{"title":"智能 \"供应链的崛起:人工智能和自动化如何彻底改变物流业","authors":"Temitayo Oluwadamilola Adesoga, Tolulope Olusola Ajibaye, Kenneth Chukwujekwu Nwafor, Ummulikhaeri Temitope Imam-Lawal, Emmanuel Ayobamidele Ikekwere, Daniel Ikechukwu Ekwunife","doi":"10.30574/ijsra.2024.12.2.1304","DOIUrl":null,"url":null,"abstract":"The logistics industry is experiencing transformational change driven by the rise of \"smart\" supply chains enabled by artificial intelligence (AI) and automation. This study examines the transformational impact of this technology, exploring how it increases productivity, reduces costs, and empowers better decision-making and inventory management throughout the supply chain. Focusing on transportation, warehousing, and demand forecasting, the paper provides a comprehensive view of the benefits and challenges associated with implementing AI and automation in logistics. Real-world examples and case studies illustrate the practical applications of these technologies and their potential to reshape the future of supply chain management. AI algorithms are reshaping inventory management by leveraging big data for precise future predictions, helping companies streamline operations through automated replenishment and reduced stock levels. In transportation, AI optimizes routes considering traffic, weather, and delivery times, leading to fuel savings, faster deliveries, and lower costs. Warehousing benefits from AI with enhanced scheduling, automated processing, and robotic conveyors improving efficiency and accuracy. Furthermore, AI-driven demand forecasting integrates sales data, consumer trends, and social media insights to forecast demand accurately, enhancing production planning and customer service. The adoption of \"smart\" supply chains faces several hurdles. Concerns over data privacy due to reliance on big data necessitate stringent data management practices and compliance with privacy laws. Technical barriers and high initial costs for AI implementation are particularly daunting for smaller businesses. Potential solutions, like partnering with AI providers or focusing on long-term benefits, offer strategies to overcome these challenges. Despite these obstacles, AI and automation hold immense potential to revolutionize logistics, offering companies competitive advantages, cost optimization, and superior customer service. As these technologies advance, the future of efficient and agile delivery looks promising.","PeriodicalId":14366,"journal":{"name":"International Journal of Science and Research Archive","volume":"10 29","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The rise of the \\\"smart\\\" supply chain: How AI and automation are revolutionizing logistics\",\"authors\":\"Temitayo Oluwadamilola Adesoga, Tolulope Olusola Ajibaye, Kenneth Chukwujekwu Nwafor, Ummulikhaeri Temitope Imam-Lawal, Emmanuel Ayobamidele Ikekwere, Daniel Ikechukwu Ekwunife\",\"doi\":\"10.30574/ijsra.2024.12.2.1304\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The logistics industry is experiencing transformational change driven by the rise of \\\"smart\\\" supply chains enabled by artificial intelligence (AI) and automation. This study examines the transformational impact of this technology, exploring how it increases productivity, reduces costs, and empowers better decision-making and inventory management throughout the supply chain. Focusing on transportation, warehousing, and demand forecasting, the paper provides a comprehensive view of the benefits and challenges associated with implementing AI and automation in logistics. Real-world examples and case studies illustrate the practical applications of these technologies and their potential to reshape the future of supply chain management. AI algorithms are reshaping inventory management by leveraging big data for precise future predictions, helping companies streamline operations through automated replenishment and reduced stock levels. In transportation, AI optimizes routes considering traffic, weather, and delivery times, leading to fuel savings, faster deliveries, and lower costs. Warehousing benefits from AI with enhanced scheduling, automated processing, and robotic conveyors improving efficiency and accuracy. Furthermore, AI-driven demand forecasting integrates sales data, consumer trends, and social media insights to forecast demand accurately, enhancing production planning and customer service. The adoption of \\\"smart\\\" supply chains faces several hurdles. Concerns over data privacy due to reliance on big data necessitate stringent data management practices and compliance with privacy laws. Technical barriers and high initial costs for AI implementation are particularly daunting for smaller businesses. Potential solutions, like partnering with AI providers or focusing on long-term benefits, offer strategies to overcome these challenges. Despite these obstacles, AI and automation hold immense potential to revolutionize logistics, offering companies competitive advantages, cost optimization, and superior customer service. 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The rise of the "smart" supply chain: How AI and automation are revolutionizing logistics
The logistics industry is experiencing transformational change driven by the rise of "smart" supply chains enabled by artificial intelligence (AI) and automation. This study examines the transformational impact of this technology, exploring how it increases productivity, reduces costs, and empowers better decision-making and inventory management throughout the supply chain. Focusing on transportation, warehousing, and demand forecasting, the paper provides a comprehensive view of the benefits and challenges associated with implementing AI and automation in logistics. Real-world examples and case studies illustrate the practical applications of these technologies and their potential to reshape the future of supply chain management. AI algorithms are reshaping inventory management by leveraging big data for precise future predictions, helping companies streamline operations through automated replenishment and reduced stock levels. In transportation, AI optimizes routes considering traffic, weather, and delivery times, leading to fuel savings, faster deliveries, and lower costs. Warehousing benefits from AI with enhanced scheduling, automated processing, and robotic conveyors improving efficiency and accuracy. Furthermore, AI-driven demand forecasting integrates sales data, consumer trends, and social media insights to forecast demand accurately, enhancing production planning and customer service. The adoption of "smart" supply chains faces several hurdles. Concerns over data privacy due to reliance on big data necessitate stringent data management practices and compliance with privacy laws. Technical barriers and high initial costs for AI implementation are particularly daunting for smaller businesses. Potential solutions, like partnering with AI providers or focusing on long-term benefits, offer strategies to overcome these challenges. Despite these obstacles, AI and automation hold immense potential to revolutionize logistics, offering companies competitive advantages, cost optimization, and superior customer service. As these technologies advance, the future of efficient and agile delivery looks promising.