This content originally appeared on DEV Community and was authored by AlabaMustapha
This is a submission for Twilio Challenge v24.06.12
What I Built
Optimizing Business Efficiency with AI Operators
Many businesses spend hours daily taking orders over the phone from prospective clients, leading to less productive employee time and increased operational costs.
AI Operators can revolutionize this process by intuitively collecting orders from prospective clients and notifying the business through email or external APIs when an order is ready for fulfillment. This automation will enhance employee productivity and reduce business costs by streamlining the manual order collection process.
A compelling proof of concept for such AI Operators is the AI Taxi Dispatch Operator. This solution enables taxi companies to automate the booking process and dispatch drivers and vehicles using the company's dispatch system via APIs or manual assignments.
In this implementation, Twilio WhatsApp messaging is utilized to create an AI operator built with OpenAI technology. The AI operator gathers all necessary information from the user, sends out dispatch requests through the company's dispatch API, and notifies both the company and the user when a driver has been dispatched.
By integrating AI Operators, businesses can significantly improve efficiency, reduce costs, and provide better service to their clients.
Demo
Github Repo
This is a submission for Twilio Challenge v24.06.12
What I Built
Optimizing Business Efficiency with AI Operators Many businesses spend hours daily taking orders over the phone from prospective clients, leading to less productive employee time and increased operational costs.
AI Operators can revolutionize this process by intuitively collecting orders from prospective clients and notifying the business through email or external APIs when an order is ready for fulfillment. This automation will enhance employee productivity and reduce business costs by streamlining the manual order collection process.
A compelling proof of concept for such AI Operators is the AI Taxi Dispatch Operator. This solution enables taxi companies to automate the booking process and dispatch drivers and vehicles using the company's dispatch system via APIs or manual assignments.
In this implementation, Twilio WhatsApp messaging is utilized to create an AI operator built with OpenAI technology. The AI operator gathers all necessary information…
Youtube Demo and Screenshots
Demo 1
Demo 2: App and Explanation
Twilio and AI
Twilio WhatsApp Messaging was used as the primary communication medium for the users. Messages sent to the WhatsApp number are processed through webhook by a web app built on Laravel. These incoming messages are sent to an AI assistant powered by the OpenAI GPT4 model. The AI assistance is tasked to handle the conversation until all required details to request a booking are provided after which the booking details is sent to the database for dispatching followed by email notification to admin and dispatch notification to the user with drivers details
Additional Prize Categories
Twilio Times Two
I used the Twilio WhatsApp Messaging feature for the interaction between the user and the operator. Twilio SMS Feature is used for failover notifications.
Impactful Innovators
This product will help companies reduce operation costs, save time, and increase lead generation.
This content originally appeared on DEV Community and was authored by AlabaMustapha
AlabaMustapha | Sciencx (2024-06-23T22:57:27+00:00) AI Taxi Dispatch Operator. Retrieved from https://www.scien.cx/2024/06/23/ai-taxi-dispatch-operator/
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