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ISSN Approved Journal || eISSN: 2582-8185 || CODEN: IJSRO2 || Impact Factor 8.2 || Google Scholar and CrossRef Indexed

Fast Publication within 48 hours || Low Article Processing Charges || Peer Reviewed and Referred Journal || Free Certificate

Research and review articles are invited for publication in January 2026 (Volume 18, Issue 1)

Real-time analytics revolutionizing retail order management

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  • Real-time analytics revolutionizing retail order management

Raghavendra Gandhi Raketla *

Sri Krishnadevaraya University, India.

Research Article

International Journal of Science and Research Archive, 2025, 14(01), 1649-1658

Article DOI: 10.30574/ijsra.2025.14.1.0292

DOI url: https://doi.org/10.30574/ijsra.2025.14.1.0292

Received on 17 December 2024; revised on 24 January 2025; accepted on 27 January 2025

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.

Advanced Analytics; Data Processing; Real-time Analytics; Retail Management; System Integration

https://journalijsra.com/sites/default/files/fulltext_pdf/IJSRA-2025-0292.pdf

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Tinatin Gogrichiani. Organization of the data monitoring process within the framework of clinical trials. International Journal of Science and Research Archive, 2025, 14(01), 1649-1658. Article DOI: https://doi.org/10.30574/ijsra.2025.14.1.0292.

Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0

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