- Production Speed: AI-powered planning quadrupled production speed for TKG Taekwang.
- Manual Workload Reduction: Cut manual workloads for planners in half.
- Market Growth: Global APS software market projected to reach $8.5 billion by 2025.
Experts would likely conclude that AI-driven planning solutions like MOZART 3.0 are revolutionizing the footwear industry, offering unprecedented efficiency and adaptability in a rapidly evolving supply chain landscape.
AI Laces Up: How VMS Tech Quadrupled Production Speed for a Footwear Giant
By Matthew Richardson
FAIRFAX, VA – July 07, 2026 – In a move that signals a significant technological shift for the global footwear industry, manufacturer TKG Taekwang has implemented an AI-powered planning solution that has quadrupled its production planning speed and cut manual workloads for planners in half. The deployment of MOZART 3.0, a sophisticated Advanced Planning and Scheduling (APS) platform from VMS Solutions, marks a critical step for the 50-year-old footwear titan in mastering the immense complexity of modern, make-to-order manufacturing.
This partnership addresses a challenge familiar to many legacy industries: how to adapt decades of operational expertise to the volatile, fast-paced demands of today’s digital-first supply chain. For TKG Taekwang, which produces high-value footwear for major global sports brands across a sprawling network of international factories, the answer lies in leveraging artificial intelligence to transform its core planning processes from a fragmented, manual ordeal into a centralized, agile, and intelligent operation.
The Strain of Siloed Systems
Before implementing the new system, TKG Taekwang grappled with the limitations of its legacy planning infrastructure. With production plans managed independently by individual subsidiaries, the company lacked a unified, real-time view of its global operations. This fragmented approach created significant inefficiencies in an industry where production orders are increasingly diverse and subject to rapid change.
The core problem was rigidity. Even a minor adjustment to a single production line—a common occurrence due to shifting customer orders or material availability—required a complete regeneration of the entire production plan. This process was not only time-consuming, resulting in lengthy planning cycles, but also demanded substantial manual intervention from planners who had to painstakingly incorporate detailed shop-floor conditions. Data regarding materials and resources was often scattered and isolated, hindering quick responses to unexpected changes.
These challenges are endemic to the global footwear supply chain, which often struggles with long lead times, unreliable deliveries, and inefficient inventory management. As a leading manufacturer, TKG Taekwang’s move to overhaul its planning system reflects a broader industry push toward greater forecasting accuracy, real-time visibility, and the adoption of advanced technologies to build more resilient and responsive operations.
A Quantum Leap in Planning with AI Precision
The adoption of MOZART 3.0 represents a fundamental shift in how TKG Taekwang manages its production. The solution’s primary innovation is its ability to centralize planning across all manufacturing sites and subsidiaries within a single, unified environment. This integration immediately breaks down the data silos that previously hampered efficiency.
Perhaps the most impactful feature is the introduction of selective replanning. Instead of overhauling the entire schedule, planners can now isolate and re-plan only the specific production lines affected by a change. This targeted approach is the engine behind the reported four-to-five-fold improvement in execution speed for major planning scenarios. By automating tasks that were once manual and enabling simultaneous planning for multiple subsidiaries, the solution has drastically reduced overall planning lead times.
“Improvements in planning speed and the introduction of selective replanning capabilities have enhanced overall production planning efficiency,” TKG Taekwang stated, also citing “greater flexibility in adjusting planning priorities and detailed conditions according to actual operating requirements” as a key benefit.
Under the hood, MOZART 3.0’s AI-powered optimization engine and interactive editing capabilities give planners the tools to manage the complex constraints of footwear manufacturing. Product classifications, production criteria, and mixed-product manufacturing rules, which were once complex to manage, are now handled more intuitively, reducing the burden of master data management. Planners can review system-generated plans on-screen and make real-time adjustments, blending automated intelligence with human expertise.
“This deployment demonstrates how global footwear manufacturers can improve operational flexibility by integrating planning across multiple manufacturing sites and selectively replanning only where necessary,” said a spokesperson for VMS Solutions. “Through MOZART 3.0, VMS Solutions will continue to help manufacturers streamline production planning processes and respond quickly to rapidly changing manufacturing environments.”
The Broader Ripple Effect: Reshaping an Industry
The VMS Solutions and TKG Taekwang partnership is more than just a single company’s success story; it serves as a powerful case study for the digital transformation sweeping through traditional manufacturing sectors. The global market for Advanced Planning and Scheduling software is projected to reach approximately $8.5 billion by 2025, driven by the urgent need for operational efficiency in the face of complex global supply chains. The integration of AI and machine learning is no longer a futuristic concept but a competitive necessity.
Industry analysis shows that nearly 70% of new APS deployments integrate artificial intelligence modules, with a majority using predictive scheduling algorithms and machine-learning-based demand forecasting. These technologies enable a critical shift from a reactive to a predictive operational posture. By analyzing vast datasets, AI can help companies anticipate disruptions, optimize resource allocation, and stress-test their supply chains using digital twin simulations before a crisis hits.
For an industry like footwear, which is navigating pressures from fast fashion, customization demands, and sustainability mandates, this level of agility is paramount. The ability to model “what-if” scenarios, adjust production in real-time, and maintain a resilient supply network provides a distinct competitive advantage. It allows manufacturers to not only survive disruptions but also to capitalize on new market opportunities with unprecedented speed.
Beyond the Assembly Line: A Strategic Imperative
Ultimately, TKG Taekwang’s adoption of MOZART 3.0 is a strategic business decision, not merely an IT upgrade. It’s an investment in adaptability. In today’s volatile global market, the ability to respond quickly to fluctuating demand and unforeseen events is a core component of a resilient business model. The enhanced flexibility provided by the new system positions the footwear giant to better navigate market shifts and strengthen its relationships with the major brands it serves.
By moving from rigid, spreadsheet-driven planning to a dynamic, AI-informed ecosystem, companies can achieve more than just cost savings and efficiency gains. They build the foundation for smarter strategic planning, from long-term capacity and capital decisions to supplier management and human resource allocation. The successful deployment at TKG Taekwang demonstrates that for established industries, embracing advanced AI is the definitive path toward securing a competitive edge in the 21st century.
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AI & Machine Learning
Artificial Intelligence
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