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Crossover Talks Bangkok: How Real-World AI Projects Deliver Measurable ROI for International Businesses

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Crossover Talks Bangkok: How Real-World AI Projects Deliver Measurable ROI for International Businesses

In recent years, artificial intelligence (AI) has dominated headlines, but the real question for most business leaders remains: “Can AI truly improve my bottom line—whether through revenue growth or cost reduction?”

Take Thailand’s manufacturing sector as an example. Recent surveys show that only 17% of companies have deployed AI projects that directly improve performance. The majority are still in the planning stage, while some have yet to begin. This situation is strikingly similar to Taiwan—where most executives agree that AI is important, but face the same challenges: identifying the right use cases, proving ROI, and lacking the internal talent to lead adoption.

The Winning Formula: People × Business × Technology

At a recent AI applications seminar in Bangkok, Profet AI and HexaTech Solutions emphasized a clear message: successful AI adoption is not just about technology—it’s about combining domain expertise, organizational readiness, and the right AI tools.

Profet AI is Asia’s leading no-code AutoML platform for manufacturers, with 300+ enterprise clients across 20 industries, including over half of Nvidia’s manufacturing partners in Asia. Its greatest advantage is enabling non-IT professionals—such as production engineers—to build AI models in just 3 hours, often achieving measurable ROI within 90 days.

In our panel discussion, two international companies shared how AI adoption has proven to bring real results to their organization:

Case Study 1: Minth Group — Reducing High Defect Rates with AI

Minth Group, a global automotive parts supplier, faced a serious quality challenge. Defect rates in its automotive trim bending process reached 40–47%, slowing down production and requiring massive manpower for inspection and rework.

By adopting Profet AI’s no-code platform, Minth trained over 800 employees to build models themselves. Importantly, these were not data scientists, but frontline process engineers. Using AI, they analyzed thousands of variables—such as material strength, equipment alignment, and environmental factors—to pinpoint the root causes behind the high defect rate.

The results were impressive: in the first phase alone, Minth saved RMB 5.9M (USD 820K) annually, with potential to scale to RMB 14.74M across more operations. Beyond financial gains, the company also cultivated 38 internal AI champions, who have since launched over ten new projects—laying the foundation for long-term, replicable improvements.

Case Study 2: Chicony Power — Smarter Energy Optimization

Chicony Power, one of Taiwan’s top three power supply manufacturers, approached AI from a different angle: energy efficiency. In its factories, large chiller systems consumed enormous amounts of electricity, and scheduling decisions relied solely on engineers’ experience. Managing multiple chillers, pumps, and cooling towers manually was complex, error-prone, and often inefficient.

With Profet AI, Chicony built two interconnected models:

  1. Load forecasting—predicting cooling demand by combining weather data with production schedules
  2. Energy optimization—determining the most efficient equipment combinations and providing real-time recommendations

This system delivered 3–15% energy savings under different operating conditions. At Chicony’s scale, even small percentage gains translate into substantial cost reductions. In addition, the AI system provides early equipment warnings, preventing costly downtime, and reduces risks caused by human error—making energy management smarter and more resilient.

From Quick Wins to Enterprise Transformation

HexaTech CEO Bancha (Beam) Dhammarungruang highlighted that success begins with quick-win projects that demonstrate measurable impact, which can then be scaled across the enterprise. HexaTech’s six-step approach includes: mapping processes, prioritizing opportunities, identifying key parameters, building models, testing, and integrating with existing ERP/CRM/MES systems.

“Many think AI success depends on algorithms alone. In reality, it’s about the right combination of business priorities, talent readiness, and technology fit. Only then can AI be turned into real cash flow—from cost savings to new revenue opportunities.”
— Bancha

Lessons FromTaiwan’s Industry

Thailand’s current challenges mirror what Taiwan faced a decade ago: labor shortages, an aging workforce, and a skills gap among younger employees. AI is not only a productivity tool—it’s also a way to capture and scale expert knowledge for the next generation.

As the case studies show, the most successful AI projects share common traits:

  • Targeting clear business pain points
  • Combining domain knowledge with AI expertise
  • Embedding into daily workflows, not just running pilots
  • Developing workforce capabilities to sustain adoption

For Taiwan, moving from “trying AI” to enterprise-wide transformation requires leaders to focus less on the hype and more on embedding AI into core business strategies. Done right, AI won’t just be a buzzword—it will deliver tangible, measurable, and lasting value across manufacturing, F&B, retail, and beyond.

Want to learn how Profet AI helps manufacturers achieve fast, measurable results? Fill out the form below.

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Crossover Talks Jiaxing: Minth Group AI Smart Manufacturing in Action

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Crossover Talks Jiaxing: Minth Group AI Smart Manufacturing in Action

AI in practice—seeing is believing. Step onto the factory and witness the change.

As artificial intelligence becomes a key driver of industrial upgrading, manufacturers are rolling out digital transformation strategies. Yet the real challenge is not whether companies recognize AI’s importance, but how to make AI truly land and deliver measurable results on the shop floor.

Jointly organized by Profet AI, Minth Group, and the Ningbo Intelligent Manufacturing Industry Association, Crossover Talks Jiaxing: Minth Group AI Smart Manufacturing in Action focused on real-world implementation, bringing participants directly into the factory demonstration base to see how AI is reshaping manufacturing.

Group photo with organizers and speakers

Upgrading Core Knowledge, Turning It into Productivity

Profet AI Co-founder & CEO Jerry pointed out that manufacturing today resembles the “three suns” in the sci-fi novel The Three-Body Problem, simultaneously facing three major uncertainties: shifting global tariffs, geopolitical conflicts, and the rapid advance of AI. In this environment, resilience is the only way forward, and applying AI on the ground is the key breakthrough.

Jerry emphasized that the heart of manufacturing lies in the practical experience of frontline staff and domain experts—their skills in machine tuning, process design, and tacit knowledge represent core competitiveness. Profet AI’s mission is to transform this expertise into scalable data models and assets through Domain Twin™, enabling companies to replicate consistent processes and quality across different sites and factories—converting experience into productivity.

Profet AI CEO Jerry Huang explaining how Domain Twin helps companies optimize processes and build resilience

From Knowledge Retention to Standardization and Assetization

Profet AI Pre-sales Director Eugene added that in today’s “high-uncertainty” era, most manufacturers face three pressing challenges: insufficient process capability, overly long product R&D cycles, and the loss of critical know-how when veteran employees leave.

AI’s value should not remain in strategy papers or R&D labs; it must be applied on the ground. By converting tacit experience into explicit knowledge, trial-and-error can evolve into traceable, standardized processes. With Domain Twin™, enterprises can embed critical parameters, process logic, and best practices directly into models, enabling even new employees to ramp up quickly.

Eugene stressed that AI adoption doesn’t have to start with complex algorithms. Instead, it should begin with clear pain points, building interpretable and reusable solutions—a first step in moving from experience-driven to data-driven.

Profet AI’s Eugene sharing how to achieve knowledge retention and smart manufacturing transformation under uncertainty

From Workshops to Results: 35% Yield Improvement & Cultural Shift

Chen Yikai, Deputy General Manager of Excellence Wire Ind. Co., Ltd., shared their hands-on AI journey. Excellence Wire, a specialist in crystal heads and network jumpers, had already invested years in lean and digital initiatives. But after visiting Minth’s Future Factory in 2024, they witnessed for the first time how AI could concretely optimize processes and boost yield—prompting them to launch adoption projects.

Unlike traditional classroom training, they implemented a workshop model, involving 13 departments across the company to integrate AI into daily workflows. Despite challenges like difficult topic selection, incomplete data, and unclear outcomes, with the consulting team’s guidance they broke through barriers.

The result: In the “foil stripping” process of their C6A FTP product line, yield improved from 50% to 85%, saving about 100 hours of labor per month. More importantly, company culture shifted from experience-based decisions to data-driven decisions, with AI becoming part of the organizational DNA.

Profet AI Sales Director Coco Liu in dialogue with Chen Yikai on how AI drives both technical and cultural transformation

AI+ Driving Deep Transformation: Minth’s Component Process AI Applications

Even Zhang, Senior Digital Transformation Project Manager at Minth Group, shared the group’s transformation experience. Through systematic AI training, both management and frontline staff developed a shared language, creating a top-down and bottom-up transformation dynamic. In 2024, Minth gathered 64 proposals and successfully rolled out 10 AI projects, including one focused on yield improvement in “bending arc dimensions.”

The cross-departmental project, completed over three months, ran fully on the Profet AI AutoML platform—from data collection and model building to shop-floor validation—ultimately identifying key process factors and applying them in production, significantly enhancing stability.

Minth is also advancing short-, medium-, and long-term strategies to refine models and expand adoption across its 70+ factories worldwide. Even highlighted that the greatest challenge is building user trust in AI. Minth addressed this by introducing phased training, sharing success stories, and cultivating in-house AI “seed instructors” to empower global sites to independently drive projects, paving the way for global smart manufacturing upgrades.

Minth Group’s Even Zhang sharing real-world AI applications and global rollout strategies

From the Factory Floor, Glimpsing the Future

This industry exchange demonstrated clearly: AI is not a distant vision—it is a tool that can be transformed into real productivity on the factory floor.

The collaborations between Profet AI, Minth Group, and Excellence Wire show that AI adoption can start with concrete pain points, crystallize expertise into models, and turn pilot successes into organizational capabilities.

Amid global competition and shifting markets, manufacturing resilience stems from ongoing experimentation and continuous innovation. To make AI real, you need to step into the factory and witness it firsthand. That is the truest takeaway from Jiaxing—and a tangible roadmap toward the future of smart manufacturing.

If you would like to know more about Profet AI’s Domain Twin, please fill in the form below to request additional information or schedule a demo.

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Crossover Talks Kaohsiung：Navigating Global Disruption with Domain Twin

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Crossover Talks Kaohsiung：Navigating Global Disruption with Domain Twin

Profet AI joined forces with Chunyao Digital to co-host our Crossover Talks in Kaohsiung. Themed “Navigating Global Disruption with Domain Twin”, the event explored structural challenges facing enterprises and proposed strategic AI-driven solutions amid global industrial shifts, where manufacturing is grappling with tariff uncertainties, geopolitical risks, talent mobility, and supply chain restructuring.

We invited manufacturing industry leaders, including former Innolux CIO Dr. Howard Hsieh, former Yageo CEO David Huang, ChipMOS Technology consultant Michael Wang, and Chunyao Digital General Manager Jeff Chi, who shared insights on overseas plant setup, technology transfer, organizational collaboration, and knowledge inheritance, highlighting how AI and the Domain Twin concept can help navigate disruptions and build sustainable advantages in smart manufacturing.

Group Photo with Event Attendees

From Expertise to Scalable Process: A Practical Path for AI in Manufacturing

In his opening remarks, Profet AI CEO and Co-Founder Jerry Huang noted that while the potential of AI is widely recognized, few truly know how to implement it. With rising tariffs and volatile exchange rates adding pressure, manufacturers are seeking breakthroughs through AI. Yet gaps in understanding, from leadership to frontline staff, often leave projects stalled at the slogan stage. James, Executive Assistant to the CEO, added that global trade shifts and “Trump tariffs” are prompting companies to consider relocating production to the U.S. or ASEAN, but data security risks, talent shortages, and the need for rapid operational ramp-up remain major hurdles.

Many manufacturers have advanced in digitalization, ERP/MES adoption, and automation, but James emphasized that the human factor is still critical. As experienced workers become scarce due to demographic and labor shifts, AI is emerging as a key enabler of transformation. Profet AI’s five modules: the Resilience Management Framework, AutoML Platform, AILM Platform, AI Studio, and AI Thinking Workshop can help companies turn strategy into execution, accelerate knowledge transfer, and scale AI applications to optimize the entire process from R&D to production.

Former Innolux CIO Dr. Howard Hsieh shared his experiences in digital transformation.

Innolux 4.0: The Three Pillars of Industrial Digital Transformation

Drawing on his years of frontline manufacturing experience, former Innolux CIO Dr Howard Hsieh shared insights from leading the company’s “Innolux 4.0” initiative. He emphasized that true digital transformation goes beyond technology adoption and requires reshaping both management capability and talent capability, all starting with determination. He noted that a culture of continuous improvement is the ultimate goal. For smart manufacturing, Howard outlined three pillars: Culture (breaking silos and fostering connections), Methodology (combining shop floor observation with data), and Technology. Research from the Artificial Intelligence Foundation shows that over 70% of Taiwan’s manufacturers are stuck at the third of four AI adoption stages, able to run projects but unable to scale them company-wide.

 

Howard believes companies do not need to wait until every condition is met before starting large-scale transformation. Instead, they should begin with an AI diagnosis. “Using AI for diagnosis is the starting point of continuous improvement,” he said. The strategy of “starting small, optimizing step by step, and then expanding” is, in his view, the key to unlocking AI’s true value.

Former Yageo CEO David Huang urges using resilience and AI to seize opportunities.

Strategic Outlook and Time Management: Keys to Thriving Beyond Technology

David Huang, former CEO of Yageo and now Founder of Jensen Capital, reflected on past financial crises, highlighting the impact of exchange rate fluctuations on profitability and the importance of turning crises into opportunities. He recommended reserving one-third of the budget for unpredictable risks such as tariff changes or currency swings to strengthen financial resilience.

He noted that Taiwan’s manufacturing sector should leverage its strong industrial base to move AI from Preventive Maintenance to Prediction, integrating it with domain expertise. The real gap, he said, is the shortage of “Domain Agents” who can develop and transfer specialized knowledge. Facing global uncertainty, companies should anticipate multiple scenarios and plan ahead for talent and facility redeployment, ensuring readiness during supply chain shifts.

Michael, former Innolux head of automation, shared challenges in overseas factory setup.

The Hidden Challenges of Overseas Factory Setup: Replicating Operations and Talent

Michael, now a consultant at ChipMOS Technology, shared the challenges he faced while leading overseas factory setups as Chief Plant Manager for Greater China at Innolux. Recalling his first relocation project over 30 years ago in China, he described hurdles such as equipment power differences, maintenance issues, and language and cultural gaps, which made SOPs hard to enforce and required hands-on training for local staff. As labor costs rose, he successfully drove automation, reducing the workforce from 6,000 to just 200 employees.

 

He emphasized that the push for AI and automation often encounters internal resistance, including doubts over ROI, difficulty in quantifying benefits, and reluctance to change. Michael believes that “the key to driving reform is the determination that as long as it doesn’t kill me, I will keep going.” He urged companies to focus on long-term operational efficiency and knowledge accumulation, as the value gained over time far outweighs short-term returns.

Jeff, GM of Chunyao Digital, urged early adoption of domain-driven AI to boost supply chains.

Data-Driven Supply Chain Upgrades: AI as the New Standard for Enterprises

At the forum, Jeff Chi, General Manager of Chunyao Digital, noted that enterprise management is a continuous process of transformation, requiring stronger data integration and collaboration to enhance supply chain resilience and adaptability. “AI accuracy can already reach 95%, but for multi-agent systems, enterprises demand even higher precision. Reliable AI must combine industry domain knowledge with reproducibility and controllability,” he said.

In the digital economy era, AI is already as important as, if not more critical than, traditional MES systems. With AI technology advancing rapidly, he strongly advised companies to plan their AI adoption timelines as early as possible, treating data and knowledge management as core assets. This approach not only boosts efficiency but also protects valuable expertise from being lost due to employee turnover, helping secure long-term competitiveness.

Learn how AI helps manufacturers navigate global disruption. Fill out the form to get event highlights, case studies, and transformation strategies from industry leaders.

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Guests at Profet AI Crossover Talks

Wiwynn Reduces Labor Costs in Component Pricing with AI; Mighty Electronics Achieves New Production Efficiency Using AutoML Platform

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Global Server Leader Fosters an “All-in AI Culture” through AI-ML Thinking Workshops; User-Friendly AI Empowers a 30-Year SMT Veteran to Successfully Transform into a Hardware Innovation Hub

Guests of Crossover Talks EMS

The adoption of AI applications in enterprises is already underway in Taiwan. The most pressing issue is how to leverage various resources to empower employees quickly and establish an internal AI culture.

Profet AI, recognized as one of the Top 100 Startups of 2024 and deeply rooted in the AI software market for manufacturing, recently hosted a dedicated Crossover Talks EMS event titled “Straight Talk! Ask Us Anything About Real-World AI Implementation Experiences!” The event featured experts from industries such as Wiwynn, a global leader in cloud servers; Mighty Electronics, a renowned EMS brand with 30 years of experience; and Super Dragon, Taiwan’s first publicly listed environmental technology company.

These industry leaders shared their comprehensive journeys from initial AI adoption to subsequent promotion, offering authentic insights to the audience. Through practical case studies and a live Q&A session, attendees gained a deeper understanding of the challenges in promoting AI within the industry and sparked ideas for further innovative AI applications.

Comprehensive Team Engagement: Wiwynn Boosts Talent Quality through AI Machine Learning Workshops
Dr. Bey Yu, Director of Information and Digital Technology at Wiwynn, Shares Insights on AI Adoption

Dr. Bey Yu, Director of Information and Digital Technology at Wiwynn, shared the company’s motivations and strategies for AI adoption. He emphasized that Wiwynn’s core principle is “strategy from the top down, execution from the bottom up.” He highlighted that promoting AI should start small and gradually expand across the organization by connecting AI teams horizontally, ultimately integrating it into the company culture.

Dr. Yu mentioned that the rise of generative AI in 2022 spurred Wiwynn to actively pursue a company-wide AI initiative. To achieve this goal swiftly, the company chairman personally oversaw the effort, mobilizing all departments and establishing a Center of Excellence (CoE) as a dedicated team for AI promotion while seeking external collaborations.

Being a key player in NVIDIA’s supply chain, Wiwynn collaborated closely with Profet AI to accelerate AI technology adoption. Wiwynn valued Profet AI’s extensive expertise in the manufacturing industry and decided to partner with them. Profet AI’s experienced consulting team and industry-specific AI implementation methodologies guided Wiwynn’s team in brainstorming actionable AI topics. Over a four-month AI workshop, nearly 100 domain experts across different teams built close to 800 predictive models and successfully generated nearly 30 AI topics.

While simultaneously validating the feasibility of these AI topics, Wiwynn successfully established a culture of AI engagement, enabling non-IT employees to use data-driven thinking to improve their current work processes. Dr. Yu shared that many successful topics were related to cost estimation. Previously, the component pricing process required over 20 personnel; now, with AI effectively leveraging historical data, they can quickly build models and provide quotes on demand, significantly enhancing operational efficiency.

Another beneficial topic was the optimization of experimental parameters in the R&D department. Engineers used to spend an entire day on repetitive tests, but now AI suggests optimal parameters, greatly reducing experimental costs. Dr. Yu emphasized that the key to AI adoption is not just short-term ROI but also improving employee quality, reinforcing the importance of data, and shifting mindsets, thereby forming a culture that serves as the foundational strategy for long-term AI promotion.

A Champion of Hardware Innovation: Mighty Electronics Expands Its AI Culture from Point to Area
Ray Tai, Vice President of Mighty Electronics and CEO of Mighty Innovation, Shares Real-World AI Implementation Experiences

Ray Tai, Vice President of Mighty Electronics and CEO of Mighty Net, shared the company’s real-world experiences with AI adoption. He recalled how, under the guidance of consultants, the company began experimenting with AI in 2019, starting with small-scale applications and gradually expanding to automated deployments, helping employees transform their thinking patterns.

When the pandemic suddenly broke out, significant adjustments to personnel arrangements were necessary, prompting the company to embark on a series of digital transformations. Tai personally led the initial push for digitization, helping employees transition from paper-based operations to automation. He pointed out that the biggest challenge in digital transformation is changing habits, so it’s crucial to lower the barriers to entry.

The simplicity and user-friendliness of Profet AI’s tools have been the primary reason for their ongoing collaboration since 2019. In the initial phase of transformation, Tai aimed to first address supply chain-related pain points, selecting employees with a stronger data mindset as the first batch of seed members, and then gradually expanding AI data thinking to other operational departments.

Tai mentioned that the greatest benefit of AI adoption has been enabling employees to gradually establish a data-driven mindset. He cited an example of transitioning from “manually recording lunch orders” to “scanning QR codes to order meals.” While this shift in daily habits may seem minor, it gradually establishes an internal AI culture, preparing every domain expert for the best transformation and upgrade.

Beyond building a habit of data thinking, AI has also helped the Mitec team uncover new key factors that had previously gone unnoticed. For example, when addressing issues with SPI printers, the lack of effective data initially hindered model performance. However, by involving on-site personnel directly in the AI modeling process, they identified unexpected key factors, effectively improving data collection quality and model performance. These outcomes, from starting at a single point to laying a foundation for expanding to broader applications, reflect the company’s commitment to digital and AI transformation, paving the way for a solid future in comprehensive AI applications.

Strategic Partnership with Super Dragon: Deepening Smart Applications in Renewable Energy and ESG
Profet AI and Super Dragon Formalize Partnership

Profet AI and Super Dragon formalized a partnership at the forum, committing to jointly advancing smart applications in areas ranging from waste management to renewable energy. Super Dragon President Ken Wu also shared how the company integrates storage technologies for renewable energies such as solar and wind, as well as virtual power plants and other smart applications, and plans to incorporate more AI technologies to create a more comprehensive renewable energy service system. President Wu noted that these innovative applications are not only Super Dragon’s proactive exploration in the ESG field but also represent a smarter future development path for the industry.

This Crossover Talks event provided a platform for in-depth exchanges of practical experiences in the EMS industry. Through on-site discussions and field visits, participants gained a more intuitive understanding of AI and ESG initiatives’ specific applications in the industry. Profet AI will continue this series of events, bringing more practical cases and expert insights to the industry, exploring the limitless possibilities that AI brings to industrial upgrading.

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