Description

The aluco STRIX system is a comprehensive solution designed to optimize logistics processes. It combines state-of-the-art technologies in the areas of freight measurement and automated dispatching to help companies make their processes more efficient, cost-effective & sustainable.

Freight measurement enables precise recording of consignment data through the use of stereo and 2D/3D cameras. In addition to the classic calculation of dimensions, it offers functions such as image documentation, incoming and outgoing freight scanning and the automatic recognition of warning labels and europallets.

The second system component is based on the data collected: Automated dispatching. It uses not only the recorded shipment information, but also recipient and package-specific data to plan the optimal allocation of shipments to vehicles. The aim is to use intelligent route planning to reduce fuel consumption, deploy and utilize vehicles more efficiently and thus reduce costs and CO₂ emissions.

The aluco STRIX system supports the digital transformation and sustainable optimization of logistics processes. It is aimed for companies that want to increase their efficiency, reduce costs and make a contribution to sustainability at the same time. Whether in general cargo logistics, intralogistics or other areas – the system is flexibly adaptable and offers measurable added value along the entire supply chain.

Innovations

The freight measurement system sets new standards with its on-the-fly technology: It captures the packages in motion – without interrupting the process. But we have gone one step further: By using artificial intelligence, the system learns continuously and can generate additional added value from the captured image data. This enables functions such as dangerous goods recognition, europallet recognition and the visualization of packages, which further optimizes the logistics process.

In the area of automated dispatching, aluco STRIX offers maximum flexibility and can be individually tailored to the customer’s requirements and challenges. Different disposition strategies enable customized planning. As a backend product, it integrates seamlessly into existing transport planning systems, making it very easy for dispatchers to accept and use.

Another key innovation is the integrated data cleansing, which ensures that all relevant information is available in the highest quality. This creates the ideal basis for activating the machine learning algorithm and continuously increases the accuracy and efficiency of dispatching. The system combines innovation, user-friendliness and adaptability for maximum logistics performance.

Market relevance

aluco STRIX is particularly relevant for the freight forwarding market, which plays an important role in transportation worldwide. There are around 15,000 freight forwarding companies in Germany and almost 100,000 worldwide. These companies are mainly active in local and long-distance transportation and represent a large target group for the aluco STRIX system. In Germany alone, the market (TAM) for freight forwarding companies is worth around 8.5 billion euros.

The effectiveness and efficiency of the freight measurement system also opens up new markets in intralogistics and air freight, where it is also used. The ability to precisely record freight data and optimize processes in real time based on this data is also of great importance for these sectors.

The continuous development of automated dispatching is also opening up new areas of application. The technology is now being used in local public transport and by shippers, who also benefit from precise and data-driven planning. The expansion into different markets demonstrates the product’s potential to establish itself in a wide range of sectors with growing demand and thus leverage further market potential.

Customer benefits

The freight measurement system offers a wide range of benefits that significantly improve the user’s logistics processes. The optimization of freight data and the collection of other important planning data, such as dimension data calculation and object recognition, enable precise and comprehensive planning. The additional information increases data quality, which is further supported by the data cleansing module. This high-quality database is crucial for activating the learning algorithm in automated dispatching and leads to better planning and resource utilization.

The central goal is to increase vehicle capacity utilization, which leads to a reduction in CO₂ emissions and improved sustainability of logistics processes. In addition, the automation and integration of artificial intelligence optimizes processes and reduces costs. Manual work can be minimized and efficiency increased.

The reduction in manual work not only helps to increase productivity, but also has a positive impact on employee satisfaction, as recurring, time-consuming tasks are eliminated. This promotes employee loyalty and a positive working environment. Overall, the implementation of aluco STRIX leads to a significant increase in efficiency, sustainability and employee satisfaction.