Case

Automated packaging using computer vision and machine learning

Consid was commissioned to develop an intelligent packaging solution that combines computer vision, machine learning and robotics. The result was an automated system that adjusts each package according to the product’s shape and size. The solution supports sustainability, increases efficiency and delivers a smoother customer experience within e-commerce.

About the client

The client is a leading provider of automated packaging systems that help e-commerce businesses reduce waste, streamline logistics and save resources. With the company’s technical solutions, each package can be automatically tailored to the product’s actual size. In this way, every delivery is optimised, generating both environmental and economic benefits for customers around the world.

Technology shift for smarter order management

Consid was commissioned to develop a new technical platform for automated packaging based on real-time analysis of customer orders. The solution was designed to combine computer vision, machine learning and robotic control to create the right packaging for each order. The system also needed to be integrated with the e-commerce platform’s backend to enable a fully automated flow – from order to ready-packed delivery.

Vision-based automation with business-critical precision

The team developed an intelligent software solution that integrates cameras, computer vision and machine learning to analyse the shape and volume of products. The system then automatically determines how each package should be designed, allowing the robot to adjust the dimensions of the box accordingly. The solution was adapted to the client’s existing business systems for seamless order management and minimal manual handling. Through close collaboration, Consid and the client created a robust, scalable solution that combines high technical precision with operational reliability.

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More efficient logistics, less waste and happier customers

The new solution has streamlined the packaging process and significantly reduced material usage. Ensuring the right size for each package has led to lower transport costs, reduced environmental impact and a smoother customer experience. The project has shortened lead times, while automation has freed up resources and created opportunities for new, innovative solutions.

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