• Monday, Sep 30th, 2024 |
  • ISSN: 2456-1134 |
  • +91 9940572462 |
  • isjcresm@gmail.com

International Scientific Journal of Contemporary Research in

Engineering Science and Management

|ISSN Approved Journal | Impact factor: 7.521 | Follows UGC CARE Journal Norms and Guidelines|
|Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal|Impact
factor 7.521 (Calculated by Google Scholar and Semantic Scholar| AI-Powered Research Tool| Indexing)
in all Major Database & Metadata, Citation Generator

Abstract

Transforming Salesforce Through AI and Automation

SRIKANTH PERLA

Abstract

Salesforce, one of the leading Customer Relationship Management (CRM) platforms, has evolved by integrating cutting-edge technologies, notably Artificial Intelligence (AI) and Automation, to help organizations optimize their customer engagement and business processes. This research explores how AI and automation have been implemented within Salesforce, focusing on the resulting innovations that enhance operational efficiency, decision-making, and customer satisfaction. By utilizing AI technologies such as machine learning, natural language processing (NLP), and predictive analytics, Salesforce has revolutionized CRM functions, offering features such as predictive sales forecasting, automated lead scoring, and smart customer service interactions. Automation further streamlines workflows, reduces manual effort, and ensures consistency in handling customer queries and sales processes. This study examines the benefits and challenges of integrating AI and automation into Salesfor

Home

About Us

Editorial Board

Authors

Topics

Current Issue

October 2023

Impact Factor

Indexing

FAQ

Policies

Contact Us

Copyright © 2021 IJMRSET All Rights Reserved