprecision, and vagueness, going beyond the crisp logic of answering anything in true or false. Addressing the need for a holistic model demonstrating the specific AI tool to be used for optimizing a specific supply chain activity, this paper tries to explore and develop a model for the use of different AI tools for creating supply chain sustainability by optimizing its different functions through the review of literature.