TITLE OF THE BUSINESS PROJECT “OPTIMIZING RETAIL OPERATIONS THROUGH AI: A COMPARATIVE STUDY OF WALMART’S USE OF AI IN INVENTORY MANAGEMENT AND RECOMMENDATIONS FOR KORZINKA IN UZBEKISTAN"
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Keywords: Artificial Intelligence, Retail, Supply Chain Optimization, Emerging Markets##article.abstract##
Abstract
This dissertation is aimed at exploring the role of artificial intelligence in the
current and upcoming retail processes focusing on cross continental comparative
studies of Wal-Mart USA, and Korzinka supermarket chain in Uzbekistan specifically.
Wal-Mart, a retailing giant has adopted AI use across its operations, especially in stock
control, supply chain management as well as in customer engagements. The primary
purpose of this research is to identify how the dominant supermarket chain in
Uzbekistan, Korzinka, can adapt Walmart’s AI practices to improve its functional
performance in an emerging market. In its response, the investigation employs
secondary and primary research, wielding Walmart public information and reports and
case, besides interrogating top and all employees of Korzinka through interviews and
surveys. Based on the general literature concerning the impact of AI on inventory,
supply chain, and customer satisfaction, this dissertation adds further perspectives to
understanding its various operational, technological, and consumer-related issues more
specific to Uzbekistan. Finally, it brings specific recommendations on AI adoption at
Korzinka and the outlook for further evolving strategies for sustainable use of IT
solutions in the retail industry in Uzbekistan. The enhanced operational vulnerability
and customer relations highlight the value of AI to communicate the need of
technological readiness and consumer adaptability to establish robust AI solutions.
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Reference list
1. Bain & Co. (2022). AI and Inventory Management in Emerging Markets.
Available at: [https://www.bain.com/reports](https://www.bain.com/reports)
[Accessed 6 Nov. 2024].
2. Chang, T., Liu, H., & Yang, J. (2022). The role of artificial intelligence in
enhancing retail supply chain efficiency: A case study of Walmart. Journal of
Retail and Consumer Services, 65, 102571.
https://doi.org/10.1016/j.jretconser.2021.102571
3. Chen, L., Zhao, Y., & Wang, J. (2022). Artificial Intelligence in Supply Chain
Management: A Comparative Analysis of Retail Giants. Journal of Retail
Management, 15(3), 245-260.
4. Choi, T. M., Cheng, T. C. E., & Zhao, X. (2022). Artificial intelligence in retail
supply chain management: A review. Journal of Supply Chain Management,
58(3), 23-45.
5. Deloitte (2022). AI in Inventory Management Study. Available at:
[https://www.deloitte.com](https://www.deloitte.com) [Accessed 6 Nov. 2024].
6. Deloitte (2023). Walmart’s AI-Driven Customer Experience. Available at:
[https://www.deloitte.com](https://www.deloitte.com) [Accessed 6 Nov. 2024].
7. Freeman, R., & Tan, L. (2023). Social Impact of AI Adoption. Available at:
[https://www.freemanandtan.com](https://www.freemanandtan.com) [Accessed
6 Nov. 2024].
8. Gartner (2023). Retail Supply Chain Trends: The Role of Artificial Intelligence
in Enhancing Visibility. Gartner Research. Available at:
[https://www.gartner.com](https://www.gartner.com) [Accessed 6 Nov. 2024].
9. Hassan, S., & Ibrahim, T. (2022). AI adoption in emerging market retail chains:
Insights from Shoprite’s experience in South Africa. African Journal of Business
Management, 16(5), 218–228. https://doi.org/10.5897/AJBM2021.9370
10. IDC (2023). Data privacy and AI policies in Central Asia: Opportunities and
challenges for Uzbekistan’s digital economy. IDC Research Report. Available
at:
[https://www.idc.com/research/centralasia](https://www.idc.com/research/centr
alasia) [Accessed 6 Nov. 2024].
11. International Finance Corporation (IFC) (2023). Digital transformation in
Central Asia: AI applications in Uzbekistan’s retail and banking sectors. IFC
Industry Report. Available at: [https://www.ifc.org/reports/2023/central-
asia](https://www.ifc.org/reports/2023/central-asia) [Accessed 6 Nov. 2024].
12. Ismailova, N., Karimov, K., & Yuldashev, A. (2023). Barriers to AI Adoption
in Central Asia. Available at:
[https://www.centralasiajournal.com](https://www.centralasiajournal.com)
[Accessed 6 Nov. 2024].
13. Ismailova, N., Karimov, K., & Yuldashev, A. (2023). AI Infrastructure and
Labor in Uzbekistan. Available at:
[https://www.centralasiajournal.com](https://www.centralasiajournal.com)
[Accessed 6 Nov. 2024].
14. Ivanov, D., Dolgui, A., & Sokolov, B. (2022). AI in Supply Chain Optimization.
Journal of Supply Chain Management, 17(1), 11-28.
15. Krejcie, R. V., & Morgan, D. W. (1970). Determining Sample Size for Research
Activities. Educational and Psychological Measurement, 30(3), 607-610.
16. Kumar, A., Singh, A., & Gupta, R. (2023). The role of AI in enhancing customer
experience: A retail perspective. Journal of Retailing and Consumer Services,
75, 102-112.
17. Liao, Z., Tang, Y., & Liu, X. (2023). The Role of AI in Enhancing Customer
Experience. Available at: [https://www.retail-
experience.com](https://www.retail-experience.com) [Accessed 6 Nov. 2024].
18. Liao, Z., Tang, Y., & Liu, X. (2023). Personalized Customer Experience in
Retail. Available at: [https://www.retail-experience.com](https://www.retail-
experience.com) [Accessed 6 Nov. 2024].
19. McKinsey (2023). AI Adoption in Retail Report 2023. Available at:
[https://www.mckinsey.com](https://www.mckinsey.com) [Accessed 6 Nov.
2024].
20. Mishra, P., & Mukherjee, R. (2023). Adoption of AI-based solutions for
inventory management in emerging markets: A BigBasket case study.
International Journal of Business Analytics, 10(1), 45-58.
https://doi.org/10.4018/IJBAN.2023010103
21. Rana, N. P. (2023). Human capital challenges in AI adoption across emerging
markets: A Central Asian perspective. Journal of Information Technology
Education: Research, 22(1), 119-134. https://doi.org/10.28945/5037
22. Walmart (2023). Annual Report: Innovations in Supply Chain Efficiency.
Walmart Inc. Available at: [https://www.walmart.com/annual-
report](https://www.walmart.com/annual-report) [Accessed 6 Nov. 2024].
