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The Use of Artificial Intelligence in Supply Chain Management and Logistics
Abstract
There are multiple changes with supply chain management and logistics industry post covid. Keeping the right level of inventory can be challenging, as it involves balancing the cost of carrying inventory against the risk of stockouts. Forecasting demand accurately and managing inventory across multiple locations are also key challenges. Factors such as transportation mode, route optimization, and carrier selection can all impact the efficiency and cost of transportation. As consumers become more environmentally conscious, sustainability is becoming an increasingly important issue in the supply chain. Companies need to consider the environmental impact of their operations and products and find ways to reduce waste and carbon emissions. The use of technology is becoming more widespread in the supply chain, with tools such as automation, artificial intelligence, and the internet of things (IoT) becoming increasingly popular. Overall, the use of AI in supply chain management and logistics can help organizations make more informed decisions, reduce costs, and improve customer satisfaction.
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