TGW Logistics Showcases Modular, AI-Driven Warehouse Automation at LogiMAT 2026

At LogiMAT 2026, held from March 24–26, 2026, in Stuttgart, TGW Logistics Group GmbH will present a portfolio of warehouse automation technologies covering robotic picking, shuttle storage, pocket sorting, and warehouse software. The systems target e-commerce, retail, and wholesale distribution environments where throughput variability and order complexity are increasing.

The company will exhibit in Hall 5, Booth C21.

Autonomous Pocket Sorting for E-Commerce
A central exhibit is the SmartPocket pocket sorter, developed for high-variability fulfillment operations such as fashion and omnichannel e-commerce. Unlike conventional pocket sorters that use continuous drag-chain mechanisms, SmartPocket employs autonomous mobile robots running on intersecting rail networks.

Each robot independently navigates to its assigned destination without centralized mechanical coupling. This modular architecture enables capacity scaling in smaller increments compared to fixed-chain systems, which typically require large mechanical extensions to increase throughput. By allowing individual carriers to be added or removed based on demand, the system is designed to reduce idle capacity outside seasonal peaks and improve overall equipment utilization.

The approach supports applications where buffering, sequencing, and consolidation of hanging garments are required prior to packing or shipping.

Goods-to-Person Order Picking
LivePick, TGW Logistics’ goods-to-person order fulfillment solution, addresses the need for ergonomic and channel-flexible picking in retail, wholesale, and e-commerce distribution centers. The system integrates automated storage and retrieval with operator workstations, enabling dynamic order allocation across sales channels.

LivePick is engineered to integrate into small- and medium-scale installations as well as larger automated systems. By reducing manual travel distances and synchronizing inventory presentation with order priorities, goods-to-person architectures typically increase picking accuracy and throughput compared to manual shelf-based picking, particularly in high-SKU environments.

AI-Assisted Robotic Picking
The RovoFlex picking robot is designed to automate single-item picking tasks within mixed-SKU environments. According to TGW Logistics, the system uses artificial intelligence-based object recognition and motion planning to adapt its gripping strategy over time.

A key feature is the ability to switch between automated and manual modes without mechanical reconfiguration. This allows operators to intervene during atypical picking scenarios or peak periods, then return the station to robotic operation. Such hybrid configurations are increasingly relevant in distribution centers where order profiles change frequently and full automation may not always be optimal.

Shuttle System with Load Realignment
The Stingray shuttle system forms the storage backbone of TGW’s FlashPick and FullPick order fulfillment concepts. Designed for high-density tote handling, the shuttle incorporates a load realignment function that automatically corrects mispositioned load carriers.

By detecting and adjusting improperly seated totes within the rack structure, the system reduces the need for manual intervention and minimizes stoppages caused by alignment errors. In shuttle-based automated storage and retrieval systems (AS/RS), load positioning accuracy directly affects cycle times and system availability; automated correction mechanisms therefore contribute to higher operational continuity.

Software Integration and Data Utilization
TGW Logistics also emphasizes its warehouse software suite, developed by a team of approximately 750 digital specialists. The software integrates automated subsystems, robotics, and manual workstations into a unified control and optimization layer.

The platform is designed to connect with existing enterprise systems and supports incremental functional expansion. Advanced analytics tools are positioned to improve performance monitoring and resource coordination within the automotive data ecosystem and other complex supply networks where traceability and system transparency are required.

Lifecycle Support and Ownership Structure
In addition to automation hardware and software, TGW Logistics provides lifecycle services covering maintenance, modernization, and system optimization. These services are intended to support long-term system performance and adaptability.

The company is owned by the TGW Future Private Foundation, established after co-founder Ludwig Szinicz transferred his shares in 2004. The foundation structure defines TGW Logistics as unsaleable, positioning the company as a long-term industrial partner rather than a short-term investment asset.

At LogiMAT 2026, the combined presentation of robotics, shuttle systems, pocket sorting, and software reflects a modular approach to warehouse automation. By integrating autonomous transport, AI-based picking, and software orchestration, TGW Logistics aims to address the operational variability increasingly characteristic of modern distribution networks.

www.tgw-group.com