Artificial Intelligence in Marketing and Operations
- Authors: Gaddam Venkat Shobika1, Sourav Chakraborty2, Varadharaja Krishna3, Dibya Nandan Mishra4, Pranay Kumar5
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View Affiliations Hide AffiliationsAffiliations: 1 Woxsen School of Business, Woxsen University, Kamkole, Sadasivpet, Telangana, India 2 Woxsen School of Business, Woxsen University, Kamkole, Sadasivpet, Telangana, India 3 Woxsen School of Business, Woxsen University, Kamkole, Sadasivpet, Telangana, India 4 Woxsen School of Business, Woxsen University, Kamkole, Sadasivpet, Telangana, India 5 University of Maryland, Baltimore County, United States
- Source: Artificial Intelligence and Knowledge Processing: Methods and Applications , pp 56-71
- Publication Date: November 2023
- Language: English
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In the last 20 years, artificial intelligence (AI) and machine learning (ML) applications have advanced at an unmatched rate. The development of robotics and automation has been driven by AI technology, and this has substantial effects on practically every facet of the business, particularly supply chain operations. Smart technologies allowing real-time automatic data collection, analysis, and prediction have been widely incorporated into supply chains. We examine the current uses of AI in marketing and operations management (OM) and supply chain management in this study (SCM). Since these three industries combined account for the majority of business-related AI advancements as well as expanding problem domains, we focus specifically on innovations in healthcare, manufacturing, and retail operations. We go over the main obstacles and potential uses of AI in those sectors. We also talk about current research.
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