Why AI-based chatbots are now much smarter and more suitable for businesses than regular chatbots with a built logic.
Currently, businesses use a trigger-action system to capture keywords that a chatbot can respond to, essentially waiting for a specific person to mention a certain word.
But does a properly configured chatbot understand these keywords, and what context does it provide afterward?
The issue with keywords is that they have a very narrow context, and we have instances where things could have been misunderstood or misinterpreted.
It’s not just about the words, it’s about the meaning carried by these words. AI-powered technology helps us handle the meaning, because clients may ask questions differently from what we anticipate.
With the AI-based application, we don’t have to guess the intent behind a client’s query or figure out the keywords they use. The application understands the meaning and generates personalized answers which are context-specific. An AI system has a better understanding and gives answers regardless of the circumstances.
This automation does not need query customization or variations in answer formulation. AI-based chatbots outperform traditional ones in serving businesses because they have more “human” communication with users or potential customers.
Businesses do not need to design very intricate systems to create chatbots using keywords that, when mentioned by users, trigger certain responses.
When it comes to training AI chatbots, especially understanding the context of conversations, you don’t need to guess it — trained on a text, AI understands the specific context of your business.
Let’s take a look at the difference in setting up company’s FAQ. They are pretty the same and both provide main information about the business.
But can you see the difference?
Exie helps automate routine part of sales communications using just text information about the business and allows to convert Instagram prospects into customers https://exie.app/
Our goal is to make communication between businesses and their clients on Instagram efficient and comfortable for everyone. Our team members have been working on automation since 2017, so for the last 7 years we’ve been strongly tied to the market along with its challenges, problems, and needs.
We love what we do and want to continuously improve our product. We’d appreciate your questions, suggestions, and feedback.
By the way, if you have a specific case for the Instagram DM automation, let us know — we’ll find the way to make it real.