AI and Machine Learning Applications in Supply Chains and Marketing

/ ISBN 13: 9798369367612

Edité par IGI Global, US, 2024

N° de réf. du vendeur LU-9798369367612

Synopsis :

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.

À propos des auteurs: Reason Masengu is a Senior Lecturer in the Department of Business Management at Middle East College, Muscat, Oman. He has more than seven years of experience in the Higher Education sector and specializes in marketing. He holds a PhD in Business Management, a Master of Commerce in Marketing Strategy, and a Bachelor of Technology with Honours in International Marketing.

Charles Tsikada is a Procurement and Supply Lecturer at Middle East College, Muscat, Oman. He is a Chartered Procurement and Supply Professional. He works as a Research Assistant at the University of Johannesburg, a Postgraduate Research Supervisor at the Management College of South Africa. He is also a CIPS Assessment Author, Marker and Study Centre Auditor.

Jabulani Garwi is a distinguished academic researcher, diplomat, and development practitioner with a focus on sustainable development and African development studies. Currently affiliated with the University of the Free State, South Africa, he possesses a diverse interdisciplinary background. Dr Garwi holds a Bachelor of Arts Honors degree in Economic History from the University of Zimbabwe, a Master of Arts degree in Development Studies from Midlands State University, and a Master of Science in Climate Change and Sustainable Development from Bindura University of Science Education. Furthermore, he has acquired postgraduate qualifications in Sustainable Development and Sustainable Project Management, Monitoring, and Evaluation. His academic journey culminated in the attainment of a Doctor of Philosophy degree in Sustainable Agriculture from the University of the Free State. Dr Garwi's research expertise spans a wide array of critical domains, including sustainable development, agri-tourism, rural development, livelihoods, poverty dynamics, agrarian systems, environmental management, project management, marketing, food security, and the intricate relationship between climate change and agriculture. He has contributed significantly to academia through his publications in peer-reviewed journals, book chapters, and books, which are indexed in reputable databases such as Scopus and other highly regarded platforms

Détails bibliographiques

Titre : AI and Machine Learning Applications in ...
Éditeur : IGI Global, US
Date d'édition : 2024
Reliure : Paperback
Etat : New