AI and machine learning applications in supply chains and marketing:
"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, opti...
Saved in:
| Other Authors: | , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA)
IGI Global
2025.
|
| Series: | Advances in marketing, customer relationship management, and e-services (AMCRMES) book series.
|
| Subjects: | |
| Online Access: | DE-862 DE-863 |
| Summary: | "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, customer engagement, 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."-- |
| Physical Description: | 21 PDFs (488 Seiten) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9798369367629 |
| Access: | Restricted to subscribers or individual electronic text purchasers. |
Staff View
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| 245 | 0 | 0 | |a AI and machine learning applications in supply chains and marketing |c Reason Masengu, Charles Tsikada, Jabulani Garwi, editors. |
| 246 | 3 | |a Artificial intelligence and machine learning applications in supply chains and marketing | |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) |b IGI Global |c 2025. | |
| 300 | |a 21 PDFs (488 Seiten) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 490 | 1 | |a Advances in marketing, customer relationship management, and e-services (AMCRMES) book series | |
| 504 | |a Includes bibliographical references and index. | ||
| 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 and Comprehensive 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 of References -- About the Contributors -- Index. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "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, customer engagement, 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."-- |c Provided by publisher. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 10/18/2024). | ||
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Business logistics |x Data processing. | |
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Marketing |x Technological innovations. | |
| 653 | |a Agricultural Science. | ||
| 653 | |a Artificial Intelligence. | ||
| 653 | |a Blockchain. | ||
| 653 | |a Data Analysis. | ||
| 653 | |a Machine Learning. | ||
| 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. | ||
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Garwi, Jabulani |d 1984- |e editor. | |
| 700 | 1 | |a Masengu, Reason |d 1982- |e editor. | |
| 700 | 1 | |a Tsikada, Charles |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | 8 | |i Print version: |z 9798369367605 |
| 830 | 0 | |a Advances in marketing, customer relationship management, and e-services (AMCRMES) book series. | |
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| 912 | |a ZDB-98-IGB | ||
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| 049 | |a DE-863 | ||
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| author2 | Garwi, Jabulani 1984- Masengu, Reason 1982- Tsikada, Charles |
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| author_facet | Garwi, Jabulani 1984- Masengu, Reason 1982- Tsikada, Charles |
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| contents | 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 and Comprehensive 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 of References -- About the Contributors -- Index. |
| ctrlnum | (CaBNVSL)slc00006929 (OCoLC)1463449176 |
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| dewey-ones | 658 - General management |
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| dewey-search | 658.7 |
| dewey-sort | 3658.7 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| format | Electronic eBook |
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| genre | Electronic books. |
| genre_facet | Electronic books. |
| id | ZDB-98-IGB-00345357 |
| illustrated | Not Illustrated |
| indexdate | 2025-03-18T14:30:38Z |
| institution | BVB |
| isbn | 9798369367629 |
| language | English |
| oclc_num | 1463449176 |
| open_access_boolean | |
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| owner_facet | DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
| physical | 21 PDFs (488 Seiten) Also available in print. |
| psigel | ZDB-98-IGB FWS_PDA_IGB ZDB-98-IGB |
| publishDate | 2025 |
| publishDateSearch | 2025 |
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| publisher | IGI Global |
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| series | Advances in marketing, customer relationship management, and e-services (AMCRMES) book series. |
| series2 | Advances in marketing, customer relationship management, and e-services (AMCRMES) book series |
| spelling | AI and machine learning applications in supply chains and marketing Reason Masengu, Charles Tsikada, Jabulani Garwi, editors. Artificial intelligence and machine learning applications in supply chains and marketing Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) IGI Global 2025. 21 PDFs (488 Seiten) text rdacontent electronic isbdmedia online resource rdacarrier 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 and Comprehensive 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 of References -- About the Contributors -- Index. Restricted to subscribers or individual electronic text purchasers. "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, customer engagement, 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."-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 10/18/2024). Artificial intelligence. Business logistics Data processing. Machine learning. Marketing Technological innovations. Agricultural Science. Artificial Intelligence. Blockchain. Data Analysis. Machine Learning. Marketing and Consumer Science. Natural Language Processing. Social Media. Supply Chains. Sustainable Development. Text Mining. Electronic books. Garwi, Jabulani 1984- editor. Masengu, Reason 1982- editor. Tsikada, Charles editor. IGI Global, publisher. Print version: 9798369367605 Advances in marketing, customer relationship management, and e-services (AMCRMES) book series. |
| spellingShingle | AI and machine learning applications in supply chains and marketing Advances in marketing, customer relationship management, and e-services (AMCRMES) book series. 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 and Comprehensive 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 of References -- About the Contributors -- Index. Artificial intelligence. Business logistics Data processing. Machine learning. Marketing Technological innovations. |
| title | AI and machine learning applications in supply chains and marketing |
| title_alt | Artificial intelligence and machine learning applications in supply chains and marketing |
| title_auth | AI and machine learning applications in supply chains and marketing |
| title_exact_search | AI and machine learning applications in supply chains and marketing |
| title_full | AI and machine learning applications in supply chains and marketing Reason Masengu, Charles Tsikada, Jabulani Garwi, editors. |
| title_fullStr | AI and machine learning applications in supply chains and marketing Reason Masengu, Charles Tsikada, Jabulani Garwi, editors. |
| title_full_unstemmed | AI and machine learning applications in supply chains and marketing Reason Masengu, Charles Tsikada, Jabulani Garwi, editors. |
| title_short | AI and machine learning applications in supply chains and marketing |
| title_sort | ai and machine learning applications in supply chains and marketing |
| topic | Artificial intelligence. Business logistics Data processing. Machine learning. Marketing Technological innovations. |
| topic_facet | Artificial intelligence. Business logistics Data processing. Machine learning. Marketing Technological innovations. Electronic books. |
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