Transforming Salesforce with AI: Personalized Customer Engagement through Machine Learning Techniques

EasyChair Preprint 14637

Abstract

The study delves into the specific machine learning techniques that enhance Salesforce’s personalization capabilities, including predictive modeling, recommendation systems, and sentiment analysis. These techniques enable businesses to segment their customer base more effectively, anticipate needs, and provide personalized offers and communications that resonate with individual customers. The findings underscore the significant impact of AI on Salesforce’s ability to deliver personalized customer engagement. By integrating machine learning techniques, businesses can not only enhance the relevance and effectiveness of their customer interactions but also gain a competitive edge in the market. This paper provides actionable insights for organizations seeking to capitalize on Salesforce’s AI capabilities to transform their customer engagement strategies

Keyphrases: AI, Customer Engagement Strategies, Personalized Customer, machine learning, predictive modeling

@booklet{EasyChair:14637,
  author    = {Adeoye Qudus},
  title     = {Transforming Salesforce with AI: Personalized Customer Engagement through Machine Learning Techniques},
  howpublished = {EasyChair Preprint 14637},
  year      = {EasyChair, 2024}}