Leveraging AI for enhanced user adoption in salesforce implementations: A technical deep dive

Srinath Reddy Palla

doi:10.30574/gjeta.2025.23.1.0118

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Leveraging AI for enhanced user adoption in salesforce implementations: A technical deep dive

Srinath Reddy Palla ^*

Salesforce, USA.

Research Article

Global Journal of Engineering and Technology Advances, 2025, 23(01), 290-295.

Article DOI: 10.30574/gjeta.2025.23.1.0118

DOI url: https://doi.org/10.30574/gjeta.2025.23.1.0118

Publication history

Received on 11 March 2025; revised on 20 April 2025; accepted on 22 April 2025

Abstract

The integration of artificial intelligence in Salesforce implementations addresses critical user adoption challenges through real-time behavioral analytics and automated interventions. This technical solution leverages Einstein Analytics Engine, machine learning models, and automated intervention systems to enhance user engagement and system utilization. The implementation framework incorporates sophisticated data collection mechanisms, predictive analytics, and performance benchmarking capabilities to drive meaningful insights and actions. Through AI-powered monitoring and optimization, organizations can achieve improved user adoption rates, accelerated implementation timelines, and enhanced return on investment from their Salesforce deployments.

Keywords

User Adoption; Artificial Intelligence; Salesforce Implementation; Predictive Analytics; Automated Intervention

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How to cite this article

Srinath Reddy Palla. Leveraging AI for enhanced user adoption in salesforce implementations: A technical deep dive. Global Journal of Engineering and Technology Advances, 2025, 23(1), 290-295. Article DOI: https://doi.org/10.30574/gjeta.2025.23.1.0118

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