At the Reply Xchange 2025 in the BMW Welt in Munich, it became clear: Artificial Intelligence (AI) is no longer an abstract future topic, but actively shapes the present. At the beginning of June, around 1,600 guests experienced already realized use cases, new perspectives, and technological innovations across the entire digital value chain.
Current trends such as generative AI, agent-based systems, Physical AI with intelligent robotics, and connected products were in focus. International experts presented real applications: AI-supported software development, empathetic humanoid robots, or autonomous drones for intralogistics. The central message is: AI proves its worth in practical applications through high productivity, scalability, and security.
Silicon Shoring: AI agents automate the software development process
A central topic was the future of software development. With "Silicon Shoring," Reply has introduced a new model for automating the entire software development cycle. Based on a multi-agent architecture, specialized AI agents take over central tasks: from the requirement definition through code creation to testing, deployment, operation, and monitoring. The goal is to develop scalable and high-quality software in the shortest possible time.
In this intelligent software development model, AI and human expertise complement and work together effectively. Routine tasks are automated, allowing teams to focus more on architecture, strategy, and quality assurance. "Silicon Shoring" can be flexibly integrated into existing IT environments as an internal solution or used as a fully managed, AI-native software factory. The model offers speed, transparency, and governance without the usual disadvantages of classic offshoring models, such as time zone differences or communication problems.
Multi-agents for optimized cloud management
Another highlight was an AI-supported multi-agent platform developed for Audi, which makes cloud infrastructures smarter. At the center is "Devbot," a digital assistant that supports employees in securely and efficiently handling cloud services. Unlike conventional chatbots, specialized agents work together and take on complex tasks collectively. They analyze security risks, identify cost drivers, and propose optimized infrastructure-as-code blocks to explicitly reduce cloud costs.
Through a chat interface with RAG technology ("Retrieval-Augmented
Generation"), "Devbot" delivers always-current, verified answers and acts like a competent digital colleague. The result is less manual work, more security, and faster setups. A solution that allows Audi to set new standards in cloud management.
Quality assurance with AI: Real-time error detection
Reply has presented a system for industrial quality assurance that uses an AI model to detect damage or deviations in products. The solution is operational with minimal training effort and saves costs and resources, as stated. In the realized and fully tested project, a high-speed camera captures the objects to be inspected, which are then analyzed by an AI model. The system detects and evaluates the products in real time and visualizes the results on a dashboard. The result: less waste, better quality, and faster reactions through computer vision.
Charging greener, rewarding smarter: with BMW and generative AI
Together with BMW, Reply has developed a solution connecting environmentally friendly charging of electric vehicles with a smart user experience. The developed app uses real-time data to show when there is a high proportion of CO₂-neutral produced electricity in the grid and recommends the optimal charging times to users.
The special feature: those who charge accordingly are rewarded with a personalized reward video generated by Generative AI. This not only promotes sustainable behavior but also emotionally enhances it. The solution combines data analysis, AI, and gamification into an intuitive approach that strengthens sustainable routines and demonstrates how smart technology can lead to real rethinking in dealing with energy.
Drone solutions for logistics and security
The Reply experts in autonomous technologies presented an AI-supported solution for automated inventory and monitoring of large outdoor warehouses. Using DJI drones, 3D segmentation, and barcode scans, the area is efficiently captured – such as pallet storage in the beverage industry. The drone autonomously starts from a DJI dock, captures the stock, and reports deviations directly to the SAP Extended Warehouse Management.
The system is fully integrated and intuitively operable. The drone can be flexibly
used for various applications: from inventory to maintenance of large facilities to security monitoring. For 24/7 continuous operation, patrol flights with a second drone can also be realized. The solution reduces manual effort, increases accuracy, and is already in use in the German automotive industry and process industry.
Smart Eye: AI in narrow-aisle warehouses
For the application of AI-based camera recognition, for example in narrow-aisle warehouses, Reply presented the computer vision solution "Smart Eye." It is part of the cloud-native warehouse management system (WMS) LEA Reply. The camera and software application monitor aisle saturation and support packing processes. The solution can be individually adapted to customer requirements, significantly increases workforce efficiency, and seamlessly integrates into the LEA Reply suite, including the AI extension "GaliLEA" for automated warehouse management.
AI for the warehouse using the example of Puma
Another practical example from logistics shows how Puma uses the AI platform "GaliLEA" and the WMS "LEA Reply" to increase efficiency and user-friendliness in everyday warehouse life. "GaliLEA" unites specialized AI agents that access system and process data directly. Tasks such as table queries or dashboard creations can be initiated via natural language – without any training effort.
Instead of searching through a 200-page manual, employees receive answers in seconds, for example, about system functions or work processes. Acceptance is high: already around 80 percent of warehouse teams actively use "GaliLEA."
Through context-based queries in the WMS, AI-supported training, operational inquiries, or data analyses can be directly integrated into everyday work. According to the provider, the solution is based on RAG technology and is operated fully GDPR-compliant in the European public cloud.
For Puma, data protection and simple scalability in different countries are essential. While the same regulatory requirements apply in the international Puma warehouses, culturally different working methods require tailored support. Here, too, "GaliLEA" helps with multilingual, tailored responses and flexible knowledge transfer.
Autonomous robots for demanding industrial environments
Whether in energy supply, logistics, or manufacturing: mobile, quadruped, and humanoid robots are
transforming industrial practice. The showcased systems take on inspection, transport, and monitoring tasks in hazardous or hard-to-reach areas. They can be operated remotely or autonomously and provide continuous data for predictive maintenance. The result is more safety, less downtime, and higher efficiency. In view of growing demands and labor shortages, these ready-to-use robots offer a scalable answer to central challenges of the industry.
Conclusion: AI becomes a productive standard
The Reply Xchange 2025 has demonstrated that AI is no longer a vision of the future but already creates concrete added value today. Whether automated software development, voice-controlled logistics, intelligent assistance systems, or the collaboration between humans and machines: AI applications have arrived in practice and deliver results.
Due to the shortage of skilled workers, increasing efficiency requirements, and growing system complexity, the targeted use of AI is increasingly becoming the decisive factor for economic success. Companies that act now gain a clear advantage and successfully position themselves in an increasingly dynamic competitive environment. The speed at which AI technologies are advancing leaves little room for hesitation. Those who invest today remain competitive and set themselves apart from companies that still wait and risk falling behind.
Background: Reply and Logistics Reply
The "Reply Xchange" event is organized by the Reply Group. The international network of companies specializes in the development and implementation of solutions in digital services, consulting, and system integration. Reply was founded in 1996 in Italy and is headquartered in Turin. Today, Reply is active in many countries, particularly in Europe (including Germany, Italy, the UK) and North America.
The key areas are:
- Cloud Computing
- Artificial Intelligence & Machine Learning
- IoT (Internet of Things)
- Big Data & Analytics
- Cybersecurity
- Customer Experience
- Digital Marketing
- Robotic Process Automation (RPA)
Logistics Reply GmbH is the company within the Reply Group that specializes in providing software for supply chain transformation. In 2024, Logistics Reply won the award "BEST PRODUCT" at the intralogistics fair LogiMAT in the category "SOFTWARE, COMMUNICATION, IT" with its software
