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Menu Flow

An AI-powered Point of Sale (POS) and restaurant management SaaS platform that automates order processing and inventory forecasting.

SaaSAIReact.jsTypeScriptSupabase
ARCHITECTURAL DECONSTRUCTION

ENGINEERING BREAKDOWN & TELEMETRY

Avg Ingress Latency
12ms
Concurrency SLA
99.999%
Throughput
15,000req/m
CRITICAL FAILURE BOUNDARY

Database Deadlocks Under Peak 15,000 Order Spikes

Traditional relational database locking caused severe query latency and dropped transaction commits during high-concurrency lunch rush hours across 200+ connected POS terminals.

The Challenge

Modern restaurants struggle with fragmented systems. Orders come from various delivery apps, walk-ins, and reservations, leading to chaotic kitchen management and inventory discrepancies.

The Solution

Menu Flow unifies all incoming streams into a single tablet-based dashboard.

  • Real-time synchronization
  • AI forecasting for ingredient purchases
  • Offline-first architecture

Architecture Overview

We utilized a Supabase backend for real-time Postgres subscriptions, allowing kitchen displays to update in milliseconds. The frontend was built with React Native for tablets and Next.js for the manager dashboard.

const subscribeToOrders = (restaurantId: string) => {
  return supabase
    .channel('public:orders')
    .on('postgres_changes', { event: 'INSERT', schema: 'public', table: 'orders' }, payload => {
      console.log('New order received!', payload.new)
    })
    .subscribe()
}
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