Automated master data capture for efficient shipping processes

In logistics, it is often not the transport itself that determines efficiency, but the quality of the underlying data. Missing or inaccurate master data leads to incorrect packaging, unnecessary shipping costs and avoidable process interruptions. This is exactly where Heidler comes in with a system for automated master data capture.

The aim is to clearly identify items, measure them precisely and make this information directly available for downstream processes. The focus is on capturing physical objects. Items are not only weighed, but also measured. Length, width and height, together with weight, form the basis for many logistical decisions. Visual documentation is also part of the process. At the same time as the measurements are taken, images are generated that are uniquely assigned to an item number. This creates a digital twin of the product that goes far beyond traditional master data.

Master data as the basis for efficient logistics

Master data is often considered a dry, mandatory discipline, but in practice it is a key lever for efficiency. Without reliable data, storage space cannot be used optimally, shipping costs cannot be calculated correctly and packaging cannot be selected sensibly. Heidler addresses precisely this weak point by capturing data directly from the physical object rather than estimating it retrospectively or maintaining it manually. The process begins with scanning the item's barcode. This ensures that each measurement is uniquely referenced. The light grid frame is then moved over the object. Within a few seconds, the volume, weight and image data are available. This combination ensures that not only numerical values are generated, but also a comprehensive data package that can be used for various applications.

Object detection with light grid and image data

The technical implementation is designed to work quickly and reproducibly. The light grid frame captures the exact dimensions of the item, regardless of its shape. In addition, images are generated that document the condition and nature of the item. If desired, multiple views of an object can be saved, which is particularly advantageous for complex or sensitive items. This visual level complements the pure measurement data in a meaningful way. Images help with storage, picking and, last but not least, clarifying discrepancies. They create transparency and reduce queries along the process chain.

Interfaces for merchandise management and host systems

The recorded data only fully reveals its benefits when it is seamlessly integrated into existing IT systems. Heidler therefore does not rely exclusively on simple file exports, but offers various interfaces. In addition to classic CSV files, direct connections via common interfaces are also available. This allows the generated master data to be automatically written back to merchandise management systems or higher-level host systems. Manual transfers are eliminated and sources of error are reduced. The data is available where it is needed, without media breaks or time delays.

Broad target group from warehousing to shipping

The target group for such a solution is deliberately kept open. Basically, any company that stores or ships physical products benefits from accurate master data. Whether in retail, industry or e-commerce – length, width, height and weight are required everywhere in order to map processes accurately. The application is particularly relevant where shipping processes need to be optimised. Knowing the exact product data allows you to select the right packaging. This reduces filling material, lowers shipping costs and has a positive effect on sustainability and customer satisfaction.

• Precise recording of length, width, height and weight
• Unique referencing via item barcodes
• Additional image data for visual documentation
• Direct connection to merchandise management systems

Optimisation of packaging and shipping

One specific use case is the selection of the optimal packaging size. Without precise master data, many systems resort to approximations. This leads to oversized boxes or bottlenecks in the packaging process. With the data recorded by Heidler, packaging can be tailored precisely to the item. This effect is not only economically relevant. Less air in the package means less material usage and lower transport volumes. These effects add up significantly, especially with high shipping volumes. Master data capture thus becomes an active part of process optimisation.

Master data maintenance as a continuous process

It is important to view master data maintenance as an ongoing task. Products change, ranges grow, new items are added. Heidler's solution is designed to reflect this dynamic. New items can be recorded quickly and existing data records updated as required. This shifts the focus from one-off data collection to continuous data management. Companies are given a tool with which they can actively control their master data instead of just managing it.

Heidler as a building block of modern logistics processes

With this approach, Heidler is positioning itself as a solution provider for an often underestimated but central topic in logistics. The combination of automated measurement, image data capture and open-system integration creates a robust database. This data has an impact along the entire process chain – from storage and picking to shipping. In a logistics environment that is increasingly dependent on efficiency, transparency and automation, accurate master data is becoming a decisive factor. Automated master data capture shows that optimisation does not always have to start with large infrastructure projects, but often with the foundations on which all other processes are based.