Refurbished
08
Jul
2025
5
min read

In favor of robotic processing enhanced by human expertise

While much of the refurbished smartphone industry embraces automation, French refurbisher REBORN takes a different path, as previously reported by SecondaryMarket.news. At its new facility in Nice, every step, from diagnostics, repair, to grading, is carried out by skilled technicians who rely on their hands, eyes, and expertise rather than sensors or algorithms. REBORN believes human judgment detects what machines often overlook, such as audio distortion or minor wear. This hands-on approach builds trust, ensures consistent quality, and keeps waste to a minimum making REBORN a standout in an increasingly automated sector.

While REBORN champions human craftsmanship in electronics refurbishment, the global industry is rapidly shifting toward automation. In the U.S., an estimated 85% of used devices are now processed by automated systems setting new standards for efficiency, scalability, and technological innovation. To gain perspective on REBORN’s manual approach, we spoke with Fergal Donovan, a seasoned expert with over 20 years in the mobile device sector. Having previously managed large-scale manual facilities across Europe, Fergal Donovan now runs an independent, fully automated robotic processing center in Germany, powered by Apkudo’s advanced technology. His move to automation reflects the clear operational, technical, and strategic advantages outlined in this article.

Precision and consistency at scale

Automation in electronics refurbishment offers unmatched precision, consistency, and scalability advantages that are increasingly difficult to ignore as the industry evolves. Automated systems perform functional diagnostics with microscopic accuracy, testing thousands of devices per day without fatigue. Unlike human technicians, who can be affected by tiredness or ambient distractions, robots deliver consistent quality and reduce the risk of error.

Seeing what humans can’t

Today’s automation technologies are so advanced that they can identify defects invisible to the human eye. These systems don’t just follow pre-set routines; they adapt and evolve, learning from every device tested. This allows them to flag problems even experienced technicians might overlook.

Audio testing in noisy environments

One compelling example is audio testing in refurbishment warehouses, where background noise from machines and human activity makes it hard for technicians to assess speaker quality accurately. Automated systems solve this by operating in soundproofed enclosures with calibrated microphones and speakers. These controlled setups detect the slightest audio distortions or frequency imbalances, subtleties human ears often miss in open, noisy spaces.

Speed, diagnostics, and continuous improvement

Automated tools also conduct advanced diagnostics by analyzing real-time performance data, identifying issues such as touchscreen latency or sensor drift. What might take a technician several minutes per device, automation can achieve in seconds—critical for companies processing large volumes while maintaining top-tier quality control.

Cosmetic grading: AI brings objectivity and speed

Cosmetic grading is often seen as a subjective task, but AI-powered vision systems are changing that:

  • Objective assessment: AI systems use high-resolution cameras and machine learning models trained on thousands of examples to detect scratches, dents, discoloration, and wear. This eliminates human bias and inconsistency. People are naturally biased and will not evaluate consistently. Research completed by Apkudo working with several businesses round the world show that manual accuracy compared to a robotic grade is only correct 60-70% of the time. Customers using automation, such as Apkudo, get more than a pass or fail determination without context. Apkudo provides insights that show why the device failed, so the decision-makers can precisely and quickly determine what needs to be done to recover the device to a higher standard.
  • Repeatable standards: Unlike manual grading, which can vary between technicians or locations or even the day of the week, AI systems apply the same criteria every time ensuring uniformity across batches and geographies.
  • Speed and documentation: Automated grading can be completed in seconds and paired with visual documentation, giving customers transparency and confidence in the product’s condition.
  • Multi-profile adaptability: Today’s systems can be trained to match specific retailer or marketplace grading standards (e.g., “Grade A,” “Very Good,” etc.), making them highly flexible.

The human touch: still essential

Despite the dominance of automation, human interaction with automation remains essential to maximise its potential Human involvement remains crucial in electronics refurbishment, offering judgment and adaptability that machines can’t replicate. Technicians make nuanced decisions that go beyond binary diagnostics, such as assessing whether a cosmetic flaw affects usability or resale value. They also play a key role in training, calibrating, and overseeing robotic systems, ensuring these tools adapt to new devices and shifting quality standards. In premium refurbishment segments, where perception heavily influences customer satisfaction, human-led quality control fosters trust and confidence.

When devices present unexpected or complex issues, it is often human problem-solving and creativity that deliver effective solutions. However, managing large manual teams comes with its own challenges. Holidays, sick leave, staff turnover, and ongoing training needs can disrupt operations and affect consistency. Recruiting and onboarding new technicians is a constant effort, requiring time and resources. Despite these hurdles, human input continues to be essential to the balance between quality, flexibility, and customer satisfaction.

Conclusion: a hybrid future

The U.S. market’s success with automation shows what’s possible when robotic systems are fully embraced, a trend that is now growing quickly in Europe. But the most effective model isn’t purely robotic—it’s hybrid. Robotic processing delivers speed, scale, and precision. Human expertise brings intuition, empathy, and adaptability. Together, they create a system that is not only efficient but also deeply reliable and customer focused.

Interested in the global market for used electronics?

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