Interko accelerates ripening digitalization with RipePilot system, prepares for AI-assisted future
Looking ahead, Interko expects AI to play an increasingly central role in the global fruit ripening industry.
NETHERLANDS – Ripening room specialist Interko is pushing ahead with digital transformation by integrating advanced data processing and preparing to incorporate artificial intelligence across its next-generation ripening solutions.
The company’s RipePilot control system now collects and processes larger and more complex datasets, providing an increasingly accurate picture of the ripening process.
Managing director Chris Maat explained the shift. “Ripening has become a data-driven, digitally managed process rather than a traditional experience-based craft. Through digitalization, our customers can optimize fruit quality, achieve specific ripeness levels, reduce energy costs, and gain the crucial insights needed to operate more precisely and proactively – using data to go well beyond daily room management.”
By interpreting information from multiple sensors measuring temperature, carbon dioxide, ethylene, and humidity, RipePilot gives ripeners greater precision and more data-driven control.
Additionally, the system allows operators to apply fruit-specific programmes for bananas, avocados, and mangoes, ensuring every batch reaches desired ripeness even when starting conditions vary significantly.
Case in point is the African markets, where cold chain infrastructure can be inconsistent, predictive ripening technology addresses key logistical challenges. When fruit arrives at varying maturity levels due to transport delays or temperature fluctuations, data-driven ripening systems adjust protocols to compensate, reducing losses and delivering uniform quality.
Traditional ripening methods rely heavily on operator experience, with manual monitoring and adjustments. By contrast, RipePilot has evolved into a digital intelligence platform that connects sensors, algorithms, and performance data to transform ripening operations.
Looking ahead, Interko expects AI to play an increasingly central role in the global fruit ripening industry.
“AI-assisted ripening combines human expertise with machine precision. It’s an intermediate step toward fully automated ripening, supporting more proactive and predictable management of fruit quality,” Maat said.
To power its AI-assisted ripening strategy, Interko is developing intelligent algorithms that will help global operators move from reactive control to predictive, real-time decision-making.
“By combining smart hardware, connected data, and intelligent algorithms, we’re shaping the future of fruit ripening. Our technology is designed to empower customers to achieve more consistent results, reduce waste, and adapt faster to market demands,” Maat added.
Future product development at Interko will focus strongly on digital innovation, including a next-generation ripening room cooler that lays the foundation for further AI-driven functionality.
The shift toward automated ripening solutions combines human expertise with machine accuracy, modernizing the supply chain from port to retailer.
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