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Gideon develops case-picking robot
- May 31, 2022
- Steve Rogerson
Croatian AI company Gideon has introduced Casey, an autonomous case-picking and process optimisation robot.
Casey includes the company’s autonomous mobile robots with a load capacity of 1000kg, powered by Gideon’s proprietary autonomy stack and equipped with a simple picking application. It uses software that optimises the workflow of people and robots for increased productivity and enables quick integration with warehouse management systems and smart devices.
This can help companies manage labour shortages and surging ecommerce demand by automating and optimising manual case picking. The rise of ecommerce, due to its higher labour intensity and customer expectations, is a signal that automation can be key to sustainable growth. Statista data, for example, point to a 50% rise of ecommerce to $7.4tn worldwide by 2025.
Casey is a complete case-picking system, pairing Gideon’s flexible, AI and vision-based autonomous mobile robots and optimisation software. It brings people and robots into an intelligent partnership, increasing throughput and productivity by removing inefficient workflows, costly infrastructure and scalability bottlenecks. It can eliminate product and equipment damage costs and reduce labour costs by up to 40%.
“We are proud to announce the new addition to our product family,” said Josip Ćesić, Gideon CTO. “The traditional case picking is an entirely manual process, and it comes with high cost, low safety and limited scalability. We bring a new way to solve the old problem: enabling people and robots to collaborate closely and create more value by working together in an optimised way.”
Casey brings value by creating a measurable impact on multiple levels. It reduces costs and increases throughput and productivity by optimising robot and people workflows, reducing in-aisle walking, and improving pick rate and accuracy. It provides real-time operations visibility, helping cut unplanned production downtime. And, finally, it’s easy to deploy and scale up or down with little impact on the existing infrastructure and workflows.