Case Study

Mobile

DineAssist AI

This is a Flutter-based restaurant ordering app where users can place orders by tapping menu items or using voice input. Before ordering, customers select their table from a 12-table animated grid UI. The app sends order text to an n8n webhook , where an AI flow processes the order, returns structured bill data (items, quantity, total, suggestion), and the app shows a digital receipt. Each table also has a dedicated QR code that customers can scan to directly open the order page with their table pre-filled. The app supports ESC/POS thermal receipt printing — natively (Android/iOS/Desktop) via direct TCP connection to the printer, and on web via a local Node.js bridge server that converts HTTP requests to TCP commands. WiFi printer auto-detection scans the local subnet to find ESC/POS printers on port 9100. The app is deployed to Firebase Hosting with clean URL path routing. From the n8n workflow, the automation path is: Webhook (POST) → AI Agent (Groq Chat Model) → JavaScript Code Node → Respond to Webhook + Append Row in Google Sheet. User orders are also stored in Google Sheets for kitchen ticket/ops tracking.

Flutter

Node.js

REST/Webhook integration

n8n automation workflow

Firebase Hosting

Challenges & solutions

The technical problems our team solved to ship a reliable, unified mobile experience.

Accurate AI Order Interpretation

Understanding natural language food orders entered through text or voice, including customizations, quantities, and mixed ordering styles, required an AI pipeline capable of converting unstructured requests into structured order data.

Reliable Restaurant Workflow Automation

Connecting the mobile application with AI processing, billing logic, and order storage while maintaining a seamless user experience required a robust end-to-end automation workflow.

Cross-Platform Thermal Printer Support

Supporting ESC/POS receipt printing across Android, iOS, desktop, and web required different communication approaches while maintaining a consistent printing experience on every platform.

Automatic Printer Discovery

Detecting compatible WiFi receipt printers on local networks without requiring manual IP configuration demanded efficient network scanning and reliable device identification mechanisms.

Table Identification Without Errors

Ensuring every customer order was associated with the correct restaurant table across manual selection, QR code scanning, billing, and kitchen operations required a reliable table identification workflow.

Key features

What users get in the finished, shipped product.

Voice and Manual Ordering :

Interaction : Seamlessly switch between speaking orders or tapping menu cards.
Automation : The shopping cart updates automatically based on user input.
Versatility : Provides a hands-free ordering experience alongside classic touch controls.

Table Selection and QR Integration :

Selection : Choose from 12 tables via an animated grid interface.
Deep-Linking : Unique per-table QR codes pre-fill the table number for the user.
Flow : The Table ID persists through the entire ordering and receipt process.

Smart AI Bill Parsing :

Intelligence : Converts order text into structured line items and totals via Groq AI.
Integration : Uses an n8n workflow to process and structure raw order data.
Optimization : Generates personalized suggestion text alongside formatted bill data.

Thermal Printing and Auto-Detection :

Connectivity : Scans the local subnet to automatically find ESC/POS WiFi printers.
Architecture : Native app uses direct TCP; web app routes via a Node.js bridge server.
Efficiency : Eliminates manual IP entry for a “plug-and-play” printing experience.

Real-Time Receipt and Logging :

UI/UX : Attractive digital receipt popup with itemized quantities and AI suggestions.
Automation : Every processed order is automatically appended to Google Sheets via n8n.
Utility : Provides instant visual confirmation for users and a digital log for the kitchen.

Technical Infrastructure :

Handling : Safely processes direct JSON and wrapped/raw AI webhook responses.
Deployment : Hosted on Firebase using a clean path URL strategy for web access.
Reliability : Designed to handle complex data handoffs between the app, AI, and hardware.

Tech integrations

Third-party SDKs & libraries

11 core integrations powered

get

Core system integration

dio

HTTP client & interceptors

http

HTTP client & interceptors

speech to text

Core system integration

google fonts

Core system integration

qr_flutter

Core system integration

firebase_core

Core system integration

esc_pos_printer_plus

Core system integration

esc_pos_utils_plus

Core system integration

cupertino icons

Core system integration

jni, jni flutter

Core system integration

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