Kurapati, Ravi Kumar (2025) Integrating SAP with Google Cortex AI/ML for enhanced business intelligence in retail. World Journal of Advanced Research and Reviews, 26 (2). pp. 1777-1784. ISSN 2581-9615
![WJARR-2025-1822.pdf [thumbnail of WJARR-2025-1822.pdf]](https://eprint.scholarsrepository.com/style/images/fileicons/text.png)
WJARR-2025-1822.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial Share Alike.
Abstract
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.
Item Type: | Article |
---|---|
Official URL: | https://doi.org/10.30574/wjarr.2025.26.2.1822 |
Uncontrolled Keywords: | Retail Intelligence; SAP Integration; Artificial Intelligence; Machine Learning; Business Transformation |
Depositing User: | Editor WJARR |
Date Deposited: | 20 Aug 2025 10:52 |
Related URLs: | |
URI: | https://eprint.scholarsrepository.com/id/eprint/2976 |