Also called virtual assistants, chatbots are preconfigured programs that can instantly decode questions, query the database, and immediately answer users’ questions via both voice and chat does it work.
The chatbot is based on artificial intelligence (AI) , natural language processing (NLP) and machine learning.
Therefore, in order to create one, in addition to back-end development skills, it is necessary for your specialists to have a deep knowledge of different languages and technologies.
How does the chatbot work?
The chatbot works based on specific triggers and algorithms. Therefore, it automatically completes an action, interprets words and provides predefined responses.
Like all software, the chatbot works according does it work to programming, which can vary in terms of complexity.
types of chatbot available on the market are
Rule-based
These are the simplest, they are configured to identify a specific keyword and thus trigger responses consistent with that trigger.
Rule-based chatbots cannot perform whatsapp number list more complex tasks and their language
and vocabulary are simpler and more limited.
However, this does not mean that they are ineffective. On the contrary, they are very effective in processes such mastering the art of storytelling: engaging audiences with compelling stories as qualifying leads and answering frequently asked questions.
Those based on machine learning
This online chatbot follows the principles of machine learning. That is, it can learn from user requests and interactions.
To achieve this, it has an evolutionary process that over time is able to better interpret demands and requests, improving the customer experience by providing much more intelligent responses.
Those based on Artificial Intelligence
The AI chatbot is the most advanced. It manages to combine the benefits of rule-based robots with
the power of machine learning programs
In other words, it mixes natural language processing with machine learning and artificial intelligence to understand customers at a more complex level.
Just to give you an idea, the AI chatbot understands customer preferences, the context of the conversation and even manages to respond to users according to their communication style, using slang and regional terms.
In addition, it can work in conjunction with other company channels and applications, thus helping to enhance the omnichannel approach, does it work offering a complete, personalized and integrated experience.
Training a website chatbot requires patience and specialist knowledge. In addition, it is a constant job and must be accompanied by the digital transformation of the company, aligning it with market demands and requests or betting email list changes from the company itself.
To avoid communication problems and frustration, it is essential to create a chatbot that alerts when it does not understand the language or the client’s request.
This practice promotes transparency and optimizes the customer experience by offering the opportunity to speak to a human assistant, if desired.
Configure the chatbot to become humanized
There is nothing more annoying for a customer than realizing that they are talking to a machine.
To avoid this experience, set the system to not repeat questions and to offer answers with different, more creative words.