AI Booking table.

We want To create a chatbot for taking bookings via call, we want use a conversational platform like Wit.ai. This platforms provide a way to build conversational interfaces that can handle voice input, recognize user intent, extract information like the number of people, time of booking, and name, and provide a way to fulfill the booking request. Here are the general steps you would need to follow to build a chatbot for taking bookings via call: 1. We want a conversational platform [login to view URL] based on our specific requirements and preferences. 2. Set up a new project. 3. Define intents: Define the different intents your chatbot will recognize, such as booking a table, canceling a booking, or checking availability. 4. Extract information: Use entity recognition to extract information from the user's voice input, such as the number of people, time of booking, and name. 5. Fulfill the booking request: Use the extracted information to fulfill the booking request by either confirming the booking or suggesting alternative times if the requested time is not available. 6. Test and refine: Test your chatbot and refine its conversational flow and entity recognition as needed to ensure a smooth and effective booking process. Once your chatbot is built, you can integrate it with a telephony system to handle incoming calls and enable users to make bookings over the phone We want to use AI NLP [login to view URL] Here's how it can work: Customer calls the Twilio SIP number. Twilio SIP receives the call and forwards it to your conversational AI application built with Wit.ai. The conversational AI application processes the customer's voice input and generates a response. The conversational AI application sends the customer's booking request to your back end for processing. Your back end processes the booking request and returns a response to the conversational AI application. The conversational AI application sends the response back to the customer via the Twilio SIP call. ——————/————— The communication total of 100 words Time estimated 2 min.