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Artificial Intelligence Applications in the Context of the Security Framework for the Logistics Industry

Imdad Ali Shah, N. Z. Jhanjhi, Sayan Kumar Ray

2024Advances in computational intelligence and robotics book series17 citationsDOI

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.

Topics & Concepts

InefficiencySupply chainPopularityContext (archaeology)Computer scienceFast-moving consumer goodsDelivery PerformanceRisk analysis (engineering)BusinessProcess managementMarketingSocial psychologyPaleontologyPsychologyMicroeconomicsEconomicsBiologyBlockchain Technology Applications and SecurityDigital Transformation in IndustrySupply Chain Resilience and Risk Management
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