IoT Smart Factory Platform

Garment Manufacturing × IoT × AI

From raw material to finished garment — every stitch, every second, every line monitored in real-time. Zero-Install IoT. Vision AI. Cloud MES.

0
IoT Devices
0
Data Accuracy
0
Units / Day
Explore Platform
service.seamstream.net/monitor
Production Status Monitor
Style Management
Production Report
1,700+ IoT DEVICES 99.9% ACCURACY 17,293 UNITS/DAY 1,193,202 GARMENTS TRACKED PO AUTO-PARSE PACKING LIST AI ZERO MANUAL ENTRY 7.5 MIN SETUP/LINE 72 DAY BATTERY 20 PRODUCTION LINES 1,700+ IoT DEVICES 99.9% ACCURACY 17,293 UNITS/DAY 1,193,202 GARMENTS TRACKED PO AUTO-PARSE PACKING LIST AI ZERO MANUAL ENTRY 7.5 MIN SETUP/LINE 72 DAY BATTERY 20 PRODUCTION LINES
data_pipeline

Four Modules. One Flow.

Raw material in. Finished garment out. Every data point connected — no manual entry, no gaps, no blind spots in the supply chain.

01

SeamSource

PO document parsing — upload buyer PO PDF or Excel, fields auto-extracted instantly. Material sourcing, supplier management. Zero manual entry.

Sourcing + PO Parse
02

SeamStock

Packing list auto-parsing — photograph or upload, Vision AI reads every line. QR scan, auto-match, real-time warehouse registration. No typing required.

WMS + Doc AI
03

SeamCut

Digital cutting management. Fabric input, pattern layout, bundle QR, loss-rate tracking.

Cutting
04

SeamLine

IoT MES. Per-second production data. Line dashboards. Bottleneck detection. QC image sharing.

MES IoT
DRAG TO EXPLORE
$ seamstream deploy --factory brebes-b --lines 20
Provisioning TAP Lite devices...
[OK] 140 TAP devices registered (7/line × 20 lines)
[OK] Local Server synced — edge relay active
[OK] Vision AI loaded on LTE warehouse terminal
[OK] Pipeline: SeamSource → SeamStock → SeamCut → SeamLine
>>> Factory ONLINE — all systems nominal
Deploy time: 7.5 min/line · Total 20 lines: 2h 30m
live_platform

See the Real Platform.

Not mockups. This is the actual system running in production across Indonesian garment factories.

service.seamstream.net/home
SeamStream Platform

Style Management

342 active styles across 5 buyers. Track PO status, CBD, MCL, invoicing — all in one view.

realtime_monitor

Live Production Intelligence.

Every line, every operator, every second. SeamLine transforms IoT data into actionable intelligence — in real time.

SEAMLINE MIP // FACTORY BREBES BLDG-B // 20 LINES
LIVE
TOTAL OUTPUT
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EFFICIENCY
0%
TARGET 85%
DEFECT RATE
0%
BELOW THRESHOLD
UPTIME
0%
SLA 99.5%
ACTIVE LINES
0/20
ALL ONLINE

Line Output — Today (Units Per Line)

Hourly Trend
Top Styles
Live Feed
ai_engine

The Engine That Learns Your Factory.

From raw document to real-time alert — every step automated. No black box. You always know why.

01
Collect
IoT sensors stream per-second data from every workstation. PO & packing list docs parsed automatically.
IoT + Doc AI
02
Classify
Learning curve type assigned per style-line pair. Day-of-week coefficients applied to every target.
ML Classifier
03
Predict
Daily output forecasted from Day 1. Material deadlines back-calculated. Stock gaps surfaced before they happen.
Forecasting
04
Alert
Line drops below 70% baseline for 30 min → instant Telegram alert. Ask anything in plain language via MCP.
Real-time
Live Analysis Demo — click to run
seamstream-ai · brebes-b · 20 lines
$ seamstream analyze --factory brebes-b
1.8×
Line Output Variance
Same style · different line · measured
4
Learning Curve Types
Instant / Short / Mid / Long-term
70%
Anomaly Threshold
Below baseline → 30min → alert
5
MCP Query Tools
Ask in plain language · get data
market_position

Built for the Gap Nobody Filled.

IoT hardware + full-stack software at the price point that makes sense for real factories.

Competitor A
IoT Hardware MES
Competitor B
Global SW Platform
SeamStream
Initial CapEx $200K – $400K $50K – $400K ~$40K
Annual SaaS On-premise Undisclosed Contact us
3-Year TCO $500K+ $200K – $300K ~$166K
HW + SW HW only SW only Full-stack IoT
Deployment 3 – 6 months 2 – 4 months 1 – 2 weeks
Production Downtime Required Required Zero-Install
Data Pipeline MES only Siloed modules WMS→Cut→MES auto
AI Analysis None Planning only IoT-data AI
1/3
the TCO of Competitor A
~$166K vs $500K+ over 3 years
10×
Faster Deployment
1–2 weeks vs 3–6 months
Zero
Installation Downtime
Production never stops during setup
roi_analysis

See Data in 2 Weeks. Payback in Months.

Numbers That Speak for Themselves. Based on 1 building, 20 lines, 17,000 garments/day. Initial investment: ~$40,000.

12-Month Net Return
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First Year ROI
Average ramp speed model
24-Month Net Return
0
Year 2 Cumulative
Compounding efficiency gains
48-Month Net Return
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Year 4 Cumulative
Full adoption model
Month 1
Data flowing. All 20 lines online. ROI analysis begins automatically.
Month 2+
Operating surplus begins. Efficiency improvements tracked per line.
Month 6
50% efficiency improvement target reached (logistic S-curve, average adoption).
Month 24
$1.5M cumulative net return. AI learning continues improving predictions.
Month 48
$3.5M cumulative. Cross-factory learning active. Full AI maturity.
Based on: 20 production lines · 17,000 pcs/day · 21 operating days/month · logistic (S-curve) efficiency adoption model. Actual results may vary by factory configuration and operator adoption rate.
iot_hardware

Place. Don't Install.

No wiring. No machine teardown. No production stop. Place the TAP Lite — data starts flowing instantly. Battery-powered, Zero-Install.

DEVICE_01

TAP Lite

QR-specialized IoT tracker. Place on any workstation — per-second data to cloud via BLE mesh. No wiring, no downtime, 72-day battery life.

BLE 5.4
Connect
72 days
Battery
7.5 min
Setup
QR+LCD
Interface
7/line
Density
10Ah
Capacity
DEVICE_02

Local Server

On-site edge relay. Caches all TAP data, syncs to cloud. Zero data loss even during internet outages. One unit per building.

WiFi+BLE
Connect
Offline
Resilience
Auto
Sync
1/Bldg
Deploy
Cache
Buffer
MQTT
Protocol
proven_results

Numbers That Matter.

0
Factory Deployment
20 lines, zero downtime
0
Per-Line Setup
No wiring, no teardown
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Lower TCO
vs traditional MES
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Line Output Variance
Same style, measured across lines
compliance

Future-Proof Compliance.

Global regulations are tightening. SeamStream's full traceability pipeline makes compliance automatic, not manual.

EU_DPP

Digital Product Passport

Effective 2027

Full material origin traceability. Every process digitally documented from yarn to finished garment.

EU_CSRD

Sustainability Reporting

In Progress

Standardized production metrics. Automatic data collection prevents manual reporting bias.

US_BUYER

Buyer Requirements

Active

Top global apparel buyers — direct data submission ready from the SeamStream dashboard.

get_started

Start with 2 Weeks. Data First.

7-line PoC. No lock-in. See the data, then decide.

Location
Treasury Tower 25F, Jakarta
Phone
+62 811 118 9328
Email
support@seamstream.net
Platform
service.seamstream.net