"Turn Chat into Records." Chatat AI is an intelligent web application that helps local small businesses transform unstructured WhatsApp order conversations into organized digital records and professional invoices instantly using Generative AI.
2025
AI Engineer
Built with a modern architecture focusing on performance, scalability, and type safety:
Frontend: Next.js 14 (App Router), React, Tailwind CSS, Shadcn UI.
Backend: Next.js Server Actions, Node.js Custom Server (WA Engine).
Database: PostgreSQL (via Prisma ORM).
AI Engine: Kolosal AI API (OpenAI Compatible).
Authentication: Better-Auth.
Deployment: Vercel (Frontend) & Railway (Background Worker).
In Indonesia, millions of MSMEs (Micro, Small, and Medium Enterprises) conduct sales transactions directly via WhatsApp chat. Unfortunately, the order recapitulation process is still done manually—either handwritten or copied into Excel one by one. This process consumes hours daily, is highly prone to calculation errors, and hinders business growth.
Chatat AI bridges the gap between traditional local habits and modern technology. Without changing how they sell, merchants simply connect their WhatsApp or copy-paste customer conversation logs. Our AI "reads" the messages—handling slang, abbreviations, and typos—and extracts them into structured transaction data automatically.
🤖 AI Smart Parser: Powered by Kolosal AI (Llama 4 Maverick), it understands informal Indonesian language context, distinguishing between "small talk" and "actual orders" with high accuracy.
📱 WhatsApp Mirroring: Connects directly via QR Code (using Baileys engine) to monitor incoming messages in real-time without third-party bot fees.
🧾 Instant Invoice: With a single click, raw chat logs are transformed into professional digital invoices ready to be sent back to customers.
📦 Smart Menu Sync: Automatically matches ordered items with the product database to ensure accurate pricing and inventory tracking.
🔐 Secure Access: Enterprise-grade authentication system using Better-Auth.
Link Demo : https://chatatapp.vercel.app/
"Turn Chat into Records." Chatat AI is an intelligent web application that helps local small businesses transform unstructured WhatsApp order conversations into organized digital records and professional invoices instantly using Generative AI.
2025
AI Engineer
Built with a modern architecture focusing on performance, scalability, and type safety:
Frontend: Next.js 14 (App Router), React, Tailwind CSS, Shadcn UI.
Backend: Next.js Server Actions, Node.js Custom Server (WA Engine).
Database: PostgreSQL (via Prisma ORM).
AI Engine: Kolosal AI API (OpenAI Compatible).
Authentication: Better-Auth.
Deployment: Vercel (Frontend) & Railway (Background Worker).
In Indonesia, millions of MSMEs (Micro, Small, and Medium Enterprises) conduct sales transactions directly via WhatsApp chat. Unfortunately, the order recapitulation process is still done manually—either handwritten or copied into Excel one by one. This process consumes hours daily, is highly prone to calculation errors, and hinders business growth.
Chatat AI bridges the gap between traditional local habits and modern technology. Without changing how they sell, merchants simply connect their WhatsApp or copy-paste customer conversation logs. Our AI "reads" the messages—handling slang, abbreviations, and typos—and extracts them into structured transaction data automatically.
🤖 AI Smart Parser: Powered by Kolosal AI (Llama 4 Maverick), it understands informal Indonesian language context, distinguishing between "small talk" and "actual orders" with high accuracy.
📱 WhatsApp Mirroring: Connects directly via QR Code (using Baileys engine) to monitor incoming messages in real-time without third-party bot fees.
🧾 Instant Invoice: With a single click, raw chat logs are transformed into professional digital invoices ready to be sent back to customers.
📦 Smart Menu Sync: Automatically matches ordered items with the product database to ensure accurate pricing and inventory tracking.
🔐 Secure Access: Enterprise-grade authentication system using Better-Auth.
Link Demo : https://chatatapp.vercel.app/
"Turn Chat into Records." Chatat AI is an intelligent web application that helps local small businesses transform unstructured WhatsApp order conversations into organized digital records and professional invoices instantly using Generative AI.
2025
AI Engineer
Built with a modern architecture focusing on performance, scalability, and type safety:
Frontend: Next.js 14 (App Router), React, Tailwind CSS, Shadcn UI.
Backend: Next.js Server Actions, Node.js Custom Server (WA Engine).
Database: PostgreSQL (via Prisma ORM).
AI Engine: Kolosal AI API (OpenAI Compatible).
Authentication: Better-Auth.
Deployment: Vercel (Frontend) & Railway (Background Worker).
In Indonesia, millions of MSMEs (Micro, Small, and Medium Enterprises) conduct sales transactions directly via WhatsApp chat. Unfortunately, the order recapitulation process is still done manually—either handwritten or copied into Excel one by one. This process consumes hours daily, is highly prone to calculation errors, and hinders business growth.
Chatat AI bridges the gap between traditional local habits and modern technology. Without changing how they sell, merchants simply connect their WhatsApp or copy-paste customer conversation logs. Our AI "reads" the messages—handling slang, abbreviations, and typos—and extracts them into structured transaction data automatically.
🤖 AI Smart Parser: Powered by Kolosal AI (Llama 4 Maverick), it understands informal Indonesian language context, distinguishing between "small talk" and "actual orders" with high accuracy.
📱 WhatsApp Mirroring: Connects directly via QR Code (using Baileys engine) to monitor incoming messages in real-time without third-party bot fees.
🧾 Instant Invoice: With a single click, raw chat logs are transformed into professional digital invoices ready to be sent back to customers.
📦 Smart Menu Sync: Automatically matches ordered items with the product database to ensure accurate pricing and inventory tracking.
🔐 Secure Access: Enterprise-grade authentication system using Better-Auth.
Link Demo : https://chatatapp.vercel.app/