Doosoun ERP 10
It is a cloud-based, customized solution that integrates and manages the entire process from production, inventory, logistics and sales in the fashion industry.
It is a specialized system for clothing, miscellaneous goods and accessories brands that tracks and optimizes every step of the complex fashion business in real time, from fabric procurement to store management.
Experience inventory cost reduction and sales increase with a system optimized for seasonal collection management, rapid trend response, and small-scale production of various varieties.
Developed with more than 20 years of experience in the fashion industry, more than 300 fashion companies at home and abroad have already selected it.
What is Doosoun ERP 10 ?
A fashion-specific system
Unlike regular ERP, it is a customized management system that reflects the unique characteristics of the fashion industry, including clothing product planning, design, material characteristics, size system, color management, and season division.
It integrates trend prediction and seasonal sales analysis.
Full Business Process
Track and optimize the entire fashion business in real time, from fabric sourcing to design planning, production management, logistics, store inventory, and online sales.
Completely manage product history with QR code and RFID technology.
Integrated Data Intelligence
It supports real-time decision-making by integrating distributed sales, production, and inventory data based on the cloud.
AI-based demand forecasting prevents overproduction, analyzes seasonal sales patterns, and utilizes them in marketing strategies.
Background and Need for Deployment
43 trillion won
Market size
The size of the domestic fashion market in 2023 grew 7.2% year-on-year, and the proportion of online was 53%
64%
Demands for Digitization
Among large fashion companies, 41% of SMEs recognize the need for digital transformation
30%
Improve efficiency
Introducing fashion-specific ERP improves inventory turnover by 15% and reduces working hours by 30%
Due to the complex nature of the fashion industry, fashion-specific systems are more essential than regular ERPs, and real-time data management to respond to fast-changing seasons is key to competitiveness.
Key Features Overview
Product Development Management
By smoothly linking with the PLM system, the average development period can be shortened by 30% from design sketches to sample production and final production.
Integrated management of production and raw materials
It tracks more than 1,000 fabric and subsidiary items based on RFID and monitors production factory processes in more than five countries in real time.
Automate inventory and orders
AI-based prediction algorithms enable real-time inventory verification with 99.5% accuracy and an automatic ordering system to reduce inventory maintenance costs by 25%.
Integrated Sales Analysis
Integrated analysis of 800 offline stores and 6 online platform sales data helps establish marketing strategies by season, region, and customer base.
Considerations for ERP System Deployment
Optimized UI/UX
Intuitive design for fashion professionals and mobile interworking make it easy for store employees to check inventory and process orders
Unlike regular ERP systems, these specialized features are designed to reflect the specificity of the fashion industry to respond agilely to seasonal changes and trends.
Cloud-based accessibility
Data access is available 24 hours a day, and real-time information sharing between stores, factories, and headquarters improves decision-making speed
A fashion-only feature
Embrace changes in corporate culture and processes
Operating structure and user interface
Intuitive dashboard-oriented design allows you to grasp key indicators of the fashion business at a glance, such as sales performance, inventory turnover, and seasonal performance.
Users can selectively place only the information they need, enabling customized screen composition by brand and product group.
Through mobile interworking, real-time data access and decision-making are supported in stores and logistics sites.
Implementation Effectiveness and Performance Indicators
Within six months of the introduction of the fashion ERP system, the following concrete achievements were achieved.
In particular, the 40% improvement in inventory turnover is significantly above the industry average (15%).
The 25% reduction in operating costs resulted in an annual savings of approximately KRW 300 million, and the lead time from production to store warehousing was reduced by 30% from an average of 12 days to 8.4 days.
In addition, the 35% improvement in manpower efficiency allows more work to be done with the same workforce.
Actual application case: A Clothing Co., Ltd
A pre-introduction problem
Distributed inventory data from 500 stores nationwide causes 30% overstock.
Error rate by size due to manual production order 45% Stalled sales growth of seasonal products due to decreased inventory turnover.
Introduction performance
Reduce production order errors by 90% and reduce annual costs by KRW 250 million.
Improvement of manpower efficiency by 35% by optimizing store inventory.
The annual sales growth of 15% was achieved due to the improvement of season-by-season product turnover.
Apply the solution
Establishment of a cloud-based real-time inventory automation system for each store.
Redesigning a production order system based on AI demand forecasting. Introducing a real-time analysis dashboard of sales trends by store.
Practical Case: B Fashion Material Co., Ltd
A problem situation
1.5 monthly inventory turnover, below industry average.
Labor costs of 48 million won per year due to eight-hour manual due diligence twice a week.
Average 48 hours delay due to manual shipment processing.
System introduction
Establishment of RFID-based smart inventory automation system (3 months).
Introduction of a real-time live-action system linked to a mobile barcode scanner.
Application of AI-based demand forecast ordering algorithm (92% accuracy).
Improvement effect
Inventory turnover increased 2.1 times to 3.2 times per month.
Reduce labor costs by 38.4 million won per year by reducing inventory due diligence time by 90%.
Reduce time to 6 hours (down 87.5% from the previous one).
Practical Case: B Fashion Material Co., Ltd
Closed Architecture
On-premises centralized, limited cloud
Paid (KRW 150,000 per hour)
Unsupported (requires external solutions)
90% weekly validation
Competitor B
Limited API (paid)
Public Cloud Only
3 months free of charge (three training sessions)
Default BOM, Manual Management
85% daily batch verification
Competitor A
100% API open, partner ecosystem
Full Hybrid/Public/Private Support
1 year free consulting + 12 training sessions
3D pattern linkage, AI fabric prediction
98.5% Live Verification
Company ERP
System scalability
Cloud Support
Initial Additional Services
Pattern/Fabric BOM Management
Data Consistency
Comparison item
Target customers and deployment conditions
A fashion retail company
A company that operates more than 10 stores nationwide
Annual sales of more than 5 billion, more than 20 employees
Need POS linkage and real-time inventory management
A clothing manufacturer
More than 3,000 pcs of production per month
Having two or more domestic and foreign production lines
Material Requirement Planning (MRP) Advancement Required
Online and offline integrated company
Own online mall and offline store operation
Companies that process more than 10,000 orders per year
Need integrated inventory and sales analysis by channel
A material distributor
More than 200 types of
fabric/subsidiary materials
management companies
Having more than 50 clients per month on average
Need LOT tracking and quality control automation
Deployment and Transition Support Services
Operational Support (12 months)
Special support team for the transition period of fashion season. On-site visit once a week for the first three months and regular check once a month thereafter. Real-time technical support on KakaoTalk/wired, and quarterly performance reports are provided.
User training (2 weeks)
Practical training by department - Production team (2 days), sales team (2 days), design team (1 day), logistics team (2 days). Field simulation and actual data utilization training, managerial in-depth course separately operated.
Data Migration (3-4 weeks)
Conversion and cleansing of existing ERP/Excel data. Standardization of product code system, integration of customer/store information, transfer and verification of 5 years' worth of transaction details.
Initial consulting (2-3 weeks)
Analysis of fashion industry-specific business processes and mapping requirements. Seasonal production plan, store-specific inventory management, raw sub-material procurement workflow optimization design.
Kim Sung-min, Managing Director / C Fashion Production Headquarters
"Our company has reduced production order errors by 90% since the introduction of Fashion ERP, saving about W12 million per month. Real-time production status verification through mobile apps has reduced decision-making time by 65% on average, and automated defect rate tracking is a big help in quality control in particular."
Lee Ji-hyun, Team Leader / D Clothing Distribution Team
"Inventory turnover increased by 127% with integrated store and online inventory management. After the end of the season, carry-over merchandise decreased by 35% year-over-year, and daily inventory time was reduced from 3 hours to 30 minutes thanks to a QR code-based inventory management system. Customer order processing was also accelerated, increasing customer satisfaction from 4.2 points to 4.8 points."
CEO Park Jun-ho / E Design Studio
"Project completion time was reduced by an average of 18 days thanks to an integrated dashboard that provides a quick, at-a-glance view of everything from design to production. In particular, cloud-based design data sharing and seasonal collection management have greatly increased collaboration efficiency. In addition, our real-time integration system with our material suppliers reduced sample production time by half."
Customer reviews and reputations
Enquiries and Demo Application Guide
Demo Application Procedure
1. Complete form on the website (contactus)
2. Allocation and contact of professional consultants (within 12 working days)
3. Prepare customized system demos for your business model
4. Video conference or visit demo at desired date/time (60-90 minutes)
How to schedule a consultation
▪Phone: 1522-6957 (9:00-18:00 on weekdays)
▪Email: sales@doosoun-cni.com (24-hour reception)
▪Home page real-time chat consultation (AI chatbot and counselor connection)
Quotation and environmental diagnosis
▪Current system free diagnostics (56 item checklist)
▪Provide customized deployment quotes for each module
▪Establishes phased deployment roadmap for 3/6/12 months
▪Provides forecast ROI analysis report relative to industry average
Conclusions and Future Vision
Fashion industry standardization
By 2025, it has established itself as a standard ERP solution used by more than 60% of domestic fashion companies, leading the digital transformation across the industry.
Increase industrial competitiveness through customized packages that can be easily introduced by SMEs.
AI technology integration
Deep learning-based demand forecasting model achieves inventory management accuracy of more than 85% and builds a real-time trend detection system through social media data analysis. It supports the establishment of personalized marketing strategies through customer behavior pattern analysis.
Global Expansion
It will complete entry into Southeast Asian, European, and North American markets by 2026 and support more than 15 languages and 30 major countries' currencies.
It ensures smooth business operations for global fashion companies with a localization system that automatically responds to country-specific regulatory and tax policies.
With this vision, we will revolutionize all processes in the fashion business and help companies respond flexibly to the rapidly changing market environment.
