![]() ![]() In order to put together a WhatsApp Dialogflow bot, you will need: What Do You Need to Make a Dialogflow-WhatsApp Assistant with Landbot? ![]() So whether you are a developer looking for simplifications and hacks to make your work easier or a person with little to coding knowledge, this article is for you. Therefore, this article will show you how to build a chatbot using Google’s NLP software Dialogflow in combination with Landbot builder and do so quickly, efficiently and without losing overview and control. The problem, however, is that most companies, especially the smaller ones stay away from NLP bots thinking their production is too expensive and time-consuming to balance the investment. Hence, WhatsApp is a perfect canvas for NLP-driven conversations. Since WhatsApp has a fairly limited interface when compared to other messaging apps such as Facebook Messenger, the conversation largely relies on text rather than rich UI elements. ![]() One of these channels is the most popular messaging app in the world, WhatsApp. However, there are times - and channels - when the use of natural language processing (NLP) can make a positive difference in customer experience. These kinds of bots, too, can be powerful and incredibly useful. While, in recent years, more and more chatbots have been popping up, most of them are scripted linear conversations where users’ natural input is limited or non-existent. The world pandemic and the consequential race for digitalization have resulted in an unprecedented rise in the use of chatbot technologies, artificial intelligence, and machine learning algorithms bringing the future of chatbots closer to our daily reality than ever before. Discover how to build a Dialogflow-WhatsApp chatbot using Landbot’s no-code interface and WhatsApp campaign manager to cut costs and streamline the process. ![]()
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