SugarCRM

JULY 7, 2022

Businesses need to use a CRM that incorporates artificial intelligence (AI) and machine learning (ML) into its functionality to augment staff knowledge and help prioritize workload focus. CRMs that use sentiment analysis can automatically redirect sensitive incoming cases to more skilled or senior customer service/support agents.

Technology 55

Technology Technology Data Entry ML 55

Comm100

DECEMBER 16, 2024

Sentiment analysis AI analyzes customer text or speech to gauge emotion and tone, categorizing interactions as positive, neutral, or negative. Machine Learning (ML) Uses algorithms to analyze data, identify patterns, and improve performance or make predictions without being explicitly programmed.

Customer Service 52

Customer Service Sentiment Analysis AI Social Media 52

Zendesk

OCTOBER 4, 2023

AI often powers intelligent customer service tools that assist with sentiment analysis, personalization, and problem-solving to streamline support interactions. Using data, AI continuously learns, making it a powerful tool for problem-solving. For example, making decisions, understanding context, and personalizing responses.

Artificial Intelligence 52

Artificial Intelligence Sentiment Analysis AI Machine Learning 52

SugarCRM

APRIL 21, 2022

But using aspects of artificial intelligence (AI) or machine learning (ML) to augment workers’ knowledge can help prioritize workload focus. Also, the use of sentiment analysis helps automatically redirect sensitive incoming cases to more skilled or senior customer service/support agents.

CRM 29

CRM B2C Sentiment Analysis Data Entry 29