ANALYZING THE ADOPTION AND INFLUENCE OF AI IN RETAIL SUPPLY CHAIN OPERATIONS
Keywords:
AI Adoption, Retail Supply Chains, Operations Optimization, Predictive Analytics, Data Integration, Inventory Management, Demand Forecasting, Ethical Considerations, Algorithmic Bias, Automation, Supply Chain Resilience, Customer ExperienceAbstract
The integration of Artificial Intelligence (AI) in retail supply chain operations has emerged as a transformative force, promising to revolutionize how retailers manage their operations, interact with customers, and compete in the marketplace. This paper provides a comprehensive analysis of the adoption and influence of AI in retail supply chains, examining its impact on operations, current trends, challenges and opportunities, and future directions. Through case studies and industry insights, we explore how retailers are leveraging AI technologies to enhance efficiency, optimize processes, and deliver personalized experiences that meet the evolving needs of consumers. While AI offers significant opportunities for innovation and growth, it also presents challenges such as data integration, talent gaps, ethical considerations, and cost considerations. Looking ahead, the future of AI in retail supply chains holds tremendous promise for further innovation and disruption, with advancements in hyper-personalization, predictive analytics, autonomous supply chains, and augmented decision-making reshaping the retail landscape. By embracing AI technologies strategically and responsibly, retailers can unlock new opportunities for growth, differentiation, and success in an increasingly digital and dynamic marketplace.
References
Oosthuizen, K., Botha, E., Robertson, J., & Montecchi, M. (2021). Artificial intelligence in retail: The AI-enabled value chain. Australasian Marketing Journal, 29(3), 264-273. https://doi.org/10.1016/j.ausmj.2020.07.007
Jabbour, C. J. C., Fiorini, P., D., Ndubisi, N., O., Queiroz, M., M., & Piato E. L. (2020). Digitally Enabled Sustainable Supply Chains in the 21st Century: A Review and a Research Agenda. Science of the Total Environment, 725, https://doi.org/10.1016/j.scitotenv.2020.138177
Mohsen, B. (2022). Role of Big Data in Supply Chain Management. International Journal of Management (IJM), 13, 24-40.
Pournader, M., Ghaderi, H., Hassanzadegan, A., & Fahimnia, B. (2021). Artificial Intelligence Applications in Supply Chain Management. International Journal of Production Economics, 241, https://doi.org/10.1016/j.ijpe.2021.108250
Wang, X., Kumar, V., Kumari, A., & Kuzmin, E. (2022). Impact of Digital Technology on Supply Chain Efficiency in Manufacturing Industry. In V. Kumar, J. Leng, V. Akberdina, & E. Kuzmin (Eds.), Digital Transformation in Industry. Lecture Notes in Information Systems and Organisation (Vol. 54, pp. 347-371)
Vijay Datla, Redefining On-premis IT to Cloud: Lift-and-Shift Strategies, International Journal of Information Technology and Management Information Systems (IJITMIS), 13(1), 2022, pp. 60-68.
Boute, Robert N. and Udenio, Maximiliano, AI in Logistics and Supply Chain Management (June 8, 2021). http://dx.doi.org/10.2139/ssrn.3862541
Vidyasagar Kotha, Counterfeiting in aviation supply chain, its consequences, and block chain as a potential solution: An awareness and hazard-based analysis, International Journal of Advanced Research in Engineering and Technology (IJARET), 2022, 13(12), pp. 26-41
Jai Deep Pandey and Geetanjali Sharma, A Supply Chain Inventory Model with Some Realistic Situations, International Journal of Advanced Research in Engineering and Technology (IJARET), 13(8), 2022, pp. 6-17 doi: https://doi.org/10.17605/OSF.IO/B2MXH
Baha M. Mohsen, Role of Big Data in Supply Chain Management, International Journal of Management (IJM), 13(5), 2022, pp. 24-40 doi: https://doi.org/10.17605/OSF.IO/NK5CD
N. C. Sattaru, D. Umrao, K. K. Ramachandran, K. K. Karthick, M. Tiwari and S. K. M V, "Machine Learning as a Predictive Technology And Its Impact on Digital Pricing and Cryptocurrency Markets," 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 2022, pp. 1077-1080, doi: 10.1109/ICACITE53722.2022.9823734.
A. Jain, K. K. Ramachandran, S. Sharma, T. Sharma, P. Pareek and B. Pant, "Detailed Investigation of Influence of Machine learning (ML) and Big Data on Digital Transformation in Marketing," 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 2022, pp. 1061-1065, doi: 10.1109/ICACITE53722.2022.9823810.
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Copyright (c) 2023 Ananth Raja Muthukalyani (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
