Accordingly, the audit report will also be posted on our website, so please refer to it.
You can download the audit report file by clicking the link below in this article.

1. Zionex Co., Ltd. 2025 Audit Report
2. Zionex Co., Ltd. 2025 Consolidated Audit Report

Thank you.

Zionex Management Support Team

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1. Type and number of shares to be sold : 6,000 common shares of Zionex Co., Ltd.
2. Stock Acquirer : Intervalue No. 6 Patent Technology Commercialization Investment Association
3. Purpose of financing : Acquisition and post-closing operation related to AI companies for the introduction of new technologies
   Purpose of raising funds
4. Face value per share : 5,000 won
5. Sale price per share : 100,000 won
6. Total sale amount : 600,000,000 won (600 million won)
7. Payment date of sale amount: April 21, 2026
8. Financial institution and place to be paid: Shinhan Bank Sangam-dong Financial Center
9. Counterparty to the transfer : In accordance with Article 335-3 of the Commercial Code, all of the above sold shares
   Intervalue No. 6 Patent Technology Commercialization Investment Association to acquire
   
   

March 27, 2026

CEO Ryu Dong-sik (Employee Strategy)

Zionex Co., Ltd. 9th Floor, R Tower, 396 World Cup Buk-ro, Mapo-gu, Seoul (Sangam-dong, Nuri Dream Square)

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On August 20, 2025, Zionex was invited to participate in the AI Café Tainan session, organized by the Institute for Information Industry (III) and the Artificial Intelligence Innovation Application Promotion Association (AIF). As a speaker and industry representative, we shared insights on the applications of AI in manufacturing and brand operations.

The topic of the presentation was “Breaking the Five Major Myths of AI in Enterprise Applications.” Through real-world case studies and interactive discussions, we guided attendees in overcoming common misconceptions and gaining a renewed understanding of the true value of AI in sales forecasting and operational improvement.

Five Major Myths and Case Studies Sharing

Myth 1: Is AI / ML Really Necessary?

This question doesn’t really have a single “standard” answer. Traditional statistical models are indeed useful — they rely on fixed formulas and trend extrapolations, which can provide good results under stable conditions. But the strength of machine learning models lies in their ability to continuously learn from data and dynamically adjust, especially when demand is complex and influenced by multiple factors.

A real-world example:
We worked with a globally renowned food company (its main products are tofu and related food items). Their demand patterns were highly complex — not only affected by seasonality and promotions, but also by health and dietary trends as well as channel strategies. In the past, relying only on historical data and simple statistical methods often led to overstocking or stockouts.

After introducing an AI-based forecasting model, the system was able to incorporate both internal sales records and external market factors, while selecting different models for different product lines. The results were significant: forecast accuracy improved, production plans became more closely aligned with actual demand, and inventory pressure was greatly reduced.

So, going back to the question: “If we only have historical data, do we still need machine learning?”

The answer is: it depends on the complexity of demand.

If the market is relatively stable with little variation, traditional methods are sufficient. But if demand fluctuates greatly and is influenced by many factors, that’s where AI / ML can truly demonstrate its value.

Myth 2: If AI Isn’t Accurate Enough, Is It Not Worth Using?

Let’s start with a sharp question:

“If AI’s accuracy is only 85% or 90%, and it can’t reach 95% or even 98%, does that mean it’s not worth using?”

This concern is actually quite common among enterprises.
But the truth is — no model can ever be 100% accurate, because demand itself is inherently uncertain.

The value of AI does not lie in delivering a perfect answer, but in providing early, directional signals.

For example:
If AI can improve forecast accuracy by just 10%, for a company managing thousands of SKUs across multiple channels, that difference could translate into tens of millions in business value.

That 10% improvement brings more than just a number — it enables:

• More precise inventory allocation
• Fewer stockouts and less waste
• More stable production planning

Myth 3: Can a Single Model Forecast All Products?

At the event, many attendees also asked: “Can we just use one model to forecast all of our products?”
This is a common expectation among enterprises, but in practice, it’s very difficult to achieve.

The reason is simple: different products have very different demand patterns.
Some products have high and stable sales, some fall into the low-frequency long-tail category, while others fluctuate wildly. If you force a single model to handle all products, the outcome is usually that some products forecast well, but others are completely off the mark.

Our approach is to first help clients classify their products.
For example, through ABC-XYZ analysis, we group products based on sales value, volatility, and data completeness:

• Some products are suitable for machine learning models.
• Some can be handled well enough with statistical methods.
• Others require customized forecasting strategies.

Next, we design a multi-model strategy, such as:

• Prophet: good for seasonal and elastic demand.
• Croston: effective for intermittent demand.
• XGBoost: well-suited for highly volatile, high-dimensional data.

The truly effective method is not “one model rules them all,” but dynamically selecting the best combination to match different product characteristics.

In addition, we emphasize hierarchical forecasting. This ensures that:

• Headquarters can view aggregate numbers,
• Marketing can focus on brands,
• Supply chain teams can look at SKUs,

all starting from the same forecasting logic.

This design guarantees that forecasts across levels do not contradict each other, and the final results can actually be collaboratively used, executed, and trusted in production and scheduling.

Myth 4: Once AI Software Is Implemented, Will Forecasts Run Automatically?

Many clients, when first introduced to the system, often ask: “Once the AI system goes live, does it run completely on its own without human intervention?”

Here’s how we usually respond, supported by actual practices:

• Step 1: The ML model generates an initial forecast (Baseline Forecast).
• Step 2: Different departments collaboratively adjust the forecast to ensure it aligns with real business situations.
• Step 3: We continuously monitor the gap between forecasts and actual outcomes, identify discrepancies, and refine the model through a PDCA cycle (Plan–Do–Check–Act).

AI is not a plug-and-play magic box. It creates value, but only when embedded into a company’s daily processes. Through ongoing collaboration and optimization, forecasts become increasingly accurate and practical, effectively supporting production, scheduling, and decision-making.

In short, AI is not a “set-it-and-forget-it” system — it is an intelligent tool that requires continuous engagement and adjustment in order to become a reliable foundation for business operations.

Myth 5: After Implementing AI Forecasting, Should We Only Focus on Accuracy?

Accuracy is certainly important — but the true value lies in improving resource allocation and operational outcomes.

Take a high-tech electronics company as an example:
Their product portfolio was very broad, ranging from high-frequency standard items to highly customized, long lead-time products.

In the past, they applied a single approach to all products, which often led to either material shortages or excessive inventory.

Zionex helped them by implementing product segmentation and differentiated forecasting strategies:

• Stable products: Used baseline forecasts combined with inventory stocking.
• Volatile products: Applied demand planning with rolling adjustment mechanisms.
• Long-tail or customized products: Relied entirely on orders, enabling rapid response through a make-to-order (MTO) strategy.

Results achieved:

• On-time delivery rate improved to 97%
• Unsellable inventory reduced to 3%
• Inventory turnover days improved by 45%
• Delivery lead time shortened by 65%

This proves that implementing AI forecasting isn’t just about chasing accuracy. The key is combining it with product characteristics and operational strategies so that AI can truly transform into tangible business value.

If you’d like to learn more, please fill out your contact information, and our team will reach out to you!

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ISO 27001 is an international standard jointly established by the International Organization for Standardization (ISO) and the International Electrotechnical Commission (IEC). It assesses a company’s ability to systematically protect and manage information assets. ISO 27017 provides security controls and implementation guidelines for cloud service providers, ensuring a safer cloud-based environment for both providers and users.

With these certifications, Zionex has demonstrated that its information security framework meets international standards. Notably, the cloud security of its SaaS-based SCM solution, PlanNEL, has been officially validated. This milestone strengthens Zionex’s global competitiveness.

PlanNEL is a SaaS solution that supports the entire SCM process, including demand planning, inventory planning, replenishment planning, and supply planning. Developed with AI/ML algorithms and statistical methodologies, it allows businesses to select and integrate the necessary modules based on their unique requirements. This flexibility enables quick deployment and easy expansion, helping companies establish a cost-effective supply chain management system.

By optimizing inventory, PlanNEL helps businesses reduce unnecessary costs and make data-driven decisions more quickly, enhancing operational agility. This allows companies to minimize repetitive tasks and focus on their core operations.

Zionex CEO Dongsik Yoo stated, “Achieving these certifications is a significant milestone, proving that Zionex meets the highest security standards across all environments, including cloud services. Moving forward, we will continue to prioritize the security of our customers’ valuable information assets and build long-term trust.”

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– Ah Rae –

1. Date and time: Thursday, March 27, 2025 at 9:30 a.m.
2. Venue: Our conference room (9th floor, R Tower, 396 World Cup Buk-ro, Mapo-gu, Seoul (Sangam-dong, Nuri Dream Square))
3. Purpose of the meeting
   A) Reports: Sales reports, reports on appointment of outside directors
   B) Agenda item
   () Proposal No. 1: Approval of Financial Statements for the 26th Term (2024.01.01 ~ 2024.12.31)
   () Proposal No. 2: Appointment of Outside Directors
   () Proposal No. 3: Disposal of retained earnings (cash dividends)
   () Proposal No. 4: Partial Amendments and Additions to the Articles of Incorporation
   () Proposal No. 5: Establishment of Regulations on Prohibition of Retirement of Executives
4. Management Reference
   In accordance with the provisions of Article 542-4, Paragraph 3 of the Commercial Act, management reference information is provided at the head office, so please refer to it.
5. What to prepare when attending the general meeting of shareholders
   A) Direct Event: ID Card
   B) Proxy event: Power of attorney (personal information of shareholders and representatives, seal stamp), ID card of the representative
6. Other
   Souvenirs of the general meeting of shareholders are not given to reduce company expenses.

March 10, 2025
Zionex Corporation
CEO Ryu Dong-sik (Employee Strategy)

Appendix – Amendments and Additions to the Articles of Incorporation (Describing only each clause of the Articles of Incorporation)

Article 5 Total number of shares to be issued by the company, Article 6 Amount of one share, Article 8 Types of shares, Article 9 Warrants
Article 10 Stock Purchase Option, Article 11 Date of Calculation of Dividends of New Shares, Article 12 Agent of Name
Article 13 Closure of the Register of Shareholders and Record Date, Article 14 Issuance of Convertible Bonds
Article 15 Issuance of warrants, Article 16 Convocation, Article 17 Notice of Convocation, Article 18 Chairman
Article 20 The Chairman’s Right to Maintain Order, etc., Article 21 Resolutions, Article 22 Voting Rights, etc., and Article 23 Non-Unified Exercise of Voting Rights
Article 24 Restriction of Voting Rights on Reciprocity, Article 25 Minutes of the General Meeting, Article 26 Number of Directors,
Article 27 Appointment of Directors, Article 28 Term of Directors, Article 29 Duties of Directors, Article 30 Duties of Directors
Article 31 Remuneration of Directors, Article 32 Severance Pay, Article 33 Composition and Convocation of the Board of Directors
Article 35 Minutes of the Board of Directors, Article 36 Appointment of the CEO, Article 37 Duties of the CEO, Article 38 Number of Auditors
Article 39 Appointment of Auditors, Article 40 Term and By-election of Auditors, Article 41 Duties of Auditors, etc.
Article 42 Audit Remuneration and Severance Pay, Article 43 Business Year, Article 44 Preparation of Financial Statements, etc.
Article 45 Disposal of Retained Earnings, Article 46 Profit Distribution, Article 47 Matters Other than those Stipulated

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Unlock the Power of Supply Chain Management with Zionex

Join Zionex for an exclusive, hands-on workshop to explore the cutting-edge capabilities of our PlanNEL supply chain management system. This immersive session will offer you practical insights into sales forecasting, procurement, and inventory management. Discover how PlanNEL enhances demand forecasting accuracy, shortens planning cycles, and optimizes inventory costs. Whether you’re new to supply chain management or an experienced professional, this event is your opportunity to learn, grow, and connect with industry experts.

What to Expect:

• Harness the power of PlanNEL to seamlessly analyze historical data, external influences, and statistical models—all within a single platform.
• Learn how intelligent systems can significantly reduce decision-making time and improve forecast precision.
• Explore inventory optimization techniques designed to maximize resource efficiency and minimize costs for your organization.

Don’t miss this opportunity to elevate your supply chain operations and stay ahead in today’s dynamic market.

Who Should Attend:

• Supply chain management professionals, demand forecasters, and sales data analysts
• Corporate leaders and decision-makers looking to enhance forecasting accuracy, streamline planning, and optimize inventory management
• Professionals eager to experience how AI/ML can boost supply chain efficiency
• Practitioners interested in exchanging ideas and best practices with fellow experts in data analysis

Event Details:

• Date: December 6, 2024, 14:00-17:00
• Location: 5th Floor, No. 285, Section 4, Zhongxiao East Road, Daan District, Taipei (Pacific Commercial Building – Conference Room B)
• Host: Zionex Taiwan (台灣耐力斯股份有限公司)
• Registration Fee: Free (Max 2 attendees per company)
• Refreshments Provided

Agenda:

• 14:00-14:15: Participant Sign-in
• 14:15-14:45: Company Overview & Success Stories
• 14:45-15:30: System Demonstration
• 15:30-15:45: Break
• 15:45-16:50: Hands-on Experience
• 16:50-17:00: Q&A

Note: The organizer reserves the right to modify the agenda.

Contact:
Ms. Vickey Chen | +886 930-090-118 | vickeychen@zionex.com

Register Now: https://forms.gle/yjkHE4RXa7sqM3vr7

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We hereby announce that at the board meeting of Zionex, Inc. held on April 30, 2024, it was resolved to issue new shares through a third-party allocation method as described below.

1. Type and number of new shares: Convertible preferred shares with redemption rights, 37,100 shares
2. Purpose of fundraising: Research and development and operational funds
3. Face value per new share: KRW 5,000
4. Issue price per new share: KRW 94,286
5. Payment date for new shares: May 16, 2024
6. Method of allocating new shares: Based on Article 418 of the Commercial Act and Article 9, Section 2, Paragraph 1 of the company’s articles of association, all new shares are to be allocated and subscribed to by a third party.

April 30 , 2024​​​

Dongsik Yoo, CEO
( official seal omitted )

Zionex, Inc.

R&D Tower, Unit 908, 396 World Cup Buk-ro (Sangam-dong, Nuritkum Square), Mapo-gu, Seoul, Korea 03925

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Since our inception, Zionex has been devoted to pushing the boundaries of technological advancements. This project for L-Corporation signifies yet another milestone in our dedication to delivering high-quality manufacturing planning and scheduling solutions.

Project Highlights:

Real-Time Scheduling: The RTS system provides real-time scheduling insights into manufacturing processes, enabling agile decision-making to adapt swiftly to changing demands.
The APS component of the project optimizes production scheduling in sub-daily periods, ensuring a harmonious balance between resource utilization and output efficiency.

Zionex takes pride in playing a pivotal role in L-Corporation global strategy by successfully implementing the APS/RTS system in Eastern Europe. This achievement not only enhances operational efficiency at the manufacturing plant but also sets the stage for the implementation of similar systems across L-Corporation’s Lithium-Ion battery manufacturing plants worldwide.

We extend our heartfelt appreciation to the dedicated teams at Zionex and L-Corporations for their collaborative efforts in making this project a success.

As we celebrate this milestone, Zionex eagerly anticipates sharing further updates on the positive impacts of APS / RTS implementations and other innovations shaping the future of energy solutions. Thank you for being part of this exciting journey.

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Zionex, a leading provider of innovative software solutions, is pleased to announce the successful completion of the supply chain planning implementation at GC Biopharma using their state-of-the-art software platform, T³SmartSCM. GC Pharma, a leading biopharmaceutical company headquartered in Yongin, South Korea, specializing in vaccines, protein therapies, and therapeutic antibodies for oncology and infectious diseases, has now harnessed the power of T³SmartSCM to optimize their supply chain operations and drive efficiency.

With T³SmartSCM, GC Pharma gains access to a comprehensive suite of advanced planning capabilities, enabling them to streamline their supply chain processes, enhance forecasting accuracy, and efficiently meet the dynamic demands of their industry. By leveraging the robust features of Zionex’s supply chain planning software, GC Pharma can now ensure optimal inventory levels, minimize production lead times, and make informed decisions to maximize their operational performance.

“We are thrilled to have successfully implemented T³SmartSCM at GC Biopharma,” said Dr. Dongsik Yoo, CEO at Zionex. “The collaboration with GC Biopharma has been exceptional, and we are proud to have delivered a solution that aligns perfectly with their complex supply chain needs. Our goal is to empower organizations like GC Biopharma with cutting-edge technology, enabling them to drive efficiency, improve customer satisfaction, and stay ahead in a highly competitive industry.”

GC Biopharma, with its unwavering commitment to delivering innovative solutions in biopharmaceuticals, recognized the importance of leveraging advanced supply chain planning tools to optimize their operations. The successful implementation of T³SmartSCM marks a significant milestone for GC Biopharma, enhancing their ability to streamline processes, improve resource allocation, and respond effectively to market demands.

About Zionex:
Zionex is a leading provider of software solutions specializing in supply chain planning, project management, and product lifecycle management. With a commitment to innovation and customer satisfaction, Zionex delivers cutting-edge software platforms that empower organizations across industries to optimize their operations, drive growth, and achieve strategic objectives.

For more information about Zionex and their range of software solutions, please visit https://zionex.com.

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台灣耐力斯資訊有限公司
Zionex Taiwan Ltd. Co.
5th Floor, No 285,  ZhongXiao E. Road
Section 4, Da’an District
Taipei City, 106
Taiwan

106 台北市大安區忠孝東路四段285號5樓
TEL: +886-2-6639 8451    Fax: +886-2-6639 8006

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