Electronics Manufacturing

Don Nelson, Senior Vice President of Operations at PRIDE Industries, was interviewed recently by Electronics Manufacturing News. In Part Two of the two-part interview, Don gives valuable advice for reshoring manufacturing successfully. Not sure whether or not your company should reshore operations? See Part One of the interview.

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Electronics Manufacturing News (EMN)
What are some strategies for reshoring manufacturing?

Reshoring manufacturing operations back to the U.S. requires a multi-faceted strategy that addresses logistics, weather, labor, and warehouse operations.

Don Nelson
First, you need a plan, one that has input and buy-in from all the relevant stakeholders, including engineers, supply chain managers, and execs. Then, if the feasibility studies and risk assessments yield a green light, you can start slowly.

For most companies, it makes sense to take a phased approach. Like a hybrid model, where you start by reshoring IP-sensitive or high-value production first and then expand the products you make domestically as your production capabilities increase.

Similarly, depending on why you’re choosing to reshore, you may not need to come all the way back to the U.S. You can solve a lot of shipping and weather problems by nearshoring to a place like Mexico. Of course, even with nearshoring, you still have the issue of tariffs.

If you bring production back to the U.S., then I recommend investing in cutting-edge automation. That will help reduce labor costs, and can also improve quality and efficiency over what you had before. Reshoring manufacturing gives you a clean slate; I’d make the most of it by setting up state-of-the-art systems.

And finally—and this is actually something I’d do at the planning stage—make sure you investigate grants, tax breaks, and other government incentives for bringing your manufacturing back onshore. Federal, state, and even local governments sometimes offer these economic incentives, and the terms usually aren’t onerous, which makes these incentives a good deal. Never leave money sitting on the table.

EMN
When does it make sense to use a contract manufacturer as a way to reshore? How do you determine when to do it yourself and when to rely on a third party?

Don
There are certain situations where a lot of risk can be avoided by using a contract manufacturer. Companies that have variable production volumes, for example, can get a lot of benefit from this kind of partnership, because contract manufacturers are equipped to efficiently manage fluctuations in demand—whether it’s ramping up a new product or scaling down during a slow period.

Contract manufacturers also bring deep expertise in regulatory compliance, and can help their partners navigate local and international standards like UL, FCC, or RoHS. This expertise is crucial for avoiding legal pitfalls and ensuring a smooth market entry.

Another advantage companies get in this type of partnership is the ability to leverage their contract manufacturer’s infrastructure and supply chain relationships, which can significantly speed up the time to market for new products. This is especially valuable in the fast-paced electronics sector, where being first to market can be a major competitive advantage and a real incentive for reshoring manufacturing in the first place.

EMN
What strategies would you recommend for companies to ensure a smooth and cost-effective transition when reshoring manufacturing operations back to the U.S.?

Don
Reshoring manufacturing back to the U.S. requires a multi-faceted strategy that addresses logistics, weather, labor, warehouse operations, and robust management systems.

Start with thorough logistics planning. Given tariff policy shifts and changing trade routes—including potential disruptions around key passageways like the Panama Canal—evaluate alternate distribution methods and secure partnerships with logistics specialists who understand U.S. regulations and geography. Integrate advanced logistics management (LM) systems and IoT-enabled platforms to optimize supply chain routes, predict delays, and maintain real-time visibility into goods movement.

Weather remains a critical factor: U.S. regions face diverse climates, and manufacturing hubs in the Southeast or Midwest may encounter hurricanes, storms, or winter delays. Use predictive analytics within LM systems to build contingency plans around severe weather, including dynamic rerouting and warehouse stock adjustments.

Also, be sure to assess labor market conditions by focusing on strategic recruitment, workforce training in automation, and upskilling existing employees to collaborate with robotics and AI-driven equipment. Persistent labor shortages demand creative workforce solutions, like investing in competitive compensation packages and automation to offset gaps.

Warehouses should be re-evaluated for scalability, flexibility, and sustainability. Implementation of advanced warehouse management systems (WMS) supports inventory controls, lean operations, and rapid order fulfillment. Consider green building standards and energy-efficient upgrades to minimize overhead costs in new facilities; this also helps companies future-proof against energy price shocks and respond to demands for sustainable operations.

Finally, integrate a comprehensive quality management system (QMS) to drive consistency and compliance from day one. A well-documented QMS ensures process control, traceability, real-time quality monitoring, and rapid problem resolution—all of which are crucial during the turbulence of relocation and startup. By combining tech-enabled management systems, strategic workforce planning, climate-aware logistics, and agile warehousing, companies can significantly mitigate risks, streamline costs, and position themselves for sustainable growth in the reshored U.S. manufacturing landscape.

EMN
How important is having a trained workforce for successfully reshoring manufacturing, and what steps should companies take to build and retain a skilled workforce?

Don
A trained workforce is absolutely critical to the success of reshoring in electronics manufacturing. While bringing production back to domestic soil involves investments in facilities and technology, the human element remains the backbone of sustainable operations. A skilled workforce not only ensures smooth production processes but also drives the innovation and operational efficiency that’s essential for competitiveness.

To build and retain this workforce, companies should start with comprehensive training programs. Deploying structured training, including continuous improvement methodologies like Six Sigma and Kaizen, sharpens process quality and problem-solving skills. And partnerships with trade schools, community colleges, and technical institutions can foster talent pipelines and keep operations resilient. These collaborations also help fast-track apprenticeships and certifications tailored to modern manufacturing technologies. Finally, as a leader of a social enterprise with a mission to provide jobs for people with disabilities, I also recommend that companies look beyond their traditional hiring pools to include overlooked groups like people with disabilities and military veterans.

Beyond initial training, continuous employee development is essential. Leveraging modern training technologies like VR simulations and e-learning platforms enhances workforce readiness for complex manufacturing environments. Companies should also foster a culture of innovation and learning, and offer growth opportunities that boost retention.

Investing in competitive compensation, wellness programs, and flexible work arrangements also plays a crucial role in attracting and keeping skilled workers. Strong workforce development efforts reduce turnover and enhance safety, which are significant operational advantages.

Ultimately, successful reshoring requires a strategic emphasis on workforce capabilities. That means building and nurturing a skilled, motivated team backed by institutional partnerships, ongoing training, and continuous talent pipeline development. This approach not only bridges the critical skills gap but also ensures that reshored operations are efficient, innovative, and competitive.

EMN
What role does investing in advanced technologies, such as automation or AI, play in making reshoring both viable and competitive?

Don Nelson
Don Nelson, Senior Vice President of Operations, PRIDE Industries

Don
Investing in automation and AI are crucial for reshoring manufacturing successfully. Reshoring can sometimes bring higher labor costs compared to offshoring, so for reshoring to make sense, it must make companies more agile and efficient. Automation helps by taking over repetitive, dangerous, or precision-based tasks, boosting productivity and reducing labor costs. AI enhances automation by enabling smarter, adaptive systems, like AI-driven collaborative robots (cobots) that work safely alongside humans to improve speed, quality, and flexibility on production lines.

AI is particularly valuable for benchmarking and forecasting. By analyzing real-time production data and market trends, AI systems create digital twins that enable manufacturers to simulate and optimize operations before implementing changes. This supports better demand forecasting, inventory management, and resource allocation, which reduces waste and downtime. However, for AI to be truly effective, you have to ask the right questions and define relevant objectives. Without clear direction, AI’s predictive and analytical capabilities can be underutilized or misapplied.

Together, AI and automation form a powerful combination. Automation executes physical tasks efficiently; AI continuously learns from data to optimize processes, predict maintenance needs, and adapt workflows dynamically. This synergy allows reshored manufacturing operations to achieve the flexibility, quality, and cost-effectiveness that companies need to compete globally. And that’s what bridges the gap between higher domestic costs and supply chain resilience. When companies embrace these technologies, then reshoring becomes a true competitive advantage.

EMN
What advice would you give for building strong relationships with domestic suppliers to ensure a resilient and efficient supply chain after reshoring manufacturing?

Don
I think the basis for any good manufacturing partnership is transparency. That means sharing accurate forecasts, production schedules, and potential challenges early. This fosters trust and allows suppliers to plan proactively. Equally important is clear, consistent communication at multiple levels—from strategic leadership meetings to operational check-ins—so issues are addressed before they become disruptions.

Approach the relationship as a partnership, where both sides commit to long-term success rather than short-term transactions. In this model, companies and their suppliers share mutual risk for mutual gain. That’s why I recommend collaborating on product development and inventory management, and even investing jointly in new technology.

A resilient relationship also depends on a willingness to compromise. Lead times, pricing, or minimum order quantities may need adjustment as domestic supply chains scale. Finding balanced solutions ensures both parties remain profitable and competitive.

The fact is, in the most successful partnerships, suppliers are treated as strategic allies, not interchangeable vendors. When you combine transparency with open communication and a shared risk-reward commitment, you get a partnership that can weather market fluctuations, accelerate innovation, and secure your reshoring investment for the long term.

EMN
Could you talk about a specific tactic for building a strong partnership with a domestic supplier?

Don
Sure. I can give you three.

First, make sure you engage suppliers early and regularly in collaborative strategic planning sessions, so you can align goals, expectations, and performance metrics. This includes sharing forecasts, capacity plans, and ideas for reducing costs and improving quality. Jointly setting measurable KPIs and mutual success targets builds shared accountability and trust, which embodies the “mutual risk for mutual gain” philosophy.

Second, establish structured communication channels and meeting cadences—ranging from executive-level relationship reviews to day-to-day operations check-ins. Openness about challenges or potential disruptions encourages problem-solving rather than finger-pointing. This transparency helps you anticipate risks and develop contingency plans together, which strengthens your supply chain.

Third, develop mechanisms for shared investment in process improvements, technology upgrades, or capacity expansions that benefit both you and your supplier. Adopt contract terms that reflect a willingness to compromise on lead times, pricing, or order sizes as market conditions evolve. This encourages a true partnership mindset where both sides balance risk and reward, fostering long-term stability and innovation.

Following these tactics with your supplier lets you transform a transactional relationship into a trusted partnership that supports efficiency, flexibility, and mutual growth.

EMN
When choosing a third-party manufacturing contractor in the U.S., what key factors should executives consider in order to ensure a reliable partnership?

Don
When you’re choosing a manufacturing partner, you really have to look at it from both a strategic and a practical angle. The first thing I tell companies is: Check the contract manufacturer’s track record. How long have they been doing this, and who have they worked with? That tells you a lot about their staying power and reliability.

Just as important is experience in your specific industry. You want a partner who understands your regulatory requirements and the quality standards you’re held to. Any potential partner should be able to show you its certifications, audit history, and the quality systems it has in place.

But technical capability isn’t the whole story. Flexibility is huge. Demand shifts, designs evolve, and supply chain surprises happen. The right contractor can flex with those changes without blowing up your schedule or your budget.

And then there’s cultural fit, which I think is often underestimated. Do they communicate in a way that works for your team? Do they approach problem-solving and accountability the same way you do? That alignment makes a big difference when challenges come up. At the end of the day, the strongest partnerships blend operational excellence with adaptability and a shared way of doing business.

A Reshoring Partner You Can Rely On

At PRIDE Industries, our state-of-the-art facilities minimize your risk of supply chain disruption, optimize manufacturing and fulfillment processing, and provide flexible, on-demand inventory schedules. Partner with us to better manage the unpredictability of tariffs, component availability, and shipping costs—while meeting customer demand for products made in the USA.

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Don Nelson, Senior Vice President of Operations at PRIDE Industries, was interviewed recently by Electronics Manufacturing News. In Part One of this two-part interview, Don outlines the benefits of reshoring and the impact of tariffs. He also shares which factors to consider when determining whether or not to reshore manufacturing. Already know that your company needs to reshore? Then see Part Two of this interview to get actionable advice for successful reshoring.

To keep up with industry news and trends, subscribe to Electronics Manufacturing News.

Electronics Manufacturing News (EMN)
When does it make sense for a company to reshore?

Don Nelson
Put simply, it depends on the math.

The impact of tariffs has been a lot like COVID’s—they’ve shown just how shaky and unpredictable the global supply chain can be. And just like the pandemic, tariffs aren’t going away.

Part of what’s driving a return to domestic production is the fact that the incentives to offshore are so much less compelling than they were a decade or so ago. Twenty years ago, material and labor costs were markedly lower in some countries than in the U.S., and shipping costs were reasonable. And if you happen to be in an industry where that’s still the case, then maybe you don’t want to change anything.

But for most companies today, the math has changed. All those costs are higher now. And there are new complications—extreme weather, tariffs, and geopolitical uncertainty. In this type of environment, it makes sense for companies that sell a lot to the U.S. to move at least some production here if they can, so that they don’t have all their eggs in one basket.

EMN
What are some costs and risks of reshoring?

Don
Reshoring does have its risks, which is why manufacturers need to plan carefully. If you’re building factories, that’s a big capital investment. It may be simpler to start by using a domestic contract manufacturer, which lets you retain more flexibility, should you decide to offshore at a later date.

Another issue is the cost structure, which can be different domestically than abroad. Labor costs have generally been higher in the U.S. than in typical offshore countries, but that’s changing—foreign wages have been moving up in recent years, so that advantage is eroding.

There’s also the issue of supply chain realignment, finding new sources for materials and components. Here again, you can get around this problem by contracting with a manufacturer that’s already well-established in the U.S., so that you can take advantage of its existing labor and materials ecosystem.

EMN
Regulatory compliance must be easier with domestic facilities, right? And is it easier to control quality?

Don
Not necessarily. Look, there are plenty of good reasons to reshore, but I don’t think compliance is one of them. A product that’s sold in the U.S. has to meet certain standards whether it’s made here or in Vietnam.

It is true that—for some companies—quality control becomes easier when they reshore, if only because it’s a lot less hassle to fly to another state in the U.S. than to get your personnel halfway around the world for a product inspection at a contract manufacturer.

EMN
What are the most significant benefits that companies can reap when they reshore manufacturing, particularly in terms of mitigating the impact of tariffs on their businesses?

Don
I think there are a couple of things to keep in mind when it comes to tariffs. First, the impact of tariffs has been a lot like COVID’s—they’ve shown just how shaky and unpredictable the global supply chain can be. Second, just like the pandemic, tariffs aren’t going away. They’re pretty much the new normal now, popping up all over the world and making it tough to plan ahead.

Bringing production back closer to home lets companies avoid some of those tariff headaches. It also means they’re not as exposed to sudden cost spikes or new trade rules, so pricing is more stable and predictable. Plus, reshoring can give companies a lot more control over operations, which lets them react faster if something unexpected happens—even if that something is positive, like adjusting to unexpectedly high demand.

Another advantage of reshoring is greater control over shipping costs. Bad weather, geopolitical uncertainty, port delays—that can all make shipping expensive and unpredictable. Reshoring pretty much eliminates that headache. The bottom line is that reshoring makes supply chains stronger and more flexible. Keeping production close means companies are better able to ride out the next pandemic, or weather a catastrophe, or cope with a new tariff, or whatever. You’re just on a more solid footing.

Don Nelson
Don Nelson, Senior Vice President of Operations, PRIDE Industries

EMN
Let’s take a deeper dive into logistics. Specifically, how does reshoring help companies reduce logistics and shipping costs, and why is this especially important in a high-tariff environment?

Don
First off, if a company wants to cut shipping and logistics costs, reshoring is one of the most effective moves they can make. Bringing production closer to your main markets saves on the long-haul freight bills—that’s about 20–30% savings on transportation alone. It also avoids the headaches that come with unpredictable shipping schedules, port delays, and customs bottlenecks. In a high-tariff environment, this is even more critical—by manufacturing domestically, you sidestep those hefty import tariffs that can eat into your margins overnight.

Shorter supply chains also mean a company can run leaner on inventory. With faster lead times, you don’t need to tie up as much cash in safety stock or oversized warehouses. Inventory strategies run across a spectrum, from just-in-case to just-in-time. Reshoring lets a company move closer to a just-in-time approach, which lowers warehousing costs and reduces the risk of excess or obsolete inventory.

Another reshoring plus: Domestic facilities can leverage advanced automation and smarter layouts, so you get more out of every square foot of warehouse space. And going back to tariffs—don’t forget about free trade zones. Companies can leverage FTZs to defer or maybe eliminate certain duties on imported components. FTZs are another tool in the toolbox, and these days, companies have to use every tool at their disposal.

EMN
In your experience, how does reshoring improve quality control and compliance with local regulations compared to overseas manufacturing?

Don
I always say that reshoring isn’t just about geography, and that’s especially true when it comes to things like quality and compliance.

When companies decide to reshore their manufacturing, they often see a big boost in quality control and regulatory compliance. Think about it—having production closer to home means you can keep a much closer eye on things. Instead of relying on reports and delayed feedback from overseas factories, you’re right there, able to spot issues early and take corrective actions quickly. That kind of hands-on oversight really cuts down on defects and keeps quality consistent.

Plus, reshoring makes compliance with local regulations way more straightforward. Local teams and subcontractors already know the ins and outs of the regulatory environment—they understand the standards and expectations already—so there’s less guesswork and fewer surprises. And being able to work directly with local subcontractors means that communication is smoother, another thing that helps ensure everyone is on the same page regarding compliance and quality standards.

All of this adds up to a manufacturing process that’s more transparent, agile, and aligned with both quality goals and regulatory demands. So, reshoring isn’t just about geography—it’s a smart move for tighter control and peace of mind.

EMN
For executives considering reshoring, what are the most common pitfalls to avoid, and how can they set their reshoring initiatives up for long-term success?

Don
One of the biggest pitfalls executives face when reshoring is underestimating the true complexity of the transition. It’s not simply a matter of moving production back home; local supply chains, labor availability, and regulatory requirements can look very different from overseas operations. Many companies also overlook hidden costs—like hiring or retraining their current workforce, qualifying new suppliers, or investing in automation. Any of these factors can erode the expected gains if not accounted for early.

Another common misstep is treating reshoring as a one-time tactical project instead of a long-term strategic shift. That mindset often leads to piecemeal investments rather than building a resilient, future-ready operation.

The organizations that succeed are the ones that approach reshoring holistically. They map the full supply chain, model total landed costs, and build strong relationships with domestic suppliers before committing to large-scale moves. They also invest in technology—automation, data analytics, and digitalized operations—to offset higher labor costs and ensure consistent output. Perhaps most importantly, successful companies align their reshoring strategy with broader business goals, whether that’s improving customer responsiveness, strengthening resilience, or accelerating innovation. Reshoring done right isn’t just about geography; it’s about creating a manufacturing system that can scale, adapt, and compete in the long run.

EMN
Is there anything else you’d like to add? Any parting words of advice for electronics manufacturers who want to reshore manufacturing?

Don
Tariffs definitely play a role in reshoring decisions, but if tariff concerns are the main reason you’re thinking of reshoring, think again. Tariffs can create short-term cost pressures and uncertainty, but executives need to think long term. For many companies, it’s hard to justify uprooting global supply chains solely on the possibility of future tariff volatility.

The reality is that there are a lot of other good reasons to reshore. And in my opinion, lead time reduction is at the top of the list—being closer to end customers means faster response to design changes and smoother alignment with just-in-time production models. Supply chain resilience is another factor. The pandemic, port bottlenecks, and geopolitical tensions underscored the vulnerability of overextended supply chains. There’s no question that reshoring is a way to mitigate these risks.

In addition, labor dynamics are shifting. The wage gap between traditionally low-cost regions and North America has narrowed, while automation and advanced robotics are offsetting higher local labor costs. Finally, customer expectations around sustainability and traceability favor shorter, more transparent supply chains. The bottom line is, while tariffs are a consideration, reshoring decisions are really about strategic flexibility, risk management, and staying competitive over the long term.

Reshore with a Partner You Can Rely On

At PRIDE Industries, our US-based, state-of-the-art facilities minimize your risk of supply chain disruption, optimize manufacturing and fulfillment processing, and provide flexible, on-demand inventory schedules. Partner with us to better manage the unpredictability of tariffs, component availability, and shipping costs—while meeting customer demand for products made in the USA.

This is Part Two of a two-part series on the benefits and best practices of applying AI to manufacturing. This blog outlines how to leverage AI in manufacturing. Read Part One here.

AI is reshaping every stage of the manufacturing process—from design and prototyping to sourcing and assembly. AI in manufacturing can accelerate product launches, enhance quality, improve supply chains, lower costs, and boost customer satisfaction. Embracing AI-driven advancements is critical if electronics manufacturers want to stay relevant in this rapidly evolving sector.

But how do executives transition beyond operational oversight and become strategic AI leaders? Below are nine best practices that will guide you through this important transformation.

Start with a Strategic Assessment/Plan

Through real-time collection and analysis of data, AI systems can provide manufacturers actionable insights, enabling rapid identification and resolution of issues before they escalate.

Before investing in technology, it’s critical to first step back and develop a plan. Identify where AI can deliver the most business value for your company. Are you seeking improvement in quality control? Are you struggling to accurately track your inventory? There are AI solutions available for almost any business process, so it’s important to focus your efforts and financial resources on the initiatives that best align with your company goals. For example, Intel’s strategic planning involves creating production optimization targets, which include minimizing yield loss and shortening time to market. Having a strategic plan allows Intel to prioritize its AI initiatives based on their potential to deliver measurable progress on these key performance indicators (KPIs).

Integrate AI in Manufacturing from the Design Phase

While AI in manufacturing can greatly improve the manufacture of electronics, you’re missing out if you don’t integrate AI from the very beginning, at the design stage. AI tools can be used for simulation, design rule checks, and generative design—a design approach where AI systems optimize design solutions based on your specific manufacturing requirements, constraints, and goals. Generative design can be an essential part of design for manufacturability (DFM), helping a company ensure manufacturability and product performance before making a substantial investment in a new product offering.

Using powerful algorithms, AI systems generate a wide range of design alternatives and help engineers identify the most efficient, cost-effective, and high-performance options. Once a design has been chosen, rapid prototyping can then help engineers efficiently test options while keeping costs under control.

Prioritize Smart Implementation

Before investing in full-scale AI integration, test the technology’s usefulness for your business by running a pilot program on a small, high-impact project. During this pilot project, make sure the AI tools you’ve chosen can deliver the performance you need. One way to ensure quality, for example, is to use AI models that provide clear explanations for their decisions. With transparent data, operators and engineers will more easily understand—and trust—AI-driven recommendations.

A smart implementation will also address cybersecurity and intellectual property protection. This protection has become increasingly difficult as IT teams face the formidable task of protecting proprietary data that’s stored across multiple devices: PCs, tablets, phones, Internet of Things (IoT) devices, the cloud, etc.  Each endpoint—i.e., any device that connects to a computer network—is vulnerable to attack by hackers. In fact, IBM reports that as much as 90% of successful cyberattacks originate at endpoint devices.

So, how can you protect intellectual property and other sensitive data?
  • Regularly update and monitor your systems: Stay on top of security by using intrusion detection and prevention systems (IDPS) to monitor your network.
  • Integrate Strong Access Controls and Segment Your Network: Access to critical systems should always be done with multi-factor authentication and role-based permissions. To prevent possible breaches, segment your information technology (IT) and operational technology (OT).
  • Develop an Incident Response Plan: Despite your best efforts, incidents can happen. Train your employees on best practices, including how to respond and recover in the event of a breach.
A man in a blue work smock and hair cover inspects a piece of equipment in a high-tech factory.
Before investing in full-scale AI integration, test the technology on a small, high-impact project.

Use AI-Driven Automation on the Factory Floor

AI-driven automation can provide efficiency and cost savings on the factory floor. For example, collaborative robots (cobots) can work alongside humans to assemble, solder, and inspect a PCB board. Furthermore, machine vision can provide real-time quality assurance and process control.

Foxconn, the world’s largest electronics manufacturer, has been experimenting with AI-powered robots. By embracing this innovation, they hope to improve efficiency, enhance product quality, and address labor shortages. Some of Foxconn’s AI-powered robots include advanced humanoid models developed with partners like UBTech Robotics and eBots. Using AI-driven decision-making systems, computer vision, and enhanced dexterity, these robots are able to precisely place tiny chips on a circuit board and perform delicate soldering tasks, among other intricate maneuvers. As an added bonus, the robots use real-time feedback to adapt to new production requirements and minimize human error.

Integrate Humans with Automation

Despite the rapid advance of AI in manufacturing, there are still some tasks that humans do better than existing technology. For this reason, it’s important to train employees to work alongside AI-enhanced automation technologies. And it’s especially important to maintain human oversight for critical operations and decisions, so that humans are ready to intervene when AI outputs are uncertain or require expert judgment.

One best practice is to establish a cross-functional AI steering committee to oversee your AI implementation. Be sure to involve your information technology (IT), operational technology (OT), and data science teams from the very beginning. By encouraging knowledge sharing between domain experts and AI specialists, you can craft specific AI solutions for your manufacturing processes. With a cross-functional team, you’ll be better able to collaborate and proactively address any challenges that arise.

Invest in Predictive Maintenance

For best results, encourage knowledge sharing between domain experts and AI specialists

It’s good to perform regular maintenance at scheduled intervals, regardless of a machine’s condition. But it’s even better to employ AI in manufacturing to receive real-time data from sensors and perform maintenance only when equipment actually needs it. In other words, while preventive maintenance is good, predictive maintenance is even better.

Electronics manufacturers can improve their predictive maintenance by focusing first on critical equipment (the most crucial or failure-prone machines); by collecting and analyzing data in real time; and by turning predictive insights into timely actions and strategies for continuous improvement.

Apple Computer is an example of a manufacturer that has fully embraced predictive maintenance and benefitted from it. Their equipment uses sensors to measure vital operational data like vibration, temperature, and pressure. The data is then analyzed by AI to spot any unusual changes that signal potential problems. Being able to predict when equipment is heading towards failure allows Apple to reduce unexpected downtime, cut repair costs, and keep manufacturing processes running smoothly.

Track the Metrics of AI in Manufacturing

To evaluate how AI in manufacturing is affecting the quality, efficiency, and cost effectiveness of your electronics manufacturing, you’ll want to track several important metrics. Be sure to get accurate baseline data so that you can compare pre- and post-AI implementation metrics. Here are a few ways that AI-enhanced systems should improve your metrics.

  • Defect rate: This metric measures the percentage of defective units produced. AI vision systems can be used at earlier stages of production to catch anomalies like misalignments or microscopic cracks before the product makes it to the end of the line.
  • First Pass Yield (FPY): As its name implies, this metric is for measuring the percentage of products that pass inspection on first review. By catching defects early in the production process, AI systems allow electronics manufacturers to achieve a higher FPY, leading to less rework.
  • Defects Per Million Opportunities (DPMO): This metric quantifies the number of defects per one million chances for a defect to occur. By analyzing DPMO, manufacturers can pinpoint specific failure modes and use AI systems to reduce defect opportunities through enhanced process control and precision.
  • Overall Equipment Effectiveness (OEE): OEE measures equipment utilization and efficiency. By enabling predictive maintenance and improving quality assurance, AI systems minimize equipment breakdowns and increase efficiency.
  • Cycle Time: This metric tracks the production time per unit. Because AI makes it easier for engineers to find optimal workflows, it helps reduce the time required to manufacture a unit of product.
  • Energy Consumption: The manufacture of electronics is an energy-intensive process. By using AI systems to analyze energy consumption, you can detect and rectify inefficiencies that waste energy.
  • Cost Savings: Investing in AI systems can be costly, but using AI in manufacturing should reduce both labor costs and material expenses.

By keeping track of these important metrics, you’ll know just how much you’re benefiting from your AI implementation, which can inform your decision on whether and when to expand your use of AI in manufacturing.

Optimize the Supply Chain with AI Analytics

AI doesn’t just optimize design and production. Its analytic capabilities are ideal in other areas that touch on manufacturing but aren’t necessarily part of production. For example, you can use AI to analyze market trends and help you determine which new product to develop. And AI-enhanced data analysis improves demand forecasting for your current products. Combined with IoT devices, AI lets you monitor stock levels in real time, so you can accurately predict potential shortages or surpluses, minimize waste, and prevent costly stockouts—significantly improving inventory management.

You can also mitigate your supply chain risk by continuously monitoring data from your suppliers, and so anticipate problems before they occur. AI systems can even monitor thousands of global news sources, enabling you to quickly identify supply chain risks as they arise and take pre-emptive action, like re-routing a delivery before it is delayed.

Harnessing AI for Continuous Improvement

Through real-time collection and analysis of data, AI systems can provide manufacturers with actionable insights, enabling rapid identification and resolution of issues before they escalate. AI-augmented workflows enable employees to better plan, execute, monitor, and act using real-time data.  Furthermore, this real-time data allows AI models to be regularly updated and retrained, leading to greater accuracy and easier adaptation to process changes, all of which supports and promotes a culture of continuous improvement.

For these reasons, electronics manufacturers are finding that AI is no longer optional—it’s a strategic imperative. To thrive, you must leverage AI across all your operations, from design to production to packaging and fulfillment. By adopting the best practices outlined here, operational leaders can position their organizations for long-term, AI-powered success.

A Contract Manufacturer You Can Rely On

PRIDE Industries combines decades of experience with a commitment to innovation. We’ll help you optimize your manufacturing operations through increased efficiency, improved quality, and efficient supply chain management. Invest in a smarter, more resilient manufacturing future by partnering with us for our full suite of end-to-end electronics manufacturing services.

This is Part One of a two-part series on the integration of AI and manufacturing. This blog focuses on the benefits of using AI for manufacturing. Read Part Two here.

Chatbots, virtual assistants, and in-home smart devices have made AI such a ubiquitous part of daily life that people are beginning to take it for granted. But what’s true for people isn’t always true for companies, and if your business isn’t taking advantage of AI for manufacturing as a catalyst for efficiency, innovation, and competitiveness, it’s at a disadvantage.

Artificial intelligence—at least in its most rudimentary form—has been around for 50 years. It was first used by electronics manufacturers in the 1970s in the form of computer-aided design (CAD) and computer numerical control (CNC) machines. Engineers used these early software-driven tools to create and modify product designs more accurately and efficiently. Over time, these systems became more advanced as they began to incorporate algorithms and machine learning.

By delivering continuous, accurate, and actionable insights in real time, AI transforms logistics monitoring from reactive to proactive.

Fast forward to this decade, and AI is far more advanced. Whereas traditional AI typically provides information or recommendations for action, a new form of AI, “agentic” AI, has systems that go further. Gartner, a global technology research firm, describes “agentic” AI as a new generation of artificial intelligence systems that work autonomously to achieve goals. These systems can plan, reason, and adapt—without the need for constant human interaction. And if granted the authority, they can even make decisions and execute tasks independently across complex workflows, business processes, and company departments. Gartner predicts that half of all cross-functional supply chain management systems will incorporate agentic AI by 2030.

Why AI for Manufacturing?

Electronics manufacturers are facing challenges across multiple fronts. Rapid advances in electronics are fueling a seemingly insatiable demand for components, and manufacturers are struggling to meet that demand due to labor shortages, complex supply chains, trade restrictions, and rising costs. In a survey of manufacturers conducted by IPC in the spring of 2025, 56% of respondents reported rising labor costs, and half reported rising material costs. In this challenging environment, traditional manufacturing methods are no longer sufficient. Fortunately, AI for manufacturing promises to bring greater efficiency and innovation to every stage of the manufacturing process, from design to delivery.

AI for Manufacturing Optimizes Design and Development

AI for manufacturing is transforming the creation of electronic devices. For example, engineers are now using AI generative design software to optimize configurations and component selection for PCBAs, and are discovering options that may not have been found using conventional methods. Unlike a traditional board design that relies on human engineers and electronic design automation (EDA) software to arrange integrated circuits and connecting traces, an AI-designed circuit board can deliver more computing power in a smaller, more energy-efficient form. This miniaturization is critical for creating electronic devices that are both powerful and portable. Dense PCBs are also essential for AI-based applications—including running software applications that optimize AI PCB design.

Product design is also benefiting from AI, as more and more engineers use AI-enhanced simulation tools to explore design options, optimize for attributes such as strength and weight, and accelerate product development. Altair, a maker of design simulation software, claims that engineers can explore designs 1000 times faster with embedded AI software than with traditional simulations. These designs can then be quickly refined through rapid prototyping, utilizing tools such as additive manufacturing.

AI for Manufacturing Improves Production Processes

In addition to facilitating design, AI can optimize production by automating many intricate yet routine production tasks, leading to greater efficiency. This can be seen, for example, in the management of robots and cobots (robots that work alongside humans).

In electronics manufacturing, one way that robots assist is in the coating and assembly of PCBAs. Industrial robots equipped with force and tactile sensors can outperform humans in placing delicate components precisely and quickly, speeding up the production of the finished product. Now, AI tools driven by machine learning algorithms can optimize these robotic processes, cutting excess motion and speeding up production even more. Some AI tools even allow for real-time process adaptation through data analytics on a massive scale.  

And it’s not just robots that benefit from AI’s ability to analyze movement and suggest efficiencies. Human ergonomics are also being optimized through AI-enhanced analysis. Using computer vision and AI-based pose estimation software, worker movement can now be assessed without the need for intrusive wearables. By tracking key joints such as shoulders, knees, elbows, and wrists, and analyzing the movements through a 3D-rendered skeletal model, AI systems are able to flag unsafe or static postures and repetitive motions, then make suggestions for improvement.

AI for Manufacturing Enables Predictive Maintenance and Equipment Uptime

Traditionally, manufacturers have maintained equipment on a just-in-case basis, irrespective of how heavily a piece of equipment is used. However, AI-driven analytics can enable manufacturers to maintain machines more accurately and cost-effectively by predicting equipment failures before they cause problems—or worse, shut down an entire facility. This approach, known as predictive maintenance, is fueled by data-gathering sensors that feed AI algorithms. Beyond helping a company optimize maintenance, AI tools can also provide manufacturers with a deeper understanding of the root causes of equipment failure.

A man in a hardhat and work overalls, holding a computer tablet, adjusts a setting on an industrial robot.
Predictive maintenance significantly reduces unplanned factory downtime, saving companies millions of dollars.

One company benefiting from AI-enhanced maintenance is Siemens, the global technology giant. Not so long ago, the company was facing significant challenges. Unplanned equipment downtime was leading to delays and significant financial losses; reactive maintenance strategies were incurring high costs; maintaining consistent product quality and worker safety was difficult; and energy usage was high. To solve these problems, Siemens increased the integration of AI for manufacturing—focusing on predictive maintenance, quality control, and energy efficiency—and was able to transform operations. New predictive maintenance strategies saved the company millions of euros annually by significantly reducing unplanned downtime, and smart energy management initiatives led to a 20% reduction in energy consumption across multiple facilities.

Enhancing Quality Control through AI

Electronics testing and inspection is essential to ensure a consistent flow of quality products. But testing can be expensive, and with traditional methods there is always the risk of human error. AI, however, can solve both problems. For example, as PCBAs move down an assembly line, sensors and optical scanners coupled with AI software can be used to check for defects such as missing components and soldering errors. These automated quality control systems can even remove a faulty board from the line or alert workers that a fix is needed by following a three-step process:

  • Image capture – Cameras take high-resolution images of the assembled PCB as it moves along the production line.
  • Deep Learning Analysis – These images are then analyzed by deep learning algorithms that have been trained on thousands, even millions, of examples—both good and defective. Deep learning enables the detection of patterns, anomalies, and defects that humans and non-AI machine vision systems often miss.
  • Decision Making – The AI system then decides if the inspected board is acceptable or defective.

One electronics manufacturer that has adopted AI-enhanced inspection is LG Electronics. The company had sought to scale production and develop more complex products, and found that their traditional inspection methods—which were prone to human error—weren’t sufficient. To address this issue, LG Electronics developed MAVIN-Cloud, a cloud-based AI quality inspection platform. It uses deep learning models to automatically inspect products and components throughout the various stages of manufacturing. Using the new platform, the development cycle for new quality inspection models was shortened by 50%, and the rate of false defect judgments dropped by 50% as well. An added benefit of the platform is that it allows for easy deployment and maintenance, even by employees with limited AI expertise.

Streamlined Supply Chain and Inventory Management

Electronics manufacturers aren’t limiting their use of AI to product design and inspection. Many companies have discovered that supply chain and inventory management also benefit from the quick data analysis and rapid calculations made possible by AI. For example, AI analytics can optimize stock on hand, improve supplier sourcing, and enable real-time logistics monitoring.

AI improves demand forecasting by analyzing vast amounts of historical data and market trends to fine-tune stock on hand. McKinsey estimates AI-driven demand forecasting can reduce forecast errors by 30% to 50%, reducing lost sales due to out-of-stock products by up to 65%.

Using data from IoT sensors, RFID tags, and cameras, AI systems can provide real-time inventory monitoring and management. Continuously collecting and analyzing data, these tools provide up-to-the-minute visibility into the status, location, and condition of products throughout the supply chain. AI helps automate the detection and resolution of issues, reducing manual intervention and speeding up problem-solving. By delivering continuous, accurate, and actionable insights in real time, AI transforms logistics monitoring from reactive to proactive.

AI also improves supplier sourcing. AI-enhanced software can evaluate delivery times, geopolitical risks, and supplier reliability. For example, AI programs may recommend switching from an overseas supplier to a domestic one when global circumstances change. A real-world example of using such data is Samsung’s AI-powered logistics platform. It analyzes 60,000 global news articles daily to spot supply chain risks as they arise. The system can even recommend actions to bolster supply chain security, such as choosing an alternate transportation route.

By analyzing thousands of global news articles daily, AI can spot supply chain risks as soon as they arise, allowing manufacturers to respond quickly.

Present-Day AI

Artificial intelligence is no longer a futuristic concept—it’s the present-day driver of modern electronics manufacturing. From optimizing design and production to intelligent supply chain management, AI can improve every stage of the manufacturing process. As the use of AI systems in manufacturing expands, so must strategic leadership. Executives must evolve beyond operational oversight and become strategic AI leaders, guiding their organizations through this technological shift. How? Stay tuned for part two of our series, where we’ll dive into best practices for successfully implementing AI in manufacturing.

A Contract Manufacturer You Can Rely On

Ready to optimize your manufacturing operations? With decades of experience and a strong commitment to innovation, PRIDE Industries can help you boost efficiency, quality, and supply chain performance. For a smarter, more resilient manufacturing future, partner with us for our full suite of end-to-end electronics manufacturing services.

For decades, many American companies based their electronics manufacturing overseas because of reduced labor costs, less expensive raw materials, and tax benefits. However, recent changes—such as increased shipping costs, fluctuating tariffs, rising costs of foreign labor, and delivery delays—have prompted many companies to pivot and actively search for a US PCB manufacturer.

Kearney, a global management consulting firm, has been tracking this reshoring activity for over a decade. Over the years they’ve seen a shift in CEO perception of reshoring from “cautious skepticism to unbridled enthusiasm.”  While their 2025 report saw a recent downturn in reshoring, the overall trend still indicates a strong desire to reshore. For example, the company’s 2025 research report documented a year-over-year increase of 15% in the share of CEOs planning to reshore at least part of their operations within the next three years. The reasons cited varied, but Kearney’s report also shows that politics are increasingly shaping supply chain strategy—there was a 50% rise in CEOs citing geopolitical tensions as a primary motivator for reshoring.  

But it’s not just geopolitical instability and tariffs that are giving CEOs reasons to reshore. Read on to discover seven reasons why American companies are coming home.

Avoiding Tariffs and Other Costs with a US PCB Manufacturer

An important factor in the drive to reshore are tariff policies that aim to incentivize domestic manufacturing, part of an effort to reduce trade deficits and protect national security. These policies have yet to stabilize, but it seems likely that once policies are settled, tariffs will remain higher than they have been historically. This is one reason why more manufacturers are rethinking overseas production.

The impact of fluctuating tariffs is being felt in many industries, including electronics manufacturing. It has become increasingly clear that the tariff rule of today may not be the tariff rule of tomorrow—making it difficult for manufacturers to accurately predict product pricing, material availability, and product demand. In fact, some experts contend that the market is changing too quickly to count on any single long-term plan, and so advise preparing for more than one possible outcome.

A 2025 report by Kearney, a global management consulting firm, found a year-over-year increase of 15% in the share of CEOs planning to reshore at least part of their operations within the next three years.

A large cargo ship, loaded with containers, at sea
In an era of continuing supply chain uncertainty, reshoring is often the most economically sensible option.

One way to prepare for uncertainty, of course, is to shift manufacturing to a US PCB manufacturer. This can significantly mitigate tariff fluctuations, and also reduce other variable expenses such as shipping costs. In the current climate, in addition to being the more stable path, reshoring is now often the most economical one.

More Control Over Production

Sending your PCB or semiconductor manufacturing overseas can make it harder to keep control of your product, especially since any disputes you have with your manufacturer will be handled in foreign courts. This is a lesson that shoe retailer New Balance learned the hard way when its Chinese manufacturing partner ignored orders from the corporate office and ordered materials for 450,000 new pairs of shoes, costing the company millions of dollars.

Though this cautionary tale is from the retail sector, it’s important to keep in mind that electronics manufacturers have their cases heard in the same courts. And as some U.S. companies have discovered, those foreign courts tend to side with domestic defendants.

Robust Intellectual Property (IP) Protection

Production decisions aren’t the only rights you may be giving up when manufacturing overseas. For electronics companies, the biggest risk may very well be the loss of hard-earned intellectual property (IP). In 2018, the United States Trade Representative conducted a seven-month investigation into China’s theft of proprietary technology and branding and found that these losses cost American companies between $225 billion and $600 billion annually.

American tech company AMSC is a case in point. The company designs and manufactures technology that enables wind turbines to run efficiently. In 2018, its Chinese partner Sinovel Wind Group was convicted in a Wisconsin federal court of stealing AMSC’s technology. But though AMSC won the case, there was little it could do to seek restitution. Today, about 20 percent of China’s wind turbines—approximately 8,000 units—are running on AMSC’s stolen software, though the company has never been compensated.

Companies need to remember that obtaining rights in the United States does not automatically confer rights overseas and that even if you register your patents and copyrights in China, IP enforcement is inconsistent. Companies that subcontract with American suppliers, on the other hand, can rely on a set of robust laws—and reliable enforcement—to protect their intellectual property.

Reliable Communication and Collaboration

Effective communication is critical to a successful working relationship with your PCB manufacturer. Language barriers, lax communication protocols, and time zone challenges are just a few of the communication hurdles companies face when working with an overseas manufacturer. (It’s hard to expect a quick response time if your urgent 3:00 p.m. email arrives in the middle of the night in your contract partner’s location.) Avoiding these sorts of challenges is critical if you want your design, engineering, and manufacturing teams to collaborate and produce a superior product.

Better Quality Control with a US PCB Manufacturer

A Consumer Reports survey found that 8 in 10 Americans express a preference for domestically made products and that these products are often assumed to be of higher quality than imported ones. This impression may be because, in general, American-made products must adhere to stricter quality control standards.

In addition to complying with stricter standards, domestic suppliers also make oversight easier for American companies. Facility visits and audits—essential for robust quality control—are more easily accomplished with a domestic partner who is only a short plane ride away.

Quality control is especially important in industries like aerospace and healthcare, where the impact on human life leaves no room for error. In these cases, a U.S. manufacturing partner skilled in design for manufacturability (DFM) and design for test (DFT) can make the difference between a consistent, reliable product and one that faces expensive recalls.

Faster Time to Market with a US PCB Manufacturer

Electronics manufacturers whose customers are primarily in the United States can save significant time in shipping and transportation by manufacturing domestically. This is good news for companies battling delivery delays—a common supply chain dilemma even years after the pandemic, when an IPC survey found that 69% of electronics distributors had experienced delivery delays averaging between three to six weeks. While conditions have improved, global conflicts and natural disasters continue to inject uncertainty into the supply chain.

Being geographically close to customers can also accelerate the time to market for new features and designs, making it easier for a US PCB manufacturer to adjust to shifting customer needs in real time. This advantage is especially valuable in the electronics industry, where both the preferred electronic components and customer requirements can change quickly.

Two engineers, a woman and a man, standing in a glassed-in conference room, looking at a laptop computer the woman is holding
Engineers with a DFM background can help you improve your design to eliminate the need for custom processes, lowering both labor and material costs.

Improved Supply Chain Resilience

A desire to lower costs was one of the original motivations behind offshoring. But now, the stability of domestic production often makes reshoring the more economically sensible option—especially in an era of continuing supply chain uncertainty. For example, companies can run a leaner operation when they aren’t required to tie up extra capital in large inventories “just in case” there are manufacturing delays or shipping disruptions.

And the benefits of domestic production go beyond shipping stability. Keeping production close to home also reduces sourcing issues and can increase your company’s ability to respond quickly to market changes—especially if you partner with a US PCB manufacturer that prioritizes DFM.

A DFM partner can help you improve your design to eliminate the need for custom processes, lowering both labor and material costs. And if a crucial component suddenly becomes unavailable, a DFM-savvy manufacturing partner will be able to redesign your board using readily available parts.

Qualities to Look for in a US PCB Manufacturer

There are multiple reasons companies are bringing their PCB manufacturing closer to home. But that doesn’t mean you need to manufacture in house. Many original equipment manufacturers (OEMs) are turning to contract electronics manufacturers as they seek to reset their global supply chains. However, even with domestic production, companies must still practice due diligence when choosing a contract manufacturer. Below are a few qualities to keep in mind when vetting manufacturing partners.

Experience and Expertise

Is your US PCB manufacturer experienced in surface-mount technology and through-hole manufacturing? Are your vendor’s designers familiar with a variety of design tools, including CAD and schematic capture software?

Certifications and Compliance Experience

A review of certifications will quickly reveal a manufacturer’s abilities. At a minimum, facilities should be ISO 9001 certified. And depending on your industry, look for specialized certifications like ISO 13485 for medical manufacturing, or AS9100 for aerospace and defense. Remember, too, that working with a manufacturer that employs SMTA-certified SMT Process Engineers will give you extra assurance that it has the staff to handle even complex devices.

Quality Control

Does the manufacturer conduct component-level checks and in-circuit verifications in addition to visual inspections? Is the manufacturer using the latest in automated optical inspection (AOI) technology—as well as 2D and 3D X-ray inspection—to ensure durability, reliability, and quality?

Expanded Capabilities and Resources

Does the manufacturer have the ability and capacity to go beyond manufacturing? For example, do they offer design services, procurement and materials management services, forecasting and capacity planning, and logistics services? What about real-time tracking so that you can avoid product shortages or overstocking? Having a contractor that can provide multiple services will add convenience, save time, and lower costs.

An Increasingly Attractive Option

The shifting landscape of global manufacturing has made reshoring an increasingly attractive option for American companies, particularly in the electronics sector. From mitigating the impact of unpredictable tariffs and shipping costs to safeguarding intellectual property and ensuring superior quality, the benefits of partnering with a US PCB manufacturer are clear. Domestic production not only fosters stronger communication and collaboration with suppliers, but also enhances supply chain resilience and speeds time to market—critical factors in today’s fast-paced, innovation-driven economy.

An Electronics Manufacturing Partner You Can Rely On

At PRIDE Industries, our US-based, state-of-the-art facilities minimize your risk of supply chain disruption, optimize manufacturing and fulfillment processing, and provide flexible, on-demand inventory schedules. Partner with us to better manage the unpredictability of tariffs, component availability, and shipping costs—while meeting customer demand for products made in the USA.