Artificial Intelligence In Customer Service
Published 12/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.23 GB | Duration: 0h 55m
Published 12/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.23 GB | Duration: 0h 55m
Ways to use artificial intelligence in customer service, Ways customer service automation boost customer satisfaction
What you'll learn
How to implement artificial intelligence in customer service
Ways to use artificial intelligence in customer service
Ways customer service automation can help boost customer satisfaction score
How to help make artificial intelligence safe for humanity
Benefits of artificial intelligence in customer service
Requirements
Desire to learn more about artificial intelligence
No special requirement
Description
Many businesses have successfully combined artificial intelligence and customer service operations, improving efficiency and customer satisfaction. For instance, major e-commerce companies use AI- powered chatbots to handle initial customer inquiries, automation responses to common questions about order status, returns, and product information. This implementation can result in faster response times and reduced workload for human agents. Another example is telecommunications providers that use artificial intelligence. When implementing AI in customer service, it's crucial to maintain a balance between automation and human interaction. While AI excels at handling routine inquiries and initial customer interactions, complex issues often require the nuanced understanding and problem-solving skills that human agents provide. Small and large businesses are expanding their customer services, while holding prices down. By deploying intelligent chatbots, which is one of the primary roles of AI powered customer support. sixty percent of online clients dislike waiting longer tan sixty seconds for an answer to their inquiry. Chatbots are minimizing client wait times and providing faster answers to their questions, increasing consumer loyalty. Customers want brands to be accessible and responsive at all times of the year. This is where automated customer service comes to the rescue. It enables businesses to provide round-the-clock customer assistance and quickly handle concerns. Customer can have their questions answers 24 hours a day, 7 days a week, without having to wait significant amounts of time for a response.
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 What is artificial intelligence in customer service
Lecture 3 Benefits of artificial intelligence in customer service
Lecture 4 Examples of artificial intelligence in customer service
Section 2: Ways To Use Artificial Intelligence In Customer Service
Lecture 5 AI - powered chatbot for instant customer support
Lecture 6 Predictive customer service using AI analytics
Lecture 7 AI enhanced self service portals
Lecture 8 Automated customer service ticketing with AI
Lecture 9 AI driven sentiment analysis for customer feedback
Lecture 10 Real time language translation for global customer support
Lecture 11 AI enable personalization for customer interactions
Lecture 12 AI assisted quality control and training
Lecture 13 AI for handling high volume interactions
Lecture 14 AI driven customer journey mapping
Lecture 15 Integrating AI with multichannel support
Section 3: Ways Customer Service Automation Can Help Boost Customer Satisfaction Score
Lecture 16 Ways customer service automation improve customer satisfaction
Lecture 17 A customer success story; customer automation in action
Lecture 18 Transforming customer service one chatbot at a time
Section 4: How To Help Make Artificial Intelligence Safe For Humanity
Lecture 19 Learning
Lecture 20 Working
Lecture 21 Donating
Lecture 22 Committing to your plan
Lecture 23 Multiplying your impact
Section 5: How To Implement Artificial Intelligence In Customer Service
Lecture 24 Step by step to implementing AI
Lecture 25 Best practices for AI customer service
Customers service staff, companies, customers, government, consultants, management, CEO, director, managers, general public etc.