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The starting point of a journey

Good clothes at affordable prices even in a changing future.

In the past, present, and future, clothes have always been our daily lives.

Our Purpose

We will use IT to optimize sourcing and production, shaping the future of apparel.

In the future, good clothes may no longer be as affordable as they are today.

The clothing industry's complex production structure faces limitations.

Property

The delicate nature of clothing challenges both standardization and automation.

Off-Shoring

The clothing industry relies on labor-intensive methods and low-cost production in developing countries.

Technology

Rapid advancements bring sewing robots closer, highlighting the need for future autonomous manufacturing.

Present

Complex Apparel supply chain

The clothing supply chain includes brands, traders, and factories, with intricate interconnections across departments, making communication difficult.

Problem

Future Challenges

The real challenge for the clothing supply chain begins now. Beyond rising labor and material costs, the industry faces growing uncertainties and a range of issues to address.

from. Chat GPT (2024.10)

1

Cost

Economical

2

Time

Physical

3

Human

Technical

1

Cost

Economical

2

Time

Physical

3

Human

Technical

About Solution hypothesis

Supply Price

Supply Price
Under $10

Selling Price

Selling Price
$49.99

Product Value

Product Value
Over $100

1

Cost problems

The core of the global clothing supply chain is creating quality products at low costs. This issue cannot be resolved solely through offshoring or the adoption of smart factories.

time problem

2

Time problems

Reducing inefficiencies is crucial for cost-effective production. Traditional ERP systems alone cannot fully address the complexities of the supply chain.

human problem

3

Human problems

We implement modular automation to handle specialized tasks and develop AI systems to manage external variables.

Solution

We address clothing industry challenges with IoT for real-time sewing monitoring and SaaS for end-to-end process integration.

PoC

In fact, our customers are innovatively in hence productivity.

Increased productivity

+23.5%

Performance in the fourth quarter of 2023

Data collection

+193 tb

Data from February to November 2023

SIJE makes to boost production efficiency and reduce costs.

Cost Save

Cost Save

Improved production efficiency Improved work efficiency

Reduce Processing costs

$1.50 >

$1.00

33.4%

Minimize Office staff

$3.00 >

$0.50

83.4%

Time Efficiency

Time Efficiency

  • Preparation and supplementation of work instructions
  • List of raw materials
  • Establishment of production schedule
  • Subcontract factory selection and ordering
  • Production support and shipment management, etc.
Shortened working hours

90%

Expert Replacement

Expert Replacement

  • Process design
  • Establish production plan
  • Proactive Problem Diagnosis
  • Real-time production monitoring
  • Cost comparison and BEP management, etc.
Increased industry specialization

X8

Mega Market

SIJE aims to be a platform integrating food, clothing, and shelter.

Annual production

+

120 billion

2022 Annual production
of 120 billion pieces

Turnover

+

$ 3 trillion

$2 trillion in annual
transactions by 2022

Number of workers

+

80 million

2022 Annual production
of 120 billion pieces

SOM

~ ₩ 600 B

SOM

Apparel manufacturing
IT software market

SAM

~ ₩ 14 T

SAM

Smart Solutions Market
for Garment Industry

~ ₩ 187.5 T

TAM

5% of the global
clothing market

Big Data

Big data drives digital transformation in the clothing industry

Fashion companies can simulate demand by location and SKU, enabling quick decisions and reducing inventory risks.

(Graph_Real-time textile fashion big data Trance analysis system)

Mission

The Destination

SIJE uses advanced IT to make apparel a key industry of the future.