Picking runs
The tool sets time stamps between the individual steps of a picking run. In this way, the analytics feature shows, among other things, picking, setup, and travel times. Conspicuously long walking or picking times can be identified and reduced. A common example is that items are difficult for the worker to access. This can be easily optimized by adjusting the warehouse infrastructure or the arrangement of the items.
Last Pick Location
The Last Pick Location function creates a live map of the warehouse for the control center, on which the smart glasses are visualized with their location at the last pick saved. This facilitates cooperation between the control station and the warehouse staff – especially when personal contact between the two parties becomes necessary in the event of challenges arising at short notice.
ABC analysis
The Analytics feature within the Picavi Cockpit makes it possible to create an ABC analysis based on process data, with which different levels in the warehouse can be viewed individually. For this purpose, each scan is linked to a product and a storage location. The result is a heat map that visualizes which areas in the warehouse are particularly frequented. This also allows ergonomic aspects to be taken into account when allocating items to storage locations. Fast-moving items, for example, are placed in shelves at eye level.
Numerous advantages for logistics
The analytics feature within the Picavi Cockpit allows companies to easily visualize and evaluate the data that is already generated in the logistics process. In this way, action decisions and optimizations can be underpinned on the basis of a valid database. The tool can access additional information that systems that only work on the basis of order data do not even record. In contrast to a warehouse management or ERP system, it can be used, for example, to analyze whether products are regularly located in an unergonomic bending zone for the picker or far up on the shelf. In addition, the analytics function enables historical data storage, which makes monthly as well as annual evaluations from the past visible. The concrete added value for users is versatile:
- Identification of optimization potentials with the help of process data
- Detailed analysis of the individual pick-by-vision process steps
- Early detection of disruptive factors in the warehouse
- Individual monitoring of all important KPIs
- Preparation of all process data in user-defined dashboards
- Support for more ergonomics in order picking
- Increase of productivity
- Time and cost savings