Designing AI-Enhanced Architectures for Handling User Profiles Across SAP and Concur Services

This study explores the integration of artificial intelligence (AI) in designing architectures for managing user profiles across SAP and Concur services.As businesses increasingly rely on these platforms for enterprise resource planning (ERP) and travel and expense management, the need for seamless user experience and personalized services has grown.This research examines the challenges in current user profile management systems and proposes an AI-enhanced architecture that leverages machine learning and data analytics to improve user interaction and decision-making processes.By analyzing existing frameworks and methodologies, this paper highlights the potential benefits of AI in automating user profile handling, enhancing data security, and providing tailored solutions.The findings suggest that implementing AI-driven solutions can significantly optimize the management of user profiles, improve operational efficiency, and deliver superior user experiences.

Publication Details

Journal
International Journal of Research in Modern Engineering & Emerging Technology
Published
2025-09-01
DOI
https://doi.org/10.63345/ijrmeet.org.v13.i9.5
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

Designing AI-Enhanced Architectures for Handling User Profiles Across SAP and Concur Services

International Journal of Research in Modern Engineering & Emerging Technology
Big Data and Business Intelligence
article

Designing AI-Enhanced Architectures for Handling User Profiles Across SAP and Concur Services

article en

Abstract

This study explores the integration of artificial intelligence (AI) in designing architectures for managing user profiles across SAP and Concur services.As businesses increasingly rely on these platforms for enterprise resource planning (ERP) and travel and expense management, the need for seamless user experience and personalized services has grown.This research examines the challenges in current user profile management systems and proposes an AI-enhanced architecture that leverages machine learning and data analytics to improve user interaction and decision-making processes.By analyzing existing frameworks and methodologies, this paper highlights the potential benefits of AI in automating user profile handling, enhancing data security, and providing tailored solutions.The findings suggest that implementing AI-driven solutions can significantly optimize the management of user profiles, improve operational efficiency, and deliver superior user experiences.

International Journal of Research in Modern Engineering & Emerging TechnologyVol. 13(9)
Openalex Percentile: Top 61%
Big Data and Business Intelligence
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