Solution

Information

Enterprise

Information

Solution

Enterprise

Solution

Information

Enterprise

Digital transformation
of the apparel supply chain

Digital transformation
of
the apparel supply chain

Sewing is difficult to standardize and standardize
due to the nature of the fabric.
However, prototyping predicts tomorrow's productivity
with AI technology
that controls the irregularities of sewing with big data.

Sewing is difficult to standardize and standardize
due to the nature of the fabric.
However, prototyping predicts tomorrow's productivity
with AI technology
that controls the irregularities of sewing with big data.

The collected data automatically calculates the target production q'ty and manufacturing cost that serves as the basis for sourcing and production, through the processes of refining, preprocessing, processing, and analysis.

Sewing is difficult to standardize and standardize
due to the nature of the fabric.
However, prototyping predicts tomorrow's productivity
with AI technology
that controls the irregularities of sewing with big data.

The world imagines a smart factory where
sewers work in the best conditions.

The collected data automatically calculates the target production q'ty and manufacturing cost that serves as the basis for sourcing and production, through the processes of refining, preprocessing, processing, and analysis.

The collected data automatically calculates the target production q'ty and manufacturing cost that serves as the basis for sourcing and production, through the processes of refining, preprocessing, processing, and analysis.

SIJE imagines the smart factory which labors work
in the most perfect condition.

  • The manufacturing IoT technology of the SIJE accurately collects production data through real-time comparison of vibration frequencies and electric consumption.

  • The collected data is immediately sent back to the field through refining, preprocessing, analysis, and processing.

  • The transmitted data is provided as real-time indicators to enable immediate problem solving through on-site monitoring.

  • The manufacturing IoT technology of the SIJE accurately collects production data through real-time comparison of vibration frequencies and electric consumption.

  • The collected data is immediately refined, pre-processed,
    analyzed, and sent back to the field.

  • The transmitted data is provided as real-time metrics to enable immediate issue resolution through on-site monitoring.

Time systematically measures the complex variables of the field and provides an innovative AI solution that automates all supply chain management tasks with RPA technology.

Our solution provides an innovative AI solution that systematically measures the complex variables of the field and automates all management tasks of the apparel supply chain with RPA technology.

Our solution provides an innovative AI solution that systematically measures the complex variables of the field and automates all management tasks of the apparel supply chain with RPA technology.

*RPA: Robotic Process Automation
Download the report of analysis

Company name

Sije

Customer Service

+82(0)2-1644-4386

E-mail

sije@sijecorp.com

Address

Main Office: 12, Gaetbeol-ro, Yeonsu-gu, Incheon, Republic of Korea
R&D Center: 14-6, Teheran-ro 78-gil, Gangnam-gu, Seoul, Republic of Korea

CEO: Shin In Jun Business Registration No: 444-88-02133

Copyright© 2024, Sije. All right reserved.

+82(0)2-1644-4386

sije@sijecorp.com

Main Office

12, Gaetbeol-ro, Yeonsu-gu, Incheon, Republic of Korea

R&D Center

14-6, Teheran-ro 78-gil, Gangnam-gu, Seoul, Republic of Korea

CEO : Shin In Jun

Business Registration No : 444-88-02133

Copyright © 2024, Sije. All rights reserved.

Company name

Sije

Customer Service

+82(0)2-1644-4386

E-mail

sije@sijecorp.com

Address

Main Office: 12, Gaetbeol-ro, Yeonsu-gu, Incheon, Republic of Korea
R&D Center: 14-6, Teheran-ro 78-gil, Gangnam-gu, Seoul, Republic of Korea

CEO: Shin In Jun Business Registration No: 444-88-02133

Copyright© 2024, Sije. All right reserved.