Companies who have been running a bot for a while will realize that the main reason why bot doesn’t understand users is because they write so badly, they make typos and mix languages. Being honest, users don’t make it easy to be understood. This is the challenge that bot’s developers have to face.
It’s 10pm on Saturday. I am having troubles renewing my car insurance online and I need customer support right now. There will be anybody attending me? Or are you willing to lose me as a customer?
The well-known Rasa chatbot-building platform is gaining weight day after day. But, in all platforms, chatbots are as good as their training material.
For a monolingual person, it comes as an uncomfortable reality that most people in the world (60%) speak more than one language in their day-to-day lives. It is very common that a person who speaks one language at home and then another one outside, be it at school or at work. But many more scenarios are possible.
What happens after you build a chatbot for a client? I mean, when the architecture is set up, the NLU module has been built, the conversation flows are designed, and everything is ready. All is left is going into production, where you will have thousands of users' interactions that will train your bot and make it super smart, right?