Glossary

redtagger is a modular marking and labeling solution for the automatic creation and application of logistics labels on packages, cartons, and pallets. It enables fast, unambiguous, and reliable identification throughout the entire logistics chain.

The system is used in shipping, warehousing, and production processes and can automatically generate and apply shipping labels, SSCC labels, hazardous materials labels, or customer-specific labels. When combined with dimensioning systems, scales, and ERP or WMS systems, the necessary data is imported directly, reducing manual entries and preventing errors. The modular design allows for adaptation to different conveyor systems and process requirements.

Real-world example:
After automatic measurement and weight recording, the redtagger automatically applies the appropriate shipping label—containing all relevant logistics data—to a shipping pallet.

See also: Barcode scanner, data capture, DWS, labeling, GS1, scanner, SSCC (Serial Shipping Container Code), shipping label

Returns management encompasses the planning, control, and processing of returned goods throughout the entire returns logistics process. It ensures that returns are efficiently recorded, inspected, and directed for further use or disposal.

Returns management includes the acceptance, identification, quality inspection, restocking, repair, or disposal of returned products. Digital systems, as well as automated identification, measurement, and documentation processes, speed up processing and provide transparency regarding the status of each return. Professional returns management reduces processing times, lowers costs, and improves customer satisfaction.

Practical example:
A returned package is automatically identified, measured, and inspected before the warehouse management system decides whether to restock, repair, or dispose of it.

See also: Data capture, order picking, warehouse, material flow, shipment tracking, goods flow, goods receipt, warehouse management system (WMS)

Reverse Logistics refers to the planning, management, and execution of the flow of goods from the end customer back to the manufacturer, retailer, or a recycling facility. It encompasses all processes involved in returning products for reuse, repair, refurbishment, take-back, or disposal.

Reverse logistics is a central component of modern supply chains and supports sustainable and economically viable business models. In addition to returns, this area also includes recycling, refurbishment, exchange programs, and the return of load carriers. Digital systems and automated data collection ensure transparency, shorten processing times, and enable efficient management of return processes.

Practical example:
A defective device is returned by the customer, automatically recorded, and—after inspection—either repaired, remanufactured, or sent for recycling.

See also: Supply chain, material flow, pallet management, returns management, supply chain management, goods flow, Warehouse Management System (WMS)

RFID (Radio-Frequency Identification) is a technology for the contactless identification and tracking of objects using radio waves. It enables the automatic collection of information without requiring direct line-of-sight between the reader and the transponder.

An RFID system consists of a transponder (RFID tag), a reader, and software for data processing. In logistics, RFID is used to identify goods, pallets, containers, and load carriers, as well as to automatically track the movement of goods and inventory levels. The technology streamlines processes, increases transparency along the supply chain, and reduces the need for manual data entry.

Practical example:
When passing through an outbound goods gate, all pallets equipped with RFID tags are detected simultaneously and automatically recorded as shipped in the warehouse management system.

See also: Auto-ID, data capture, GS1, material flow, pallet, scanner, shipment tracking, warehouse management system (WMS)

Robotics involves the development, programming, and deployment of robots to automate tasks in industrial and logistics processes. It enables precise, repeatable, and efficient execution of a wide variety of workflows.

In logistics, for example, robotics is used for transportation, order picking, palletizing, sorting, and quality inspections. Modern robotic systems utilize sensors, artificial intelligence, and digital interfaces to perceive their environment and respond flexibly to changes. In combination with conveyor systems, WMS, and automation solutions, robots help accelerate processes, reduce ergonomic strain, and increase process reliability.

Practical example:

In a distribution center, a robot handles the automatic palletizing of cartons and coordinates its movements with conveyor systems and the warehouse management system.

See also: Automation, Computer Vision, Conveyor Systems, Industry 4.0, Artificial Intelligence (AI), Logistics Automation, Sensor Technology, System Integration

Movement of a rotating object around its axis. Measuring concentricity is important for quality control of rotationally symmetrical parts.