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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Zionex provides the Dynamic Task Manager (DTM) as an add-on solution for the Aras Innovator PLM (Product Lifecycle Management) platform. As a partner of Aras Corporation, Zionex participated in the ACE2025 event held from March 31 to April 3, 2025, with a 4-person team including Executive Officer and DTM Business Manager, Mr. Ito at Zionex Japan.

The event took place at the Hilton Boston Park Plaza, under the theme “Connected Intelligence.”
This report shares Mr. Ito’s impressions and findings from the event.

Objectives of Zionex’s Participation in ACE2025:

1. To understand the future direction and initiatives of Aras Corporation.
2. To exchange insights with Japanese customers and partners overseas.
3. To technically validate the compatibility of DTM with Aras Innovator SaaS as an ISV Partner.
4. To explore business opportunities in the US and European markets.

Key Highlights:

Aras introduced the concept of “Aras InnovatorEdge”, aiming to provide APIs that allow external integration and extend the capabilities of its SaaS components, including the Product Data Platform, Application Library, and Low-Code Development suite.

The conventional method of customizing by modifying code trees and referencing physical files is being replaced by API-based data access. Zionex intends to continue monitoring the evolving specifications of Aras InnovatorEdge.

CEO and CTO Sessions:

In his keynote, Aras CEO Roque Martin emphasized the 25th anniversary of the Aras Community, highlighting the values of innovation, community, and connection. He reflected on the challenges of the Y2K era, the origin of the company’s name by founder Peter, and the technological evolution that parallels Aras’s own journey over the past 25 years.

CTO Rob McAveney, in his “What if” session, reviewed Aras’s technological development. Mr. Ito found the session nostalgic, noting how the rapid rise of AI within just 25 years underscores the accelerated pace of technological change.

Customer & Partner Engagement:

Zionex had the opportunity to meet both new and familiar Japanese customers and partners, engaging in valuable discussions and exchanging ideas. The feedback received will be reflected in future product improvements.

Technical Collaboration with Aras:

To ensure compatibility with Aras Innovator SaaS, DTM must support .NET 8 and run in Linux containers. Zionex had paused development for about a year due to various constraints, but used ACE2025 as an opportunity to resume technical discussions with Aras engineers.

Once the DTM application is ready, it will go through the CI/CD pipeline, undergo UAT and staging validation, and be prepared for deployment to the production environment. Zionex aims to make DTM available to users as soon as possible.

Zionex extends special thanks to John Sperling, Aihoa Borowicz, Benjamin Chaillon, Grant Killian, and the team at Aras Japan for their coordination and support.

Additional Activities:

• Zionex participated in the Aras DevOps training sessions, gaining a solid understanding of the development processes required for SaaS compatibility.
• During the “Aras in the Round” session on April 2, project management functionality emerged as a key discussion topic, which was of strong interest to Zionex.
• In Japan, Zionex is currently conducting a joint promotion campaign with Aras under the theme “Build with Aras.” Zionex was eager to gauge awareness of the company and the DTM product.
• During the reception, executives including Peter, Roque, Rob, and Leon shared positive recognition, stating, “We know Zionex and DTM!”—a response that further motivated Zionex to introduce DTM more actively and continue evolving its offerings through ongoing dialogue and feedback.

Final Thoughts:

Mr. Ito noted that the area within a 40-minute walk from the Hilton Hotel offered a peaceful and scenic atmosphere. He enjoyed invigorating morning jogs, watching lively dogs in the parks, and dining at excellent restaurants—allowing him to fully appreciate the calm charm of Boston. (MIT campus with the “Dome” is visible across the Charles River as shown in this photo.)

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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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Recap from NRF 2025: Retail’s Big Show

The NRF 2025: Retail’s Big Show took place from January 12-14, 2025, at the Jacob K. Javits Convention Center in New York City. This premier event attracted top industry leaders from across the retail sector, offering a platform for innovation, collaboration, and exploration of the latest trends shaping the future of commerce.

The event featured over 1,000 exhibitors and more than 100 sessions, providing attendees with opportunities to explore cutting-edge technologies, compare solutions, and build vital partnerships. Specialized pavilions like the NRF 2025 Innovators Showcase, Startup Hub, and Foodservice Innovation Zone offered immersive experiences into emerging technologies and innovative concepts transforming the retail landscape.

Keynote sessions included insights from prominent figures such as Tommy Hilfiger, who shared his experiences on brand evolution and storytelling, and Amazon Stores CEO, who discussed the potential of AI in spawning new retail formats. The event also highlighted the growing importance of AI in retail, with discussions on how companies like L’Oréal, Lowe’s, and Walmart are successfully integrating AI to enhance customer experiences and operational efficiency.

In addition to the sessions and exhibits, the Exhibitor Big Ideas sessions provided a platform for solution providers to demo their latest products and share insightful case studies, while the Foodservice Innovation Zone offered an interactive exploration of technologies transforming the customer foodservice experience.

Participating in NRF 2025 allowed us to engage with retailers, exchange ideas, and showcase how PlanNEL, our advanced supply chain planning solution, can transform supply chain management for e-commerce and retail businesses.

A Stunning Arrival in New York City

Arriving in New York for NRF 2025 was an experience in itself. Flying into Newark Airport, we were greeted with a breathtaking view of Manhattan’s iconic skyline as we made our way toward the Javits Center. The sight of towering skyscrapers across the Hudson River, including architectural marvels like the VIA 57 West pyramid-shaped building, set the stage for an exciting week ahead.

Engaging with Industry Leaders

Being part of NRF Big Show meant being surrounded by some of the biggest names in retail technology. We had the opportunity to connect with decision-makers from major brands, e-commerce companies, and logistics providers who are actively looking for scalable and intelligent supply chain solutions.

Highlights from the Event

1. The Grand Entrance – Energy and Innovation at Javits Center

The NRF Big Show kicked off with an electrifying atmosphere at the Javits Center, where thousands of attendees gathered to witness the latest innovations in retail technology. The expo hall was massive, with towering displays and interactive booths. The registration area was buzzing with energy as exhibitors and attendees checked in, preparing for three days of networking and learning.

2. Iconic Heinz Bottle at NRF

One of the fun and unexpected highlights at the show was the giant Heinz ketchup bottle display. This playful and eye-catching installation embodied the creative marketing approach that many brands brought to NRF this year.

3. NVIDIA – The Powerhouses of AI in Retail

At the heart of retail AI solutions, NVIDIA collaborated to showcase how AI is driving innovation in demand forecasting, fraud prevention, and personalized shopping experiences. These industry giants continue to shape the future of AI-powered retail automation.

4. AWS – Cloud-Powered Retail Transformation

AWS took center stage with its solutions for scalable retail infrastructure. They emphasized how businesses can leverage cloud-based analytics and machine learning to optimize customer journeys and improve supply chain efficiency.

Key Takeaways from NRF Big Show

1. Retailers Are Prioritizing AI and Automation
   • Many discussions revolved around how AI-powered solutions can enhance supply chain efficiency. Retailers are increasingly adopting predictive analytics and automation to optimize inventory levels and reduce operational costs.
2. Sustainability and Supply Chain Transparency Are Growing Concerns
   • Brands are focusing on sustainable logistics and ethical sourcing. Solutions like PlanNEL, which provide end-to-end visibility and optimize transportation routes, align well with these priorities.
3. Omnichannel Retail Demands More Agility
   • Retailers are struggling to balance demand across multiple channels. The ability to adapt to fluctuating demand in real-time is a must-have feature for modern supply chain platforms.

Challenges and Lessons Learned

Exhibiting at such a large-scale event also came with its own set of challenges. Standing out among hundreds of exhibitors required us to refine our messaging and ensure that our booth attracted the right audience. We learned the importance of concise storytelling, interactive demos, and having a strong follow-up strategy to convert leads into potential clients.

Additionally, logistics and setup were crucial elements. Having the right booth materials, promotional content, and demo equipment ready ahead of time made a significant difference in our ability to engage attendees effectively.

Exploring Times Square After the Show

After a long and productive day at the NRF Big Show, we ventured into Times Square, the heart of New York City’s dazzling nightlife. The bright lights, massive billboards, and the bustling energy of the area provided the perfect contrast to the structured environment of the exhibition hall.

Times Square’s Neon Glow

Stepping into Times Square, we were met with towering LED screens, flashing advertisements, and the unmistakable hum of the city that never sleeps. The vibrant red glow neon signs and the immersive digital ads reminded us of how retail and branding dominate even the streets of New York.

As we walked further, we encountered glowing digital displays stretching high above the streets. The sidewalks were filled with tourists, locals, and street performers, making the experience truly immersive.

Our final stop in Times Square was a spot where people gathered to take photos and enjoy the vibrant energy of the city. The mix of tourists, performers, and illuminated signs truly captured the essence of New York’s retail and entertainment power.

Looking Ahead

Our experience at NRF Big Show reinforced the growing demand for smarter, more efficient supply chain solutions. We left the event with valuable connections, insights, and a clearer understanding of market needs. As we move forward, we’re excited to continue refining PlanNEL and expanding our reach within the retail sector.

If you visited our booth or would like to learn more about how PlanNEL can transform your supply chain operations, feel free to reach out—we’d love to continue the conversation!

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We kicked off the new year with an amazing team gathering at Zionex, and the energy in the room was absolutely electric! Surrounded by this incredible group of colleagues, we celebrated our past achievements and set our sights on the exciting challenges and opportunities that lie ahead.

Here’s to pushing boundaries, embracing innovation, and achieving great milestones together in 2025. Let’s make this our best year yet!

#Zionex #TeamSpirit #NewYearKickoff #2025Goals #Innovation #CollaborationZionex 2025 Kickoff

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On November 29, 2024, Zionex met with the leadership team of Broadway Consulting Service to discuss a strategic partnership focused on expanding the Dynamic Task Manager (DTM) business in Taiwan and China. Since its founding in 2005, Broadway Consulting has become a leading provider of PLM solutions, serving customers across diverse industries such as electronics, machinery, and medical devices. With a strong presence in Taiwan and mainland China, Broadway’s expertise and established market reach make them an excellent partner for Zionex to introduce innovative project management solutions to the region.

During the meeting, the discussion highlighted key project management challenges faced by Broadway’s customers using widely adopted PLM systems. Feedback from users pointed to performance issues, limited functionality, and a complex interface. These systems often struggle with large-scale projects involving over 1,000 tasks or hundreds of new projects initiated each month, leading to performance degradation. Furthermore, the absence of essential features such as customizable project calendars and the ability to delegate sub-tasks diminishes their effectiveness in managing intricate workflows. Customers also reported the lack of intuitive interfaces and real-time dashboards, which hinder efficiency and user adoption.

In response to these issues, Zionex proposed its Dynamic Task Manager (DTM) as a tailored solution. DTM ensures high performance even for complex and large-scale projects, enabling seamless task execution. It offers advanced functionality, including customizable project calendars that allow teams to adapt schedules to their needs and robust task delegation features for more effective workflow management. With its user-friendly interface, DTM simplifies adoption and enhances usability. Additionally, its real-time dashboards provide actionable insights into project progress, resource allocation, and task completion, empowering decision-makers to optimize strategies effectively.

The potential partnership combines Broadway’s in-depth industry knowledge and extensive customer base with Zionex’s expertise in project management. Together, the two companies aim to enhance project management standards for PLM users in Taiwan and China, addressing existing gaps to improve productivity, efficiency, and competitiveness.

This collaboration presents a significant opportunity to bring innovative solutions to a growing market. Zionex and Broadway Consulting Service are committed to working together to elevate project management practices in the region, leveraging their complementary strengths to drive meaningful transformation and success for their customers.

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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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