Machine Learning, Predictive Analytics and Retail

The Power of Hyper-Personalization in the Contact Center

Fonolo

MAY 23, 2023

It harnesses advanced analytics and machine learning algorithms to dynamically adapt interactions based on real-time data and individual preferences. Real-Time Analytics Use advanced analytics tools to process and interpret data in real time, enabling dynamic personalization during customer interactions.

Contact Center

Contact Center Machine Learning Social Media Artificial Intelligence

Customer analytics 101: How to make the most of your data

Zendesk

FEBRUARY 7, 2022

After studying the data, you might learn long resolution times are the problem. Predictive analytics. Predictive analytics forecasts what your customers are likely to do based on historical data. Predictive analytics also enables you to pinpoint at-risk customers and prevent churn before it happens.

Predictive Analytics

Predictive Analytics Social Media Net Promoter Score NPS

Innovate or Stagnate: Top 4 Customer Service Trends for 2024

Comm100

DECEMBER 12, 2023

Built on advanced machine learning models (LMs) like GPT and with vast datasets, Generative AI bots can hold dynamic, human-like conversations in every interaction. Proactive customer support, powered by predictive analytics, allows us to anticipate and resolve issues before they escalate.

Innovation

Innovation Customer Service Omnichannel Social Media

Webinars

Secrets of a Successful Sale: Optimizing Your Checkout Process

How To Craft Your Perfect Retail Tech Stack

Manual Call Reviews? Theres a Better Way!

MORE WEBINARS

How to Develop Your AI Strategy Today as a Customer Experience Leader

Experience Investigators

MAY 7, 2024

Artificial intelligence is the ability of machines to exhibit human-like intelligence. It involves a few areas, such as machine learning, neural networks, and natural language processing. Predictive Analytics and Sentiment Analysis : AI algorithms can sift through vast amounts of customer data. AI is nothing new.

AI

AI Sentiment Analysis Artificial Intelligence Customer Experience

Building a better Social Suite: 12 features that fuel your enterprise-wide social media strategy

Sprinklr

OCTOBER 20, 2021

Harness machine learning and AI to generate insights, enrich data, highlight anomalies, and recommend next actions. Unique AI capabilities: does the technology have AI capabilities built for unstructured data, such as anomaly and trend detection, predictive analytics, and industry-specific AI models?

Social Media

Social Media Unstructured Data CXM Social Listening

Predictive Lead Scoring: A Path to Profitable Growth

CommBox

NOVEMBER 1, 2021

This is the reason why many corporations decided to switch to the predictive lead scoring business model. Lead scoring with predictive analytics eliminates or minimizes the element of human error, resulting in a higher rate of lead identification. Sales Sell Selling Commerce Costs Profit Retail Concept.

Machine Learning

Machine Learning Artificial Intelligence Sales Predictive Analytics

5 Ways to Bridge Your Operational Gaps with Technology as IT Needs Grow

SugarCRM

MAY 4, 2023

Lean on Machine Learning and Predictive Analysis The best indicator of future performance is past performance. Big data analytics can help businesses gain insights from large volumes of data to make better decisions.

Technology

Technology Technology Artificial Intelligence Machine Learning

5 Ways to Bridge Your Operational Gaps with Technology as IT Needs Grow

SugarCRM

MAY 4, 2023

Lean on Machine Learning and Predictive Analysis The best indicator of future performance is past performance. Big data analytics can help businesses gain insights from large volumes of data to make better decisions.

Technology

Technology Technology Artificial Intelligence Machine Learning

5 Ways to Bridge Your Operational Gaps with Technology as IT Needs Grow

SugarCRM

MAY 4, 2023

Lean on Machine Learning and Predictive Analysis The best indicator of future performance is past performance. Big data analytics can help businesses gain insights from large volumes of data to make better decisions.

Technology

Technology Technology Artificial Intelligence Machine Learning

Is Hyper-Personalization The Next Big Thing In Business?

Aquire

AUGUST 27, 2021

It’s about using data, AI machine learning, and predictive analytics to understand your audience’s individual behaviors and make interactions more relevant to them. One of the most hi-tech examples of facial-recognition technology used in retail stores that assesses the passing moods of customers.

Artificial Intelligence

Artificial Intelligence Machine Learning Social Media Predictive Analytics

The Chatbot Beginner’s Guide: All Your Questions Answered

Aquire

AUGUST 2, 2021

These conversational programs have proved a popular application of advanced tech, such as machine learning and natural language processing (NLP). The second type uses more powerful artificial intelligence, machine learning and predictive analytics, and are therefore better equipped to “sound” human and learn as they go.

Machine Learning

Machine Learning Predictive Analytics Healthcare AI

Top Conversational AI Statistics and Trends to Follow in 2022

Ameyo Callversations

AUGUST 24, 2022

Given below are some research-based statistics providing valuable insights related to the trends in the chatbot industry: Adoption of advanced chatbots across banking, retail, and healthcare sectors is expected to result in cost savings of $11 billion in a year by 2023, with over 70% of chatbots being retail-based.

AI

AI Sentiment Analysis Contact Center Artificial Intelligence

Guide to omnichannel contact centers

Zendesk

SEPTEMBER 5, 2023

Bots and virtual assistants: Automated systems use natural language processing and machine learning to provide instant responses and useful resources. Predictive analytics: AI algorithms can anticipate customer needs based on patterns, enabling employees to proactively personalize recommendations and deliver targeted service.

Contact Center

Contact Center Omnichannel Social Media AI

A to Z Guide to Customer Experience Definitions and Terms (Updated)

Lumoa

FEBRUARY 9, 2023

The most important AI technologies, that are relevant for analyzing customer feedback, fall in the area of natural language processing (NLP) and machine learning. Both groups of technologies can be utilized to make analytics more actionable. By the way, did you know that Lumoa’s analytics is powered by AI?

Net Promoter Score

Net Promoter Score Customer Experience B2C Social Media

11 ways to use AI for a better employee experience

Zendesk

OCTOBER 25, 2023

How it works with Zendesk: Premium department store retailer Liberty implemented Zendesk AI with intelligent routing to help sort and classify ticket requests. The bot uses machine learning to learn with each interaction, improving over time and increasingly offering personalized experiences.

AI

AI Sentiment Analysis Artificial Intelligence Start-ups

Top 15 NBFC Customer Feedback Tools for Effective Feedback Management

SurveySensum

OCTOBER 17, 2023

Not only does it allow users to create NPS, CES, and CSAT surveys but also takes a step beyond with CSI and SSI, Onboarding, Feature Prioritization, Merchant Satisfaction, and other surveys as per the industries – Retail, B2B, SaaS, FinTech, Automotive, and Healthcare. It enables users to create detailed and customized reports.

Customer Feedback

Customer Feedback NPS Actionable Insights Sentiment Analysis

Four Manufacturing Trends Driving Sales

SugarCRM

AUGUST 19, 2019

With many retailers leveraging their logistics providers to pack and ship items to customers direct, these businesses are no longer just servicing their own B2B customers, they’re responsible for meeting the needs of their customers’ customers too. But without the right tools to analyze and leverage that data, it’s meaningless.

Manufacturing

Manufacturing Sales Predictive Analytics CRM

Customer Experience Strategy: An A to Z Glossary

Lumoa

MARCH 20, 2018

The most important AI technologies relevant for analyzing customer feedback fall in the area of natural language processing (NLP) and machine learning. Both groups of technologies can be utilized to make analytics more actionable. Learn More about the role of AI in CX. Why is NPS ® going up or down?

Net Promoter Score

Net Promoter Score Customer Experience B2C CEM

A to Z Guide to Customer Experience Definitions and Terms

Lumoa

MARCH 20, 2018

The most important AI technologies relevant for analyzing customer feedback fall in the area of natural language processing (NLP) and machine learning. Both groups of technologies can be utilized to make analytics more actionable. Learn More about the role of AI in CX. Why is NPS ® going up or down?

Net Promoter Score

Net Promoter Score Customer Experience B2C CEM

Tech Customer Success

The Power of Hyper-Personalization in the Contact Center

Customer analytics 101: How to make the most of your data

Webinars

Trending Sources

Innovate or Stagnate: Top 4 Customer Service Trends for 2024

Webinars

How to Develop Your AI Strategy Today as a Customer Experience Leader

Building a better Social Suite: 12 features that fuel your enterprise-wide social media strategy

Predictive Lead Scoring: A Path to Profitable Growth

5 Ways to Bridge Your Operational Gaps with Technology as IT Needs Grow

5 Ways to Bridge Your Operational Gaps with Technology as IT Needs Grow

5 Ways to Bridge Your Operational Gaps with Technology as IT Needs Grow

Is Hyper-Personalization The Next Big Thing In Business?

The Chatbot Beginner’s Guide: All Your Questions Answered

Top Conversational AI Statistics and Trends to Follow in 2022

Guide to omnichannel contact centers

A to Z Guide to Customer Experience Definitions and Terms (Updated)

11 ways to use AI for a better employee experience

Top 15 NBFC Customer Feedback Tools for Effective Feedback Management

Four Manufacturing Trends Driving Sales

Customer Experience Strategy: An A to Z Glossary

A to Z Guide to Customer Experience Definitions and Terms

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