Is Google's Artificial Intelligence-Powered Bot Improving Food Ordering?

To realize the value that a conversational AI brings to a Messenger bot, it is important to look at a few common problems.

When Dialogflow and Manychat are linked, one can better understand the user's messages using powerful conversational AI from Google. Dialogflow uses Natural Language Processing (NLP) technology to process messages.

Here are a few basic examples to assist in understanding the difference between keyword rules in Manychat and NLP.

Dialogflow allows chatbots to extract actionable data from messages and store that data in Manychat User Fields. Without Dialogflow, one would need to add many keyword rules to satisfy an infinite number of user input scenarios, which is not very practical. With Dialogflow, you must create a list of everything on your menu, comprising synonyms.

With Dialogflow linked to Manychat, you don't require to send the users to a particular Flow or step in a Flow to request the user input. Instead, a user can send a message to my bot at any point and utilize Dialogflow to process that input. Suchlike, the Default Message in Manychat becomes a dynamic request, and one can relay every message the bot accommodates to Dialogflow so one can process every incoming message with AI.

When a message strikes Dialogflow, one can respond to the user's news with a simple text response from Dialogflow; they can add three lines of JSON code to tell Dialogflow to react with a Manychat Flow. Values they remove from those messages can be employed to search their Google Sheet and deliver a dynamic response.

That's a short overview of how Dialogflow works and the value it delivers for the everyday experience. First, they must group similar things users might say together in a Dialogflow Intent. Then, you can highlight words inside phrases to extract the actionable data from messages, respond with Manychat flows, and use that extracted data to create more intelligent responses with the help of Manychat.

Dialogflow is robust, but it lacks visual design and marketing tools. Manychat is robust but lacks NLP and database capabilities for dynamic content such as a restaurant menu. Google Sheets is convenient for managing frequently and changing content, like a restaurant menu. Yet, when these systems are combined, a dynamic conversational food ordering experience will delight customers and produce business results.