Raketla, Raghavendra Gandhi (2025) Real-time analytics revolutionizing retail order management. International Journal of Science and Research Archive, 14 (1). pp. 1649-1658. ISSN 25828185
![IJSRA-2025-0292.pdf [thumbnail of IJSRA-2025-0292.pdf]](https://eprint.scholarsrepository.com/style/images/fileicons/text.png)
IJSRA-2025-0292.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial Share Alike.
Download (537kB)
Abstract
This comprehensive article examines the transformative impact of real-time data analytics on retail order management systems. The article explores how modern retail organizations leverage advanced analytics capabilities to enhance operational efficiency, improve customer satisfaction, and optimize supply chain operations. The article explores the multi-tiered architecture of retail analytics systems, including data ingestion, processing, and analytics layers, while analyzing the technical implementation considerations necessary for successful deployment. The article covers crucial aspects such as system integration, scalability solutions, performance optimization, and security considerations, with particular attention to emerging markets and sustainability concerns. The article also examines the role of emerging technologies, including edge computing and artificial intelligence, in shaping the future of retail analytics, providing insights into both technological and business implications of these advancements.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | Advanced Analytics; Data Processing; Real-time Analytics; Retail Management; System Integration |
Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management Q Science > Q Science (General) |
Depositing User: | Editor IJSRA |
Date Deposited: | 08 Jul 2025 16:55 |
Last Modified: | 08 Jul 2025 16:55 |
URI: | https://eprint.scholarsrepository.com/id/eprint/162 |