Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
This study examines the role of artificial intelligence (AI) in optimizing inventory and customer management in small retail stores. By leveraging secondary data, the research explores AI-driven solutions that improve inventory tracking, demand forecasting, and personalized customer engagement. The study highlights the challenges faced by small retailers in maintaining accurate inventory levels and delivering tailored customer experiences. AI tools and techniques, such as predictive analytics and machine learning, are analyzed to determine their effectiveness in addressing these challenges. The findings suggest that integrating AI into small retail operations can enhance efficiency, reduce costs, and foster customer loyalty, ultimately driving business growth.
Keywords:
Artificial Intelligence, Inventory Management, Customer Management, Small Retail Stores, Predictive Analytics, Secondary Data Analysis.
Cite Article:
"Leveraging Ai To Analyze Inventory And Customer Managment In Small Retail Stores", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.c1-c9, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504224.pdf
Downloads:
000549
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator