AI-Powered Drone Inventory.

Together with its technology partner D-ARIA, ACS Logistics has successfully implemented an AI-powered drone inventory for the first time in its new logistics terminal. The project demonstrates how inventory processes in automotive spare parts logistics can be further developed to become more precise, efficient, and data-driven.

‍

Inventory counts are still among the most time- and resource-intensive processes in many companies. At the same time, requirements for accuracy, transparency, and data quality continue to increase. Especially in automotive spare parts logistics, where availability and traceability are critical, traditional inventory methods are no longer sufficient. What is needed are processes that not only capture stock but transform it into structured, reliable data.

‍

As part of the project, 3,700 storage locations were recorded and photo-documented by two drones operating in parallel within just eight hours. A barcode recognition rate of 97 percent was achieved, with a total of 878 product variants processed. Compared to manual inventory counting, the time required was reduced by around 75 percent. Particularly important for ongoing operations: the solution was seamlessly integrated into the existing warehouse environment. No additional equipment was required, and terminal operations continued as planned during the inventory process.

‍

The advancement is not only about speed. The AI used not only automates data capture but also performs intelligent real-time validation. This includes detecting duplicate scans, identifying the correct barcode in cases of multiple labels, marking blocked products, distinguishing partial pallets, and applying AI-based pattern recognition—for example, to identify damage or incorrect stock placement.

‍

In addition, structured datasets are generated, including barcode and storage location information, image documentation, and CSV outputs that enable further analysis. Discrepancies are therefore not only visible but can be clearly traced and systematically addressed. For customers, this means greater transparency, higher data quality, and a more reliable basis for managing logistics processes.

‍

At the same time, the application highlights ACS Logistics’ strategic direction: the new logistics terminal offers not only modern infrastructure but also a platform for intelligent technologies and process-driven solutions. The collaboration with D-ARIA shows how technological expertise and logistics know-how can come together to bring forward-looking solutions into practical use today.

‍

The integration of AI and drone technology lays the foundation for continuous inventory monitoring, data-driven process optimization, and increased supply reliability in spare parts logistics. In environments with high demands for precision, responsiveness, and stable operations, such solutions make a tangible contribution to reliable supply chain management.

‍

For ACS Logistics, this project is more than just a single use case. It demonstrates how logistics can be systematically advanced through clear processes, reliable data, and digital solutions. As a Smart Forwarder, the company combines operational requirements with transparency, controllability, and practical implementation—showing how data-driven logistics can already deliver real value in everyday operations today.

‍