Company aims for further differentiation with roll out of data-driven control and predictive technology
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.
It said the move is set to reshape global fruit ripening, giving operators greater control, better decision-making, and systematic performance improvement as they prepare for an AI-assisted future. “Above all, the ability to proactively manage the ripening process is delivering enhanced precision, adaptability, and cost efficiency,” Interko said.
Digital transformation represents the latest innovative step in the Dutch company’s development of smart technologies, enabling fruit ripeners to better adapt to a rapidly changing world market.
Managing director and partner Chris Maat commented: “Ripening has become a data-driven, digitally-managed process rather than a traditional experience-based craft. Through digitalisation, our customers can optimise 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”.
Thanks to a new digital data network, Interko’s RipePilot control system can now collect and process larger and more complex datasets, consistently. This provides an increasingly accurate picture of the ripening process, thereby expanding the understanding and capabilities of operators.
By interpreting information from multiple sensors measuring temperature, carbon dioxide, ethylene, and humidity, RipePilot gives ripeners greater precision, increased flexibility, and more data-driven control than ever before. The advanced data processing is driving continuous improvements in fruit ripening, and closer alignment with diverse customer expectations.
Maat said: “Buyers expect specific ripeness profiles across different fruit categories according to whether the end market is fresh, processed, or frozen. RipePilot allows operators to apply fruit-specific programmes for bananas, avocados, and mangoes, and the system’s data-led approach ensures that every batch reaches the desired ripeness, even when the starting conditions of the fruit vary significantly.
“RipePilot has evolved into a digital intelligence platform that connects sensors, algorithms, and performance data to transform ripening operations worldwide. It enables operators to automate quality monitoring, track performance, and generate exportable reports for analysis, and this is becoming central to modern ripening operations”.
Looking ahead, Interko said it expects AI to play an increasingly central role in supporting the global fruit ripening industry. By analysing datasets from large numbers of rooms, intelligent algorithms will increasingly aid decisions such as ethylene injection timing, predicting condition changes, and optimising ripening cycles in real time.
Maat commented: “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”.
To power its AI-assisted ripening strategy, Interko is developing intelligent algorithms that will help global operators to move from reactive control to predictive, real-time decision-making and increasing automation.
“By combining smart hardware, connected data, and intelligent algorithms, we’re shaping the future of fruit ripening,” Maat explained. “Our technology is designed to empower customers to achieve more consistent results, reduce waste, and adapt faster to market demands.”
He said future product development at Interko will focus strongly on digital innovation, including a next-generation ripening room cooler launching soon that lays the foundation for further AI-driven functionality and digital process control.
