AI-based transport logistics: How Krones changes the future of beverage machines transport

Bavarian world market leader Krones relies on artificial intelligence for more sustainable industrial plant logistics

The beverage machine construction industry faces AI technological changes. The Bavarian machine builder Krones, a world market leader from Neutraubling, sets new standards through the innovative use of artificial intelligence in transport logistics. This groundbreaking technology not only promises significant cost savings, but also a significantly improved environmental balance in the promotion of complex industrial plants.

The challenge: irregular freight pieces in transport logistics

The beverage machine construction brings unique challenges. Krones AG, a group of MDAX, with its headquarters in Neutraubling near Regensburg, produces highly complex systems for the entire value chain of the beverage industry. The company, founded in 1951 by Hermann Kronseder, developed and manufactures machines for product production, bottling and packaging of drinks in PET and glass bottles as well as beverage cans.

The product portfolio includes an impressive bandwidth: from stretching wind machines for PET bottles with services from 12,800 to 100,000 bottles per hour to rins, filling and locking machines in the tour concept to complete brewery equipment. This variety of machine types and sizes leads to a special challenge in transport: the machines have extremely irregular dimensions that require individual transport planning.

Traditionally, these complex packages were measured manually - a time -consuming and error -prone process. Especially for machines with dimensions over a height of two meters, width or length, the precise recording of the dimensions is particularly difficult. Even the smallest measurement opportunities can have expensive consequences: excesses lead to new orders of special pallets, cause additional costs and temporal delays in the entire supply chain.

The importance of precise measurement becomes particularly clear when you consider that Krones works worldwide and has an export share of almost 90 percent. Every day, millions of glass bottles, cans and PET containers go through a Krones system. As a system supplier, the company equips breweries, beverage fillers and food producers all over the world - both with single machines and with complete production facilities.

The technological solution: AI-based 3D measurement

The answer to these challenges lies in the innovative combination of artificial intelligence and the latest measurement technology. Krones relies on a revolutionary system that connects Lidar technology (Light Detection and Ranging) with AI-based data processing.

Lidar technology: precision by light

Lidar technology forms the heart of the new surveying system. This remote sensing technology uses laser light to measure distances and create detailed three -dimensional maps of the area. The basic principle is based on the so -called “flight time”: fast laser pulses are sent in the direction of a target area, and the time that the light needs to be thrown back is measured.

At Krones, the packages are digitally measured with several Lidar cameras in parallel to the weighing process. These send out light impulses and measure the time that the light needs to return. In this way, synchronous, high -precision three -dimensional images of the packages are created from different perspectives.

The advantages of lidar technology are impressive: it enables previously unmatched measurement accuracy and also works under difficult conditions such as poor lighting conditions. In addition, data acquisition takes place much faster than with conventional methods, which increases efficiency and shortens the project time.

Edge Computing: Intelligent data processing on site

A crucial component of the Krones solution is local data processing using Edge Computing. Edge-KI describes the use of artificial intelligence on local servers or devices, in contrast to central processing in cloud data centers. This technology enables reactions in real time, improved data protection and clearly optimized cost efficiency.

At Krones, the 3D data obtained are processed via Edge Computing data-saving directly on site on a platform specially developed for AI applications. This brings with it several crucial advantages:

The processing time is drastically reduced because no data transmission to removed cloud servers is required. The amount of data to be transmitted is minimized, which lowers costs and at the same time increases system efficiency. In addition, the risk of data loss or compromise is reduced because confidential data does not reach the outside world.

Computer Vision and AI Vision: Intelligent image recognition

The combination of lidar technology with advanced computer vision, often also referred to as AI Vision, enables a completely new quality of object recognition. Computer Vision refers to the connection of visual information with software applications, while AI Vision also uses tailor-made machine learning models.

This technology is able to recognize and evaluate complex patterns, shapes and anomalies in image data. When used in the Krones measurement system, neural networks with a large number of images are trained in order to identify different machine types and configurations and to determine their dimensions precisely.

Computer vision is implemented for new systems and in the context of retrofitting of existing systems, whereby often does not have to be intervened in ongoing operation. This enables flexible and inexpensive introduction of technology.

Economic and ecological benefits

The introduction of AI-based 3D measurement at Krones brings with considerable advantages in various areas. Elisabeth Hölzl, Head of Corporate Logistics Processes at Krones, emphasizes the diverse positive effects: “By using AI-based measurement technology, we will have the option of significantly increasing the accuracy and speed of our packaging processes in the future. This leads to an optimized utilization of the transport capacity and significant cost savings. become".

Cost optimization through precise pallet selection

One of the most important economic advantages is to optimize the pallet selection. The exact measurement of the machines can be selected precisely special pallets for transport. This precision eliminates the need for re -orders due to measurement errors and thus reduces both the direct costs and the time delays in the supply chain.

Special pallets for mechanical engineering can have loads of up to 5,000 kilograms and are specially designed for the safe transport of heavy machines, devices and systems. The precise selection of the right palette not only contributes to reducing costs, but also ensures safety during transport.

Reduction of measurement expenses

The automation of the measurement process leads to a significant reduction in manual effort. While in the past employees had to measure each machine individually and personally, this is now fully automatic during the regular weighing process. This enables more efficient use of personnel resources and reduces throughput times in the shipping process.

Reducation of losses

Measurements can lead to considerable loss of failure in transport logistics. If machines cannot be transported properly due to incorrect dimensions, costs arise from delays, new planning and possibly necessary improvements. The AI-based measurement minimizes these risks due to its high precision and reliability.

Improved environmental balance

The ecological advantages of the new technology are particularly remarkable. The optimized transport planning can reduce empty trips and to improve the utilization of the means of transport. This leads to a direct reduction in CO₂ emissions per machine unit transported.

Studies show that AI-based optimization algorithms can typically implement savings of five to 15 percent in transport logistics. On average truck tour in local transport with five tons of charging and a distance of 200 kilometers, around 73 kilograms of CO₂ are created. Conservative savings of ten kilometers per tour corresponds to a reduction of around four kilograms of CO₂.

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The role of Deutsche Telekom as a technology partner

The innovative survey solution is implemented in cooperation with Deutsche Telekom. Klaus Werner, Managing Director of Business Customers Telekom Germany, underlines the importance of this partnership: “Ki enables us to quickly record data and flexibly evaluate. With precise 3D object acquisition via AI Vision, we set new standards in production and transport and show the potential of AI applications for more transparent, cost-effective and future. Logistics chain ”.

Klaus Werner, born in 1968, took responsibility in October 2023 as managing director of business customers at Telekom Germany. With almost 30 years of experience in various management positions within the group, he has extensive expertise in digitization and implementation of innovative technology solutions.

Deutsche Telekom has been working with artificial intelligence for many years and is developing solutions for private and business customers with strong partners. The company strives for a leading role in the use and provision of AI for the benefit of society, the economy and the company.

Safe AI solutions “Made in Germany”

A special focus of Telekom is on the development of safe and trustworthy AI solutions. AI systems are operated in German data centers and strictly according to the requirements of the General Data Protection Regulation. The solutions are checked according to the AIC4 criteria (Artificial Intelligence Cloud Services Compliance Criteria Catalog) of the Federal Office of Security in Information Technology.

These security standards are particularly important because sensitive corporate information is often affected when processing transport data. With its “Ki Made in Germany” strategy, Telekom guarantees that data protection and ethical guidelines are observed.

Technical integration and user -friendliness

A crucial success vehicle from the Krones solution lies in its seamless integration into existing processes. The 3D measurement technology was developed as a usable building block that simply fits into the established logistics processes of Krones and its service providers.

Modular structure for flexible application

The measurement system follows a modular concept that can cover different machine types and sizes. Similar to other Krones products, for example the Varioline packaging street, which can process over 20 different packaging combinations on a machine, the measurement solution for maximum flexibility was also designed.

The modular design enables the system to adapt to different requirements and expand if necessary. This is particularly important because Krones produces a wide range of machines, from small special devices to complete production lines.

Real -time processing for optimized processes

The implementation of Edge Computing ensures that the measurement data can be processed and evaluated immediately after recording. This enables an immediate determination of the optimal transport configuration and reduced waiting times in the shipping process.

Real-time processing is particularly important in industrial production, where quick decisions about production and logistics processes have to be made. The local processing can achieve response times of a few milliseconds, which enables seamless integration into automated manufacturing processes.

Cross -industrial importance and future prospects

The solution developed by Krones has potential for far -reaching applications beyond the beverage industry. The challenges of transporting irregular freight pieces concern many mechanical engineering industries and industrial production.

Transferability to other branches of industry

The combination of lidar technology, AI-based data processing and Edge computing can be used in various areas. Especially in the automotive industry, plant construction and in the heavy industry, similar solutions could cause significant improvements in transport logistics.

The technology is also suitable for other applications in the field of quality control and automated inspection. Computer Vision and AI Vision are already used successfully in production to recognize defects in real time and to ensure quality standards.

Development trends in AI-based logistics

The logistics industry is currently experiencing a comprehensive transformation through the use of artificial intelligence. In addition to 3D measurement, AI technologies are used in various other areas:

Machine learning algorithms make demand forecasts more precisely, which leads to better warehouse optimization. Route planning can be optimized by AI -based systems, which reduces transport times and costs. The forward-looking maintenance of transport vehicles and logistics facilities is supported by AI systems that can predict failures.

Sustainability as the driver of the innovation

The importance of sustainable logistics solutions is growing continuously. Companies are under increasing pressure to reduce their CO₂ emissions and implement more environmentally friendly transport solutions. The AI-based optimization of transport logistics contributes directly to these goals by enabling efficiency increases and reducing the waste of resources.

Studies show that rail freight transport is already the most ecological variant of logistics today, with less than one fifth of the greenhouse gases per tons of kilometers compared to road transport. Through intelligent route planning and intermodal solutions, the ecological advantages of various means of transport can be optimally combined.

Challenges and solutions

The implementation of AI-supported systems in transport logistics also brings specific challenges that have to be considered well.

Data quality and system reliability

The quality of the AI ​​decisions depends largely on the quality of the input data. In the 3D measurement, the lidar sensors must be regularly calibrated and serviced in order to consistently ensure precise measurement results. Pollution or mechanical impairments of the sensors can lead to measurement errors that affect the entire transport planning.

To ensure system reliability, redundant measuring systems and continuous monitoring processes are implemented. Similar to other AI applications from Krones, for example the Linatronic AI system for empty bottle inspection, which achieves reliability of over 99.9 percent, the highest quality standards are also created in the measurement technology.

Personnel requirements and qualifications

The use of advanced AI technology requires correspondingly qualified employees for operations and maintenance. Krones encounters this challenge through extensive training programs in the Krones Academy at the Neutraubling location. The academy offers training in various technology areas, including information technology and material flow technology.

The further training of employees is a continuous process because AI technologies quickly develop. Krones therefore continuously invests in the qualification of his workforce to ensure the successful implementation and the operation of innovative technologies.

Scalability and cost efficiency

The scaling of AI-based systems across different locations and areas of application requires a well thought-out strategy. Krones as a global group with around 90 subsidiaries and participations worldwide must ensure that the technology can be efficiently implemented at various locations.

The Edge Computing Architecture offers advantages here because it enables a decentralized implementation without being dependent on central cloud infrastructures. This reduces both the implementation costs and ongoing operating costs.

Technology leadership made in Germany: Modular AI systems conquer global industrial markets

The implementation of AI-based 3D measurement technology at Krones marks an important milestone in the evolution of industrial logistics. The innovative combination of lidar technology, artificial intelligence and edge computing impressively demonstrates how modern technologies can solve concrete business problems and at the same time contribute to sustainability.

The solution shows an example of how companies can increase their efficiency, reduce costs and improve their environmental balance by targeting AI technologies. The partnership between Krones and Deutsche Telekom underlines the importance of technology cooperations in the development and implementation of innovative solutions.

This development opens up new perspectives for the future of transport logistics. The technology has the potential to apply beyond the beverage industry in other mechanical engineering industries and heavy industry. The modular design and the possibility of retrofitting existing systems make it easier to spread the technology.

The importance of this innovation extends far beyond the immediate economic advantages. It demonstrates how German companies can strengthen their competitiveness in global markets through technological leadership and innovative partnerships. At the same time, it makes an important contribution to the sustainability goals of industry and shows ways of how digitization and environmental protection can be successfully linked.

With the continuous further development of AI technologies and their increasing integration into industrial processes, the importance of such solutions will continue to grow. With his AI-based surveying technology, Krones has laid an important foundation for the future of intelligent transport logistics and positioned himself as an innovation leader in the industry.

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