Taximast

B2BWhatsApp APIAgentes IAIntegración Legacy

0 %Ban Risk

24/7 AI Support

Context

A taxi company with over 20 years of history needed to modernize its customer service. Their existing system relied on an unofficial WhatsApp API, triggering Meta bans and risking the historic phone number known to all their clients.

The Challenge

Preventing the loss of their main sales channel. Migrating to the official API required building message-routing infrastructure from scratch and, the biggest challenge: making it coexist with their legacy control system written in Visual FoxPro.

The Solution

I developed a bridge web application connecting their legacy system with Meta's official API. To optimize service, I integrated an AI agent (Google Gemini) to handle initial requests. I implemented a smart state system that transfers the conversation to a human operator only when necessary.

Results

Upon implementation, the system reduces commercial ban risks to zero, guaranteeing the retention of their 20-year client base. Furthermore, AI triage will prevent phone and human operator saturation during peak hours.

Tech Stack

Next.js

WhatsApp API

Gemini AI

MongoDB

My Role:

Lead Full-Stack Developer & API Integrator