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eISSN: 2582-8185 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

Integrating SAP with Google Cortex AI/ML for enhanced business intelligence in retail

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  • Integrating SAP with Google Cortex AI/ML for enhanced business intelligence in retail

Ravi Kumar Kurapati *

Kakatiya University, India.

Review Article

World Journal of Advanced Research and Reviews, 2025, 26(02), 1777-1784

Article DOI: 10.30574/wjarr.2025.26.2.1822

DOI url: https://doi.org/10.30574/wjarr.2025.26.2.1822

Received on 03 April 2025; revised on 11 May 2025; accepted on 13 May 2025

The retail industry stands at a transformative crossroads, driven by technological innovations that fundamentally reshape operational paradigms. This article delves into the strategic integration of SAP enterprise resource planning systems with Google Cortex AI/ML frameworks, illuminating a powerful convergence that revolutionizes retail business intelligence capabilities. By harnessing vast operational datasets, retailers can unlock unprecedented insights, enabling enhanced demand forecasting, personalized customer experiences, dynamic pricing optimization, and supply chain resilience. The technological synergy provides organizations with sophisticated tools to navigate complex market landscapes, transforming raw data into actionable intelligence that drives competitive advantage and operational excellence.

Retail Intelligence; SAP Integration; Artificial Intelligence; Machine Learning; Business Transformation

https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-1822.pdf

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Ravi Kumar Kurapati. Integrating SAP with Google Cortex AI/ML for enhanced business intelligence in retail. World Journal of Advanced Research and Reviews, 2025, 26(2), 1777-1784. Article DOI: https://doi.org/10.30574/wjarr.2025.26.2.1822

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


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