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AI and machine learning applications in supply chains and marketing

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	AI and machine learning applications in supply chains and marketing/ Reason Masengu, Charles Tsikada, Jabulani Garwi, editors.
其他題名:	Artificial intelligence and machine learning applications in supply chains and marketing
其他作者:	Garwi, Jabulani,
出版者:	Hershey, Pennsylvania :IGI Global, : 2025.,
面頁冊數:	1 online resource (xxiv, 464 p.)
內容註:	Preface -- Chapter 1. An Examination of Text Mining Data Regarding Amazon Basics Consumer Durables Customers' Experience -- Chapter 2. Applications of Machine Learning (ML) and Artificial Intelligence (AI) in Marketing -- Chapter 3.Artificial intelligence (AI) and Machine Learning (ML): Enhancing Supply Chain Resilience and Efficiency -- Chapter 4. Cultivating Cyborgs: Cybernetically-Enhanced Farmers' Participation in Agricultural Marketing and Supply Chains -- Chapter 5. Driving Business Sustainability Through Effective Marketing Leveraging on Artificial Intelligence -- Chapter 6. Enhancing Supply Chain Resilience Through Artificial Intelligence and Machine Learning: A Systematic Literature Review andComprehensive Framework -- Chapter 7. How Can AI Help Change the Future of Marketing? -- Chapter 8. Integrating AI and Machine Learning Into Supply Chain and Marketing: A Strategic Approach -- Chapter 9. Intelligent Techniques for Emotion Recognition in Social Media and Business Applications -- Chapter 10. Leveraging Artificial Intelligence to Detect Counterfeit Luxury Products: A Systematic Review of Machine Learning, Natural Language Processing, and Image -- Chapter 11. Navigating Challenges and Leveraging Future Trends in AI and Machine Learning for Supply Chains -- Chapter 12. Revolutionizing Supply Chains With AI and Machine Learning: Opportunities and Challenges -- Chapter 13. Algorithmic Bias and Farmers'Autonomy in AI-Driven Agricultural Marketing and Supply Chains -- Chapter 14. The Impact of Machine Learning on the Commercial Management of a Financial Entity -- Chapter 15. Understanding AI and Machine Learning Concepts -- Compilation ofReferences -- About the Contributors -- Index.
標題:	Artificial intelligence. -
電子資源:	https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-6760-5
ISBN:	9798369367629

AI and machine learning applications in supply chains and marketing
AI and machine learning applications in supply chains and marketing[electronic resource] /Artificial intelligence and machine learning applications in supply chains and marketingReason Masengu, Charles Tsikada, Jabulani Garwi, editors. - Hershey, Pennsylvania :IGI Global,2025. - 1 online resource (xxiv, 464 p.) - Advances in marketing, customer relationship management, and e-services (AMCRMES) book series. - Advances in marketing, customer relationship management, and e-services (AMCRMES) book series..

Includes bibliographical references and index.

Preface -- Chapter 1. An Examination of Text Mining Data Regarding Amazon Basics Consumer Durables Customers' Experience -- Chapter 2. Applications of Machine Learning (ML) and Artificial Intelligence (AI) in Marketing -- Chapter 3.Artificial intelligence (AI) and Machine Learning (ML): Enhancing Supply Chain Resilience and Efficiency -- Chapter 4. Cultivating Cyborgs: Cybernetically-Enhanced Farmers' Participation in Agricultural Marketing and Supply Chains -- Chapter 5. Driving Business Sustainability Through Effective Marketing Leveraging on Artificial Intelligence -- Chapter 6. Enhancing Supply Chain Resilience Through Artificial Intelligence and Machine Learning: A Systematic Literature Review andComprehensive Framework -- Chapter 7. How Can AI Help Change the Future of Marketing? -- Chapter 8. Integrating AI and Machine Learning Into Supply Chain and Marketing: A Strategic Approach -- Chapter 9. Intelligent Techniques for Emotion Recognition in Social Media and Business Applications -- Chapter 10. Leveraging Artificial Intelligence to Detect Counterfeit Luxury Products: A Systematic Review of Machine Learning, Natural Language Processing, and Image -- Chapter 11. Navigating Challenges and Leveraging Future Trends in AI and Machine Learning for Supply Chains -- Chapter 12. Revolutionizing Supply Chains With AI and Machine Learning: Opportunities and Challenges -- Chapter 13. Algorithmic Bias and Farmers'Autonomy in AI-Driven Agricultural Marketing and Supply Chains -- Chapter 14. The Impact of Machine Learning on the Commercial Management of a Financial Entity -- Chapter 15. Understanding AI and Machine Learning Concepts -- Compilation ofReferences -- About the Contributors -- Index.

"While artificial intelligence (AI) simulates human intelligence in machines, machine learning (ML) enables systems to learn from data without explicit programming. In marketing and supply chain management, AI and ML empower businesses to analyze consumer behavior, personalize experiences, optimize advertising strategies, forecast consumer demands, manage inventory, plan routes, and mitigate risks. Businesses can enhance efficiency, accuracy, decision-making, customerengagement, and cost-effectiveness when integrating AI and ML in marketing and supply chain operations. Further research is necessary to drive success in the dynamic marketplace. AI and Machine Learning Applications in Supply Chains and Marketing bridges the gap between theoretical knowledge and practical application of AI and ML in marketing and supply chain management. It examines emerging technologies that can revolutionize industries by transforming business operations. This book covers topics such as data analysis, sustainable development, and blockchain, and is a useful resource for business owners, economists, marketing professionals, engineers, computer scientists, academicians, and researchers."--

Mode of access: World Wide Web.

ISBN: 9798369367629Subjects--Topical Terms:

516317
Artificial intelligence.
Subjects--Index Terms:

Agricultural Science.Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: HD38.5 / .A33 2025eb

Dewey Class. No.: 658.7

AI and machine learning applications in supply chains and marketing
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505 0 $a Preface -- Chapter 1. An Examination of Text Mining Data Regarding Amazon Basics Consumer Durables Customers' Experience -- Chapter 2. Applications of Machine Learning (ML) and Artificial Intelligence (AI) in Marketing -- Chapter 3.Artificial intelligence (AI) and Machine Learning (ML): Enhancing Supply Chain Resilience and Efficiency -- Chapter 4. Cultivating Cyborgs: Cybernetically-Enhanced Farmers' Participation in Agricultural Marketing and Supply Chains -- Chapter 5. Driving Business Sustainability Through Effective Marketing Leveraging on Artificial Intelligence -- Chapter 6. Enhancing Supply Chain Resilience Through Artificial Intelligence and Machine Learning: A Systematic Literature Review andComprehensive Framework -- Chapter 7. How Can AI Help Change the Future of Marketing? -- Chapter 8. Integrating AI and Machine Learning Into Supply Chain and Marketing: A Strategic Approach -- Chapter 9. Intelligent Techniques for Emotion Recognition in Social Media and Business Applications -- Chapter 10. Leveraging Artificial Intelligence to Detect Counterfeit Luxury Products: A Systematic Review of Machine Learning, Natural Language Processing, and Image -- Chapter 11. Navigating Challenges and Leveraging Future Trends in AI and Machine Learning for Supply Chains -- Chapter 12. Revolutionizing Supply Chains With AI and Machine Learning: Opportunities and Challenges -- Chapter 13. Algorithmic Bias and Farmers'Autonomy in AI-Driven Agricultural Marketing and Supply Chains -- Chapter 14. The Impact of Machine Learning on the Commercial Management of a Financial Entity -- Chapter 15. Understanding AI and Machine Learning Concepts -- Compilation ofReferences -- About the Contributors -- Index.
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650 0 $a Business logistics $x Data processing. $3 731545
650 0 $a Marketing $x Technological innovations. $3 607822
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653 $a Agricultural Science.
653 $a Artificial Intelligence.
653 $a Blockchain.
653 $a Data Analysis.
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653 $a Marketing and Consumer Science.
653 $a Natural Language Processing.
653 $a Social Media.
653 $a Supply Chains.
653 $a Sustainable Development.
653 $a Text Mining.
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700 1 $a Tsikada, Charles. $3 3793269
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