IN Brief:
- DACHSER has extended its Enterprise Lab partnership with Fraunhofer IML and IAIS to the end of 2029.
- Its @ILO digital twin was deployed at 11 branches in 2025, when DACHSER reported more than four million manual scans avoided.
- The company expects @ILO to reach 14 European locations by the end of 2026, a rollout target rather than a completed total.
DACHSER has renewed its research partnership with the Fraunhofer Institute for Material Flow and Logistics IML and the Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS until the end of 2029. The agreement continues work on software, artificial intelligence and robotics through the DACHSER Enterprise Lab, where researchers and freight operations specialists develop and test technology intended for practical use in the logistics group’s network.
The renewed agreement follows collaboration that began in 2017. Rather than establish a separate new laboratory, the partners are extending a working arrangement already used to develop solutions for DACHSER’s European groupage network and related supply chain processes. The company has identified digital systems, applied AI and robotics as areas of focus for the next three years, but it has not announced a quantified investment, dedicated headcount or a complete timetable for future products.
Groupage transport combines shipments from multiple customers into a network of terminals and scheduled linehaul movements. Consignments arrive, are identified and assigned to outbound routes, then move through handling areas before being loaded for the next stage of delivery. The practical difficulty is coordinating many smaller shipments with different dimensions, loading requirements and destinations within limited sorting windows. Visibility into what is physically present and where it has been positioned can reduce the time workers spend resolving mismatches between the freight and information systems.
The clearest operational example is @ILO, a digital twin developed for freight terminal handling. DACHSER expects it to be implemented at 14 European locations by the end of 2026. That figure is the company’s year-end target, not a count of installations already complete at the time of the October announcement. An earlier company account identified 11 branches with @ILO operating during 2025, giving a reference point for the subsequent expansion.
The system creates a digital representation of items and their locations as they move through a freight terminal. Accurate position data can help staff find pallets and match physical stock with consignment records without repeating manual barcode checks at each stage. In February 2026, DACHSER said its 11 @ILO locations had avoided more than four million manual barcode scans during 2025. That is a company-reported cumulative result across those branches, not an independently measured result for the future 14-site network.
The same company account said the technology had removed the need for a daily manual stock count of packages at participating terminals, because pallets could be located in real time. The claimed improvement has an operational mechanism: workers spend less time searching or rescanning freight and can prepare outbound movements against more current location information. The benefit depends on accurate identification, complete coverage of handling areas and reliable integration with existing terminal systems. DACHSER has not supplied a comparable network-wide labour saving or financial return from the planned expansion.
The involvement of Fraunhofer IML adds experience in material flow, warehouse processes and industrial logistics research, while Fraunhofer IAIS contributes work in intelligent data analysis and AI systems. Bringing those disciplines together can support work ranging from the capture and interpretation of operational information to decisions about how freight should be processed. The partners have not specified which algorithms, robots or commercial platforms will be delivered next under the renewed agreement.
Robotics research must also account for the variability of groupage freight. Unlike a production line moving near-identical components through fixed positions, a freight terminal receives packages and pallets with different weights, wrapping, handling constraints and geometries. Automated equipment needs a defined operating envelope, reliable detection and procedures for exceptions that still require human judgement. Research activity alone is not evidence that autonomous handling will be introduced across the DACHSER network by a particular date.
The company’s emphasis on artificial intelligence likewise raises questions about data consistency and operating authority. Software may classify objects, support forecasting or help workers locate freight, depending on the application, but deployment decisions have to consider what happens when records are incomplete or a model’s output conflicts with physical conditions. In a time-constrained logistics terminal, error handling can be as important as the speed of a successful automated decision, particularly when a wrong load would delay several subsequent movements.
Stefan Hohm, chief development officer at DACHSER, has identified digital applications, AI and robotics as the priorities for the renewed Enterprise Lab partnership. The collaboration now has a defined horizon through December 2029, while @ILO’s rollout target remains the more immediate test of technology developed under the arrangement. The company expects 14 European sites to have the system by the end of 2026; it has not specified the next autonomous handling product or a date when robotics research will enter live service.
