QualiScan

AI quality checks for overseas manufacturing shipments—in minutes.

Score: 7.9/10CanadaHard BuildReady to Spawn
Brand Colors

The Opportunity

Problem

Small-scale manufacturing entrepreneurs endure constant delays and poor quality control from overseas suppliers.

Solution

QualiScan lets users upload shipment photos for instant AI analysis of defects, dimensions, and compliance. Generate inspection reports and supplier scorecards to enforce quality standards. Small manufacturers reduce returns and delays with digital proof-of-quality.

Target Audience

Entrepreneurs in small-scale manufacturing

Differentiator

Mobile-first AI vision model trained specifically on small-batch manufacturing parts (not generic).

Brand Voice

friendly

Features

Photo Upload

must-have15h

Upload images/videos of shipments for analysis.

AI Defect Detection

must-have20h

Scan for scratches, wrong sizes, missing parts with confidence scores.

Inspection Reports

must-have12h

Auto-generate PDF reports with annotations and pass/fail.

Checklist Builder

must-have10h

Custom checklists for spec checks beyond AI.

Supplier Library

must-have10h

Track quality history per supplier.

Batch Analysis

nice-to-have12h

Analyze multiple photos at once.

Shareable Links

nice-to-have6h

Send reports to suppliers/clients.

Trend Analytics

nice-to-have10h

Charts of quality over time.

Total Build Time: 95 hours

Database Schema

users

ColumnTypeNullable
iduuidNo
emailtextNo
created_attimestampNo

Relationships:

  • one-to-many with inspections

inspections

ColumnTypeNullable
iduuidNo
user_iduuidNo
supplier_nametextNo
quality_scoreintYes
statustextNo

Relationships:

  • foreign key to users(id)
  • one-to-many with photos

checklists

ColumnTypeNullable
iduuidNo
user_iduuidNo
nametextNo
itemstextNo

Relationships:

  • foreign key to users(id)

API Endpoints

POST
/api/inspections

Create new inspection with uploads

🔒 Auth Required
GET
/api/inspections/:id/report

Get inspection report data

🔒 Auth Required
POST
/api/scan

Run AI analysis on uploaded images

🔒 Auth Required

Tech Stack

Frontend
Next.js 14 + Tailwind + shadcn/ui
Backend
Next.js API routes
Database
Supabase Postgres
Auth
Supabase Auth
Payments
Stripe
Hosting
Vercel
Additional Tools
Uploadthing (file uploads)Replicate (AI vision model)pdf-lib (reports)

Build Timeline

Week 1: Auth and uploads

25h
  • User auth
  • Photo upload
  • Basic UI

Week 2: AI integration

35h
  • AI scan endpoint
  • Results display

Week 3: Reports and checklists

30h
  • PDF generation
  • Checklist CRUD

Week 4: Dashboard and payments

25h
  • Inspection history
  • Stripe
  • Mobile optimize
Total Timeline: 4 weeks • 145 hours

Pricing Tiers

Free

$0/mo

No custom checklists

  • 10 scans/month
  • Basic reports

Pro

$15/mo
  • Unlimited scans
  • Custom checklists
  • Supplier tracking

Enterprise

$49/mo

API scans

  • All Pro
  • Team collab
  • White-label reports

Revenue Projections

MonthUsersConversionMRRARR
Month 1804%$48$576
Month 67007%$735$8,820

Unit Economics

$45
CAC
$420
LTV
6%
Churn
85%
Margin
LTV:CAC Ratio: 9.3xExcellent!

Landing Page Copy

Instant Quality Scans for Your Shipments

AI spots defects in photos—get reports that hold suppliers accountable.

Feature Highlights

AI defect detection
Custom checklists
Pro reports
Supplier scores

Social Proof (Placeholders)

"'Rejected bad batch instantly' - Tom, ProtoMfg"
"'Transformed my QC' - Jia, SmallFab"

First Three Customers

Demo tool on TikTok/YouTube shorts for manufacturing; email outreach to Shopify manufacturing stores; free scans for reviews in niche Facebook groups.

Launch Channels

Product Huntr/qualitycontrolr/manufacturingMakerlogYouTube manufacturing channels

SEO Keywords

manufacturing quality inspection appai defect detection manufacturingoverseas shipment quality checksmall batch qc tool

Competitive Analysis

Enterprise
Strength

Physical inspections

Weakness

Expensive, slow for small batches

Our Advantage

Self-serve AI for pennies

🏰 Moat Strategy

Dataset of user-submitted photos trains better AI over time.

⏰ Why Now?

AI vision tech maturity + rising defect rates from rushed overseas production.

Risks & Mitigation

technicalhigh severity

AI accuracy on diverse parts

Mitigation

Hybrid AI + manual checklists

financialmedium severity

AI API costs spike

Mitigation

Usage-based pricing tiers

Validation Roadmap

pre-build10 days

Test AI on 50 sample photos

Success: 85% accuracy

launch30 days

Get 200 scans in month 1

Success: 30% repeat users

Pivot Options

  • Pure checklist app sans AI
  • B2B white-label for factories

Quick Stats

Build Time
145h
Target MRR (6 mo)
$1,000
Market Size
$400.0M
Features
8
Database Tables
3
API Endpoints
3