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

Palla, Srinath Reddy (2025) Leveraging AI for enhanced user adoption in salesforce implementations: A technical deep dive. Global Journal of Engineering and Technology Advances, 23 (1). pp. 290-295. ISSN 2582-5003

[thumbnail of GJETA-2025-0118.pdf] Article PDF
GJETA-2025-0118.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial Share Alike.

Download ( 534kB)

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.

Item Type: Article
Official URL: https://doi.org/10.30574/gjeta.2025.23.1.0118
Uncontrolled Keywords: User Adoption; Artificial Intelligence; Salesforce Implementation; Predictive Analytics; Automated Intervention
Depositing User: Editor Engineering Section
Date Deposited: 22 Aug 2025 09:08
Related URLs:
URI: https://eprint.scholarsrepository.com/id/eprint/5493