Chatbots are on the rise and here to help make lives of people and businesses easier. Especially in customer support, chatbots are often used to help answer customer inquiries. However, chatbots are not always as good as we hope them to be. Frustrating and rigid question/answer flows ruin the customer experience and are hurting your brand reputation. Setting up a chatbot can also become very expensive and time consuming.
This article helps you to understand the different chatbot degrees for customer support and what pitfalls to be aware of when implementing a chatbot in your customer support.
What chatbot degrees are there for customer support?
When looking at chatbot and customer support automation, there are two axes you have to look at.
The first axis is the degree of humanity in the conversation. On the far left you have chatbots that are very much decision tree driven with simple questions and answers. On the far right you have chatbots that understand human language by using Artificial Intelligence (AI) and Natural Language Processing (NLP) technology. These chatbots are intent driven.
The second axis to look at is the degree of which personalization takes place. On the far left you have very general, FAQ based questions. On the far right you have personalized experiences like changing an order and cancelling a subscription.
What pitfalls are there when implementing a chatbot in your customer support?
Implementing a chatbot can be tricky, depending on the degree of personalization and the degree of humanity you want in your customer conversations. Here are the 3 biggest pitfalls when implementing automation in your customer support.
Using a DIY chatbot builder
The first pitfall is to use a DIY chatbot builder. Yes, it’s easy and quick, but you’re only building a simple chatbot that is not smart and not personalized
This ruins your customer support experiences and hurts your brand name.
Building a chatbot from scratch
Beginning from scratch for a chatbot can create good, human-like and personalized customer support experiences, but is also very expensive. Unless you are a big company that can spend 100K a year on chatbots, this is a no-go for small businesses.
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Training the NLP engine yourself
To make human-like automation experiences with a chatbot, you have to train the NLP so it understands human language. This is a time consuming process where the NLP engine needs continuous corrections and learning.
Here again the rule is that unless you’re a big company with dedicated Conversational AI experts, this is a no-go for small businesses.
At Table Duck we create smart and personalized customer support experiences for small businesses without you having to train the NLP, build a chatbot from scratch or use a DIY chatbot builder that just isn’t creating that experience for you.
We have predefined sets of intents with all the training data required to create a good experience. Our platform is an easy to use, non-time consuming way to automate your customer support.
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AI enabled chatbots to create stellar automated customer support experiences was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.