The electronic components distribution industry is navigating a new era of complexity and transformation. With ongoing supply chain disruptions, rising demand across key sectors, and rapid digitalization, traditional models are being redefined. NewPower Worldwide shares its insights on how the industry is evolving—and what it takes to stay ahead. Can you provide an overview of the current landscape of the electronic components distribution industry? Where does the industry stand on the excess-to-shortage scale?The electronic components distribution industry remains challenged by ongoing supply chain disruptions driven by post-pandemic effects, geopolitical tensions, and rising demand in sectors like automotive, IoT, and AI. Lead times for key components still average 12–40 weeks. Traditional concepts, such as the "excess-to-shortage" scale, have become less relevant as consolidation in authorized distribution has diminished service levels, prompting OEMs to rethink their supply chain strategies. In response, companies are reshoring production and prioritizing cybersecurity while adopting proactive inventory management tools. Our customers are increasingly relying on real-time data and our proprietary platform, EMPOWER, to manage risk and ensure supply chain continuity. While AI and automation are transforming procurement, human expertise remains vital. Strategic partnerships with distributors that offer market insights, strong supplier relationships, and financial stability are essential to navigating today's complex landscape.The past few years have brought significant supply chain disruptions. How has the industry adapted, and what strategies have been most effective in mitigating such challenges?Distribution is undergoing a major shift as companies move away from standardized models and customize their supply chains to meet specific operational and strategic goals. Factors such as geopolitical risk, rising costs, and the need for supply continuity are prompting organizations to redesign their component sourcing strategies. This shift is driving demand for more flexible and responsive distribution solutions. Companies are no longer focused solely on price, prioritizing availability, lead time, and resilience. Distributors must now offer tailored programs such as regional inventory hubs, consignment models, and supplier diversification strategies. As a result, distribution is becoming more integrated into broader supply chain planning. The ability to adapt quickly and support unique customer needs is no longer optional; it's essential for long-term success in today's dynamic market.What technologies are having the biggest impact on the distribution of electronic components today? How are AI, automation, and IoT shaping the future of the industry?AI, automation, and IoT are transforming the distribution of electronic components by making supply chains more intelligent, efficient, and agile. AI enables more accurate forecasting, dynamic pricing, and demand planning. Automation improves warehouse operations, increasing speed and accuracy across the fulfillment process. Meanwhile, IoT provides real-time visibility into inventory, logistics, and product performance, which is critical for making proactive decisions. These technologies reduce delays, minimize excess stock, and optimize working capital. While digital transformation is essential, human insight remains critical. Successful distributors combine smart technology with industry expertise to deliver end-to-end support, enabling customers to adapt quickly to market changes and maintain uninterrupted supply continuity.What are the biggest challenges facing electronic components distribution today, and how is your company navigating them?The electronic components distribution industry faces several significant challenges today. Supply chain disruptions remain critical, with semiconductor shortages causing unpredictable lead times. Geopolitical tensions, particularly between the U.S. and China, exacerbate these issues through tariffs and trade barriers. Additionally, rising costs for raw materials and logistics continue to pressure profit margins. To navigate these challenges, companies are leveraging advanced technologies, such as AI for demand forecasting and IoT for real-time inventory management. Strengthening supplier relationships and diversifying sourcing networks enhances resilience against geopolitical risks. Investing in digital transformation, including automation and cloud computing, improves operational efficiency. By embracing these strategies, businesses can better manage complexity, maintain competitiveness, and build a more resilient distribution model in today's dynamic market.How is digitalization transforming the way components are sourced, sold, and delivered? Are we seeing a shift toward e-commerce platforms and digital supply chains?While digitalization is transforming the sourcing, selling, and delivery of components, there is a noticeable shift away from traditional e-commerce platforms in the electronic components industry. These platforms often lack the personalized service, real-time support, and flexibility that customers require, especially during supply chain disruptions or urgent sourcing needs. Instead, companies are adopting more advanced digital supply chain solutions that integrate AI, data analytics, and real-time inventory visibility. These tools enable tailored service, faster decision-making, and improved transparency. The focus is shifting toward digital platforms that combine technology with high-touch service to better meet the complex demands of global procurement.Given geopolitical tensions and economic shifts, are we seeing an increase in reshoring or localization efforts within the supply chain? How is this affecting global distribution strategies?Geopolitical tensions and economic shifts have accelerated reshoring and localization within supply chains. Nearly 87% of North American manufacturers are actively pursuing reshoring or nearshoring due to rising labor costs in Asia, tariffs, and vulnerabilities exposed by the COVID-19 pandemic. This shift is transforming global distribution strategies, with companies favoring regional manufacturing hubs, particularly in Mexico and Canada, over-reliance on China. The move toward "friend-shoring" enhances resilience by relocating production to politically stable countries. Additionally, businesses are leveraging technology and data analytics to improve supply chain visibility, agility, and sustainability, focusing on shorter, diversified networks that reduce lead times, costs, and emissions.How have customers' expectations evolved in recent years, and what innovations are being introduced to improve service, efficiency, and transparency?In recent years, customer expectations have undergone significant evolution, with a strong emphasis on speed, transparency, and personalized service. Distributors are responding by adopting a "back to basics" approach, prioritizing exceptional service and support as core differentiators. To meet rising demands, many are investing in innovative technologies, particularly software solutions powered by artificial intelligence. These tools enhance efficiency, streamline operations, and enable faster response times. AI-driven platforms also offer real-time insights, improving transparency and decision-making for both customers and distributors. Ultimately, these advancements are transforming customer experience, ensuring service remains timely, reliable, and aligned with evolving market needs. By combining world-class service with cutting-edge technology, New Power Worldwide continues to set the standard for excellence in global electronic component distribution.

The emergence of AI has initiated a new era of intelligent revolution in smart manufacturing. In this context, Jerry Huang, founder and CEO of Profet AI, highlighted that the global manufacturing industry lacks application engineers who understand production processes and can effectively implement AI, rather than data scientists.Huang noted that during his early career, he helped various industrial firms deploy ERP and MES systems while working for IBM, SAP, and other worldwide software giants. He concluded that implementing AI applications, even with the most advanced algorithms, would be difficult unless accompanied by professional skills and actual experience. As a result, Huang's goal was to create a system that enables engineers to quickly master AI applications without requiring a deep understanding of the methods, as well as to handle practical challenges such as recipe optimization and yield analysis. Finally, this concept evolved into a set of solutions for Profet AI.Profet AI's technology consists of three key components that work together to produce a full AI solution for the manufacturing sector. The AutoML no-code platform enables engineers with no AI expertise to gain knowledge through real experience. They can significantly lower the hurdles to AI implementation by creating high-quality predictive models for applications like industrial yield forecasting and equipment predictive maintenance.The AI Lifecycle Management (AILM) platform is a management platform that is specifically designed for enterprise AI models. It is capable of standardizing and organizing a multitude of AI models, all while establishing a cohesive knowledge base system. Huang clarified that AILM serves as a virtual consultant, helping companies organize and repurpose developed AI assets to prevent redundant development. Additionally, it ensures seamless integration with generative AI technologies and large language models.Domain Twin is a platform that Profet AI will promote this year and can be viewed as an essential tool for digital professional development. Huang compared Domain Twin to an AI apprentice capable of integrating senior engineers' experiential knowledge and decision-making logic, allowing novices or other facilities around the world to replicate the same expertise. This tackles the industry's difficulties of labor dispatch and rapid expertise transfer, while also protecting vital technologies during the company's global growth.The Ready to Go Apps platform, which Profet AI has developed, integrates the practical expertise of over 300 enterprises and a multitude of application cases to help organizations overcome the challenge of "desiring to implement AI but lacking a starting point." Users can identify the ideal AI application solution in three straightforward steps within five minutes, effectively assess relevant issues in the domain, and markedly speed up the integration process via the AutoML platform, enabling non-technical individuals to proficiently utilize AI technology to address real-world challenges.Profet AI expands into new manufacturing areas, and TTA supports its international deploymentHuang stated that Profet AI's products have utilized English interfaces since inception, and the company has developed internationally standardized products as well as services SOP. Furthermore, 80% of the personnel possess international commercial expertise, so creating a strong worldwide foundation. The global viewpoint is rapidly reflected in the product R&D approach. Profet AI's technology originates from significant collaboration with prominent industrial organizations.Wiwynn, a global pioneer in cloud servers and storage solutions, has incorporated numerous AutoML models to address various practical difficulties, such as design verification and process optimization.Huang stated that the primary reason manufacturers of diverse sizes favor Profet AI solutions is that all advancements in technology are motivated by actual business needs. This "practical experience" product development method renders its solutions highly pragmatic. Moreover, client feedback is instantly reflected in the trajectory of product development, creating a beneficial loop propelled by both technology and demand.Profet AI's global expansion is advancing swiftly, with Kumamoto, Japan, and Malaysia as the next focal points. The company has successfully participated in international accelerators, discovered potential clients, and connected governmental resources through TTA. Huang underscored the necessity of this help. Profet AI will further improve platform capabilities and AI model efficiencies to alter the global manufacturing sector, positioning Taiwan's smart manufacturing solutions prominently in the international industrial arena.

Test Research, Inc. (TRI), the leading test and inspection systems provider for the electronics manufacturing industry, proudly introduces the new TR7500 SIII Ultra. The new Multi Camera AOI solution features advanced inspection technology, delivering industry-leading speed and precision for electronics manufacturing.The new AOI TR7500 SIII Ultra features Multi-Angle Side View inspection with four side-angled cameras and one top camera for full coverage defect detection. The side view cameras allow the platform to inspect inner layer bridges, hidden lifted leads, and other out-of-sight defects. The TR7500 SIII Ultra also supports optional capabilities such as AI-powered inspection, Metrology-grade measurements, and 3D laser imaging to enhance accuracy and coverage.Built on the same high-precision platform as TRI's flagship TR7700Q SII, the TR7500 SIII Ultra enhances mechanical performance with Ballscrew Z-axis control and an AC Servo Motion Controller. The structural design has also been significantly upgraded. Compared to its predecessor's welded steel frame, the TR7500 SIII Ultra is built on a vibration-resistant cast iron base that provides superior rigidity and inspection stability. The system supports PCB weights up to 3 kg, with optional configurations for 5 kg and 12 kg.The TR7500 SIII Ultra supports current Smart Factory and communication standards, including SMEMA, SECS/GEM, IPC-CFX-2591, and IPC-HERMES-9852, ensuring a cost-effective, Industry 4.0-compliant solution for comprehensive defect detection and data exchange.For more information about the TR7500 SIII Ultra, please visit the link below,https://www.tri.com.tw/en/product/product_detail-11-2-1844.htmlTR7500 SIII Ultra – Multi-camera AOI system for high-precision, all-angle inspection