What is Conversational AI?
What is Conversational AI?
Conversational AI combines natural language processing (NLP) with conventional AI tools like chatbots, voice assistants, or an interactive voice recognition system. The aim is to help customers through a spoken or typed interface.
It works in four steps:
- The user provides inputs either through voice or text
- The AI tries to understand the input through natural language understanding (NLU) or automatic speech recognition (ASR)
- Natural language generation is used to create a dialog in response to the input query.
- Reinforcement learning. In this step, user inputs are analyzed to refine replies over time.
Now, let us see how this technology comes to play in customer service.
Conversational Service Automation: Improving Customer Service with Conversational AI
Conversational service automation (CSA) is a combination of data analytics, voice bots, Conversational AI, Conversational Robotic Process Automation (RPA), and user feedback history.
The AI uses machine learning (ML) to accept corrections and learn from each experience. This learning helps it adapt and allows it to produce more accurate responses in the future.
With CSA, businesses can personalize and optimize human-to-chatbot interactions. It also helps improve direct conversations between service agents and customers. CSA functions across all customer touchpoints, offering seamless customer service experiences from start to finish.
Here is an example. Businesses can use Conversational AI to improve their FAQ responses. Suppose you have an airline, and your customers often have queries like, “How much luggage is allowed on your airline?” People can phrase this question in several ways. They may ask, “What is the maximum weight of luggage allowed?” or “How much baggage can I take?”
So, while designing the AI tool, developers can help it recognize words like baggage, baggage claim, luggage, carry on, etc. After each customer service interaction, the customer can give feedback about how helpful they found the tool. This feedback will help the AI tool understand if their answers were accurate.
So, unlike chatbots, this is a smarter and more dynamic system.
The Benefits of Conversational AI
Conversational AI revamps your customer service experiences. So, ultimately, it benefits businesses and customers alike. Here’s how.
How Conversational AI Benefits Your Customers
- It answers their queries fast: Customers are often busy, distracted, and impatient when they have a pressing issue. They do not appreciate being put on hold, wrestling through an interactive voice response system, or restarting chatbot sessions that go nowhere. Conversational AI helps deliver immediate answers to clients of all kinds in one go. Giving your customers a quick resolution to their queries is a surefire way to make their experience more delightful.
- It can predict a customer’s concerns and suggest relevant queries: Very often, a customer may have multiple questions about the same thing. Conversational AI may help educate users through helpful prompts and probing questions. Just like human customer service representatives give customers tutorials about their services, you can enable your AI tool in the same way. In fact, it will be an even better approach since AI can leverage a customer’s profile data and give them personalized tutorials.
- It can guide your customers: Some customers might need your services but don’t quite know where to look. Conversational AI can serve as a valuable guide for these customers. For instance, in banks, customers might need help to figure out where to go. Conversational AI can listen to their queries and guide them to relevant departments.
How Conversational AI Benefits Your Organization
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