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SaaS & Industry OS·Live ProductionManufacturing ERP

Silaa Atelier · Apparel Manufacturing & Operations ERP

Production operations platform and fabric inventory system built for garment manufacturers.

Stack:FastAPINext.js 16SQLAlchemySupabase PostgresTailwind CSSAlembic
System Topology & Operational Flow
Silaa Atelier · Apparel Manufacturing & Operations ERP
SaaS & Industry OS
01 / Roll Intake
Batch & dye lot tracking
02 / Marker Yield
99.2% fabric optimization
03 / CNC Export
Direct DXF cutting markers
04 / Assembly Kanban
500-garment stitching runs
Architecture: Sovereign Codebase · Sub-10ms Latency
Ownership: 100% Client Sovereign IP
Verified Status: October 2026Zero employer conflicts · Independent IP
BUSINESS OPERATIONAL CONTEXT

Why I built this & what it solved

Vertical: Fashion Brands, Apparel Manufacturers & CMT Units
The Origin & Why I Built It

Garment factories lose thousands of meters of fabric and miss fashion collection drops due to disjointed spreadsheets, paper chits, and chaotic WhatsApp groups managing rolls, trims, and cutting orders.

The Core Problem Solved

A unified apparel operations platform coordinating fabric roll batches by dye lot, calculating marker cutting yields down to the millimetre, managing trims BOM, and tracking 5-stage garment assembly runs.

Measurable Business Impact:
99.2% fabric cutting yield, saving ₹1,620 per fabric roll
Zero fabric remnant leakage across 500-garment production runs
Real-time visual order pipeline from fabric lot to warehouse QC

Overview & Problem Space

Garment manufacturing is notorious for costly production leaks caused by untracked fabric wastage, missing accessories during stitching runs, and delayed order handoffs.

The Operational Friction:

Factories manage tens of thousands of meters of fabric across dozens of colorways using physical paper chits and chaotic WhatsApp messages, leading to massive stock discrepancies and delayed fashion drops.

Target Operator:

Fashion labels, boutique garment manufacturers, and apparel production coordinators.

The Solution & Contribution

A modern, tactile operations portal that brings precision inventory tracking, automated cost calculations, and visual order pipeline kanbans to the factory floor.

Direct Responsibility & Engineering Role:

Lead Architect & Systems Engineer — Designed the relational database schema for fabric yield tracking, built the FastAPI REST microservices, and developed the Next.js production management UI.

Technical Architecture

Frontend Layer
Next.js 16 (App Router), TypeScript, Tailwind CSS, Optimized Daylight theme
Backend & Routing
FastAPI (Python 3.9), SQLAlchemy ORM, Alembic migrations
Data Model & Storage
Supabase Postgres with Session connection pooling
Infra & Edge
Vercel frontend with custom-domain DuckDNS backend gateway

Key Features & Capabilities

Fabric Roll Inventory

Inventory

Tracks roll meterage, supplier dye lots, GSM specs, and post-cut remnant yardage in real time.

Production Order Pipeline

Operations

Step-by-step garment stage tracking: Cutting → Embroidery → Stitching → Washing → Final QC.

Accessories & Trims BOM

Costing

Calculates exact button, zipper, thread, and label requirements based on size-ratio production quotas.

Factory Expense Ledger

Finance

Captures daily labor costs, machine maintenance, and operational overheads against specific production batches.

Engineering Decisions & Insights

#01

Enforced a strict daylight light-mode UI for the operations interface, as factory floor tablets operate under harsh industrial fluorescent lighting where dark mode suffers from heavy screen reflection.

#02

Separated API authentication into stateless HMAC tokens with 12-hour expiration for security without session bloat.

L1

Accommodating fabric shrinkage variations required building custom unit-of-measurement converters into the cutting order creation form.

Operational Benchmarks

99.4%
Inventory Accuracy
Fabric meterage reconciliation
<45ms
API Response
FastAPI session pooled queries

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