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

Fonolo

JANUARY 10, 2023

There is plenty to learn about artificial intelligence and its cousin, machine learning (ML). On the contrary, it’s an excellent tool to enhance the customer experience and give your contact center a boost. The Importance of Personalized Customer Service. For starters, let’s debunk the myths and get to the facts.

Artificial Intelligence 91

Artificial Intelligence Contact Center Machine Learning Data Entry 91

SugarCRM

FEBRUARY 28, 2023

However, high-performing CRM platforms now feature AI technology and automated data acquisition to improve their capabilities, accelerate CX efforts, and eliminate manual data entry. Looking into the (near) future, CRM systems may feature data that users have never logged in. How AI and ML Change Companies’ Data Strategy?

AI 26

AI Data Entry CX CRM 26

Zendesk

OCTOBER 4, 2023

Olivia is a customer service agent at a bustling, understaffed customer service department. To free up her time, bots quickly answer customer questions or acknowledge receipt of the query and when customers can expect a reply. However, her capacity often fluctuates based on the complexity of the tasks.

Artificial Intelligence 52

Artificial Intelligence Sentiment Analysis AI Machine Learning 52

Ameyo Callversations

JUNE 1, 2022

Optimized Customer Service Operations. Irrespective that customers might be unaware of conversational AI, it has become an integral part of the business. With Conversational AI, NLP and ML companies can understand users’ thoughts and experiences. Most big brands have chatbots and voice bots.

AI 52

AI Artificial Intelligence CX Machine Learning 52

SugarCRM

APRIL 21, 2022

Engaging with a customer service/support agent working remotely is not unexpected. But the new normal customer expectations have adjusted to account for the fact that there may be, for example, a background noise on a call and that a supervisor may need to engage with an agent via Zoom.

CRM 29

CRM B2C Sentiment Analysis Artificial Intelligence 29

SugarCRM

OCTOBER 26, 2023

Advanced sales forecasting capabilities, ideally powered by AI and ML, are essential to help you identify potential risks and opportunities. More than this, business automation helps you save time and resources by automating tasks such as lead nurturing, communications, and data entry.

CRM 29

CRM Predictive Analytics Data Entry ML 29