China, Suppliers

Global 3PL Kerry Logistics utilizes Koolbotic to operate cold F&B supply chain

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Photo Credit: Kerry Logistics

Koolbotic is added to the chilled-food product sorting process to support staff and increase ease of operation through selective automation and collaborative robotics

Asia-based, global 3PL, Kerry Logistics Network Limited is utilizing robotic arms in its F&B operation to boost sorting efficiency and raise accuracy. Kerry Logistics Network has named the robots “Koolbotic” as part of the Company’s ongoing efforts to increase automation in its operations to enhance productivity. Koolbotic is installed in the regional distribution center that Kerry Logistics Network has been managing for one of the UK’s leading retailers in Hong Kong since 2011.

Adopted to handle large volume of chilled-food products in a low-temperature environment and with a relatively short lead time to market, Koolbotic is able to work 20-hour shifts and raises sorting productivity by 20%. Essentially collaborative in nature, Koolbotic also supports warehouse staff as it can endure freezing conditions which would be detrimental to humans for a prolonged period, in doing so safeguards the health and safety of staff members.

Kerry Logistics Network’s operation has become increasingly automated amid the pandemic when human contact is minimized in the sorting process. Kerry will further leverage the benefits of technological advances like robotics to bolster productivity as well as to improve the working conditions of our people through selective automation and collaborative robotics. The company is anticipating installing more cobots in logistics centers to take operations to the next level.

Kerry Logistics Network is committed to providing its customers with the latest technologies to support the digitalization of the supply chain with end-to-end visibility. Its R&D department has been constantly reviewing and implementing the latest technology developments, including blockchain, Internet of Things, artificial intelligence and machine learning.

 

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