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// Case study 12 · Full Stack / Operations

WashIQ Customer Portal

Smart car wash management with ML and OCR.

Professional car wash management platform with a customer portal; Python ML models and OCR run inside a large full-stack system.

AI feature in productApplied ML + OCR
Visit website
https://wash-iq.com/auth/login
WashIQ Customer Portal live website

The problem

Car wash operators need real-time operations, customer management and vehicle recognition across locations.

The solution

A multi-surface platform (web, PWA, Flutter) with OCR and ML services for vehicle and operational intelligence.

How AI is used

OCR reads plates and documents; Python ML models support analytics within FastAPI and Go microservices.

// AI pipeline · live

How data flows through the model

01
Camera / upload
02
OCR
03
ML models
04
Real-time events
05
Portal dashboards

// AI capability profile

// Key features

  • Customer portal & PWA
  • OCR pipeline
  • Real-time WebSockets
  • Map-based locations

// Tech stack

Next.jsFastAPIGo microservicesFlutterPostgreSQLRedisClickHouseWebSocketsMapboxDockerKubernetesAWS S3
Details verified against the live website in November 2026.