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.
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.
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.
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 world imagines a smart factory wheresewers work in the best conditions.
The world imagines a smart factory where
sewers work in the best conditions.
The world imagines a smart factory wheresewers work in the best conditions.
The world imagines a smart factory where
sewers work in the best conditions.
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 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 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 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.
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.
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.
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.
*RPA: Robotic Process Automation
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
SIJE's Solutions
SIJE's Solutions
We have put all the processes from order planning to production
and shipment into a single solution.
We have put all the processes from order planning to production and shipment into a single solution.
SIJE's Solutions
We have put all the processes from order planning to production
and shipment into a single solution.
Company name
Sije
Customer Service
+82(0)2-1644-4386
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
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.