Production Grade AI

The AI Beauty Co-Pilot

A unified "Silent Expert" system acting as a Co-Pilot for Beauty Advisors. We combined computer vision for skin analysis with conversational guidance to reduce purchase time by 50%.

Jakarta, Indonesia Retail Beauty 4 Month Delivery

Checkout Speed

50%

Drastic reduction in operational friction during peak hours.

The Challenge

In-store consultations relied heavily on individual Beauty Advisor (BA) memory. Knowledge depth varied wildly between staff. Furthermore, the checkout process was disjointed—BAs had to manually generate QR codes and walk customers to a cashier, breaking the "intimate brand moment" and causing long queues.

  • Inconsistent product recommendations across stores.
  • Manual checkout friction reducing conversion.
  • No data captured from offline consultations.

The AIQU Systems Solution

We built an AI Co-Pilot tailored for tablets and kiosks. It uses computer vision to analyze skin conditions instantly and feeds that data into a conversational engine (in Bahasa Indonesia) to recommend the perfect regimen. Crucially, it integrates directly with the POS for a one-tap QR checkout.

  • Standardized "Expert" knowledge for every BA.
  • Frictionless purchase flow (Consultation → Cart).
  • First-party data capture for CRM enrichment.

System Architecture

Input

Tablet Camera / Kiosk

AI Logic Core

  • CV Skin Analysis
  • Rec. Engine
  • Inventory Check

BA UI

React / Flutter App

POS Sync

QR Payment Trigger

Technology Stack

Computer Vision OpenCV, MediaPipe, TF Lite
AI Backend Python, FastAPI, PyTorch
Frontend UI React Native / Flutter
Infrastructure AWS / Google Cloud (Edge)

Business Impact

50% Faster Checkout
Conversion Rate
100% Data Capture
High NPS / Satisfaction

Delivery Roadmap

Phase 1
Discovery & Co-Design
4-6 Weeks
Phase 2
Prototype & PoC
4-8 Weeks
Phase 3
Pilot & Iteration
8-12 Weeks
Phase 4
Scale-Ready Build
Deployment