SugarCRM

JANUARY 31, 2023

Powered by AI, Sugar Sell can predict future sales volumes despite the lack of complete CRM data. 5 New Features To Improve Sugar Sell’s Forecasting Sugar Sell ’s AI core can help your business drive better predictability and performance by analyzing customer data and compiling it to external data sources, for AI-driven predictions.

Predictive Analytics 26

Predictive Analytics CRM Engineering AI 26

Fonolo

JANUARY 14, 2020

Bold360 is an AI-powered customer messaging platform that uses Natural Language Processing to help agents handle routine queries and tasks, and talk to your customers where they want to engage. And if you’re interested in finding more about the real-world applications of AI, tune into the AI: In Real Life podcast.

Customer Service 136

Customer Service Contact Center Social Media CX 136

Logicalware

JUNE 7, 2022

So today we’re excited to launch two new solutions, Puzzel Smart Chatbot and Puzzel Performance Management, to help you do just that. Puzzel Smart Chatbot is an AI-powered chatbot solution that enables you to provide 24/7 automated customer service on your website. & Child tickets in Puzzel Case Management??

Case Management 52

Case Management Start-ups CRM Customer Satisfaction 52

Logicalware

OCTOBER 3, 2023

Interestingly, AI can help enhance empathy in customer interactions. Personalised recommendations with AI assistants One of the key strengths of Conversational AI is its ability to provide relevant guidance based on context. AI chatbots are a pivotal tool for businesses looking to address these customer needs.

AI 52

AI Sentiment Analysis Customer Experience Social Media 52

SurveySensum

APRIL 21, 2023

Text Analytics: SurveySensum uses AI-driven sentiment analysis to help understand the emotions behind the open-ended responses. It’s a customer experience management (CEM) platform that helps businesses enhance their customer experience and drive growth. Therefore it helps improve customer satisfaction.

Text Analytics 52

Text Analytics Start-ups Social Media Customer Feedback 52

SugarCRM

OCTOBER 27, 2022

These are universal priorities that any professional in sales operations, CRM, or sales strategy should consider: AI and the data capture that fuels it: When times are hard, we need to make decisions on more than gut alone; and AI powers the ability to understand information faster and in greater depth than human analysis can achieve.

B2B 26

B2B E-commerce CRM CX 26

Comm100

NOVEMBER 8, 2018

In this blog post, we’ll break down top types of customer communication channels, and explain some of the use cases for each that will answer these questions. AI-powered chatbots. Knowledge base. Social media. Arguably, organisations wanting to operate in today’s competitive environment can’t afford to not be on social. Knowledge Base.

Social Media 51

Social Media AI Machine Learning Technology 51

SurveySensum

NOVEMBER 11, 2021

SurveySensum is an AI-powered end-to-end customer experience management platform that facilitates SMEs and growth-stage businesses to act effectively on your feedback. . It is an AI-powered adaptive model that understands all the VOC data with exceptional precision and perception. Data Management. Take a look.

Sentiment Analysis 52

Sentiment Analysis Text Analytics Close the Loop Machine Learning 52

1 to 1

MAY 19, 2020

When planning for future crisis invest in: Triage strategies Case management and workflow capabilities Exception-based operating rules pre-vetted and approved. It means that it’s time for AI to step up for the simple things. Chatbots and automated capabilities are making massive strides in deflecting low-effort interactions.

Real Estate 26

Real Estate Contact Center Innovation Case Management 26

SugarCRM

NOVEMBER 27, 2020

Receive AI Support. Since SugarLive incorporates powerful AI technology , your customer-facing team can deliver sophisticated, proactive customer service that smartly anticipates the customer’s needs.

Real Estate 26

Real Estate Machine Learning Start-ups Customer Service 26

SugarCRM

MARCH 14, 2024

How does the CRM integrate with other tools and platforms commonly used in our lead management process? Case Management and Self-Service Does the solution deliver a comprehensive customer record to call center agents that includes data from the sales department?

CRM 26

CRM Compliance Case Management AI 26

Intercom, Inc.

DECEMBER 10, 2020

That’s where companies can use AI to analyze the data and determine the right step to take with that customer. Gainsight leverages its tech stack, which includes Gong to record interactions, together with a case management system and Intercom for communicating with customers across all channels.

B2B 223

B2B Outlook Sales Touchpoint 223

Zendesk

FEBRUARY 28, 2023

Article Recommendations by Contexter (Support) offers AI-powered, in-app, contextual article recommendations. Contexer uses a combination of AI/ML and predictive analytics to get your customers the right help center resources. in an organization. Sweephy (Support) is a data cleaning and preparing automated machine learning tool.

ML 52

ML Predictive Analytics Machine Learning Construction 52

Callminer

OCTOBER 11, 2018

In other cases, managers and QA teams are so overwhelmed with other tasks that they don’t utilize important metrics to their full potential, thus losing out on valuable performance and quality insights. Given the sheer number of metrics and KPIs that call centers could track, it’s no surprise that some metrics tend to go overlooked.

Contact Center 561

Contact Center Non-Profits Compliance Start-ups 561

Fonolo

FEBRUARY 13, 2019

Also, see “ AI is Not Reducing Call Center Agent Employment.”. The ongoing centrality of the voice channel is a recurring theme on this blog. See last week’s post criticizing the New York Times for being the latest to practice lazy journalism by joining in on the ‘robots will take our jobs’ hysteria. Repetitive announcements.”

Contact Center 57

Contact Center Technology Technology CRM 57

Qualtrics

OCTOBER 9, 2020

recorded phone conversations, chat interactions or case management data) and data left by customers voluntarily (e.g., Unstructured data—or what’s sometimes called “ambient” or “found” data—is data that is collected during the normal course of business (e.g., social media comments , user reviews, etc.). You mention conversations.

Unstructured Data 20

Unstructured Data Sentiment Analysis CX Machine Learning 20