Instabee Group has been granted a patent for a proprietary machine learning solution that enhances the precision and efficiency of the company’s sorting processes. The new technology makes it possible to determine in real time the smallest possible locker space in which a shipment can be placed, a challenge that is particularly pronounced with bags, whose shape and volume can vary significantly.
Since each locker consists of multiple compartments of different sizes, selecting the right compartment for each package is crucial. By training the sorting machine to accurately predict the smallest suitable compartment, Instabee can use space in its parcel lockers far more efficiently, saving resources, increasing capacity, and improving workflow for both customers and terminal teams.
Using advanced algorithms, the system analyzes data from the sorting line and makes automatic decisions that were previously made manually—but with far less precision.
- Innovation is part of our DNA. This patent demonstrates how we use technology to make every step of our process smarter, faster, and more resource-efficient, says Staffan Gabrielsson, Chief Technology Officer and inventor at Instabee Group, continuing:
- Determining the right compartment size for soft bags is often challenging even for the human eye. By applying machine learning, we can significantly increase precision, make better use of our parcel lockers, and create an even smoother customer experience.
The solution is already implemented in several of Instabee’s terminals and will be gradually scaled up throughout 2026.
Instabee Group, with consumer-facing brands Budbee, Instabox, and Porterbuddy. Today, Instabee Group is present in six markets, serving thousands of online merchants and millions of consumers with easy home deliveries or convenient parcel locker deliveries, using the best fuel available. With smart tech, a focus on the environment, and a secure supply chain, Instabee has become the key partner of online merchants and the obvious choice for end-consumers, backed by notable investors such as Kinnevik, Creades, and EQT Ventures, among others.