Optimizing Supply Chain Management And Marketing Strategies: AI And ML Integration For Competitive Advantage

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Jayanth Muthaluri
Dr T. B Sivakumar
Dr. Rahamtula
Kaushik Samanta
Sri Harsha Vardhan Sanne

Abstract

 This review paper explores the transformative impact of artificial intelligence (AI) and machine learning (ML) on supply chain management and marketing strategies, focusing on their potential to confer a competitive advantage. As global markets become increasingly complex and customer expectations rise, traditional supply chain and marketing practices often fall short in terms of efficiency and responsiveness. AI and ML, with their capabilities to process vast amounts of data and generate actionable insights, offer significant opportunities to optimize these critical business areas.


In supply chain management, AI and ML are utilized for demand forecasting, inventory optimization, and logistics planning. These technologies enhance accuracy in predicting market demand, reducing holding costs, and improving the coordination of transportation and delivery schedules. This results in a more resilient and agile supply chain, capable of adapting swiftly to disruptions and changes in market conditions.


In the realm of marketing, AI and ML facilitate personalized customer experiences through advanced data analytics, enabling businesses to tailor their strategies to individual consumer behaviors and preferences. These technologies also enhance decision-making processes by providing deeper insights into market trends and customer feedback, thus allowing for more targeted and effective marketing campaigns.


The integration of AI and ML not only improves operational efficiencies but also creates new opportunities for innovation and growth. By leveraging these advanced technologies, businesses can gain a significant edge over competitors who rely on traditional methods. This paper systematically reviews the current applications, benefits, and challenges of integrating AI and ML in supply chain management and marketing, providing a comprehensive overview of how these technologies can be harnessed to achieve a competitive advantage in today's dynamic business environment. The findings underscore the necessity for organizations to adopt AI and ML to remain competitive and meet evolving market demands.

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How to Cite
Jayanth Muthaluri, Dr T. B Sivakumar, Dr. Rahamtula, Kaushik Samanta, & Sri Harsha Vardhan Sanne. (2024). Optimizing Supply Chain Management And Marketing Strategies: AI And ML Integration For Competitive Advantage. Educational Administration: Theory and Practice, 30(5), 8990–8997. https://doi.org/10.53555/kuey.v30i5.4494
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Articles
Author Biographies

Jayanth Muthaluri

Undergraduate Student  SCOPE ( School of Computer Science Engineering ) Vellore Institute of Technology, Chennai Campus - Kelambakkam - Vandalur Rd, Rajan Nagar, Chennai, Tamil Nadu, Pin : 600127

Dr T. B Sivakumar

Associate Professor Department of CSE, School of Computing Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai - 600 062,Tamilnadu, India, Pin: 600 062

Dr. Rahamtula

Associate professor Electronics and communication engineering Audisankara college of engineering and technology College address: Guduru, Andhrapradesh, India, 524101

Kaushik Samanta

Lecturer, Faculty of Business Division of Business Lincoln University College, Jalan Lembah Sireh, Pin 15050 Kota Bharu, Malaysia, Pin: 15050

Sri Harsha Vardhan Sanne

Sr Systems Engineer Software engineer

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