效率低下
供应链
人气
背景(考古学)
计算机科学
交付性能
快速消费品
风险分析(工程)
业务
过程管理
营销
心理学
社会心理学
古生物学
经济
生物
微观经济学
作者
Imdad Ali Shah,N. Z. Jhanjhi,Sayan Kumar Ray
出处
期刊:Advances in computational intelligence and robotics book series
日期:2024-01-18
卷期号:: 297-316
被引量:11
标识
DOI:10.4018/978-1-6684-6361-1.ch011
摘要
Artificial intelligence (AI) has a wide range of applications in logistics and supply chain management. With the help of AI, businesses can improve their planning activities, optimize their routes, manage resources more efficiently, and enhance their delivery effectiveness. AI-powered autonomous delivery systems are also gaining popularity as they enable faster and more reliable delivery of goods without the need for human intervention. By leveraging AI, businesses can analyze large amounts of data and gain insights into customer behaviour, demand patterns, and other critical factors that impact their logistics operations. This information can be used to create more accurate demand forecasts, optimize inventory levels, and improve the overall efficiency of the supply chain. Moreover, AI can also help businesses reduce costs by identifying areas of waste and inefficiency in their logistics operations. For instance, AI-powered algorithms can optimize delivery routes to reduce fuel consumption and transportation costs.
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