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Artificial Intelligence Applications in the Context of the Security Framework for the Logistics Industry
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Author(s): Imdad Ali Shah (Taylor's University, Malaysia), N. Z. Jhanjhi (Taylor's University, Malaysia)and Sayan Kumar Ray (Taylor's University, Malaysia)
Copyright: 2024
Pages: 20
Source title:
Advances in Explainable AI Applications for Smart Cities
Source Author(s)/Editor(s): Mangesh M. Ghonge (Sandip Institute of Technology and Research Centre, India), Nijalingappa Pradeep (Bapuji Institute of Engineering and Technology, India), Noor Zaman Jhanjhi (School of Computer Science, Faculty of Innovation and Technology, Taylor’s University, Malaysia)and Praveen M. Kulkarni (Karnatak Law Society's Institute of Management Education and Research (KLS IMER), Belagavi, India)
DOI: 10.4018/978-1-6684-6361-1.ch011
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Abstract
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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