Ladenhüteranalyse
Also: Slow-Mover-Analyse, Ladenhüter-Analyse, Slow Mover Analyse, Bestandsbereinigung Ladenhüter, Liegebestandsanalyse
AI-generated
Slow-mover analysis identifies items with low turnover frequency or long dwell times in the warehouse. The goal is to reduce tied-up capital, free up storage space, and permanently improve inventory planning.
Key facts
- A slow-mover analysis classifies warehouse items by their movement frequency and dwell time, not by their value.
- It provides the data foundation for measures such as clearance sales, relocation, supplier returns, or write-offs.
- Analyzing the root cause behind a slow mover — whether forecast errors, MOQ issues, or assortment mistakes — is just as important as the identification itself.
- A one-off cleanup is not enough; only regular repetition sustainably prevents excessively high slow-mover inventory levels.
- Decisions on corrective measures require coordinated collaboration between logistics, purchasing, and sales.
What is a slow-mover analysis?
A slow-mover analysis is a structured process for identifying warehouse items that have barely moved or not moved at all over a defined period. Items are classified as slow movers when actual demand falls far short of planned requirements, or when no single outbound movement has been recorded for months. The analysis provides a basis for targeted inventory cleanup and prevents tied-up capital and occupied storage space from remaining unproductive on a permanent basis.
How does the analysis work in practice?
The starting point is movement data from the warehouse management system: access frequency, inventory turnover, average dwell time, and the ratio of stock on hand to actual demand. The analysis is frequently combined with an ABC classification, with slow movers typically falling into the C category or below a defined minimum turnover rate. The exact boundary, however, varies by vendor and company — no universal threshold exists.
In a second step, root causes are examined: Is the reason an outdated forecast, excessively high minimum order quantities (MOQ), a misclassification of the item, or genuinely collapsed demand? Only this root-cause analysis enables well-founded decisions on corrective action.
Typical measures include:
- Price-reduced clearance sales or targeted promotional activities
- Relocation to other warehouse sites with higher demand
- Return to the supplier, where contractually permitted
- Write-off and physical disposal of obsolete or damaged stock
- Adjustment of replenishment parameters to prevent the slow mover from building up again
What matters when carrying out the analysis?
Choosing an appropriate observation period is critical: time windows that are too short generate false positives for seasonal items, while windows that are too long conceal genuine problems. The analysis should also be repeated regularly — at least quarterly — rather than treated as a one-off cleanup project.
Another critical point is alignment between logistics, purchasing, and sales. Logistics benefits from freed-up storage space, purchasing can adjust replenishment parameters and supply models, and sales must decide whether an item should be permanently removed from the assortment. Without this cross-functional alignment, the results of the analysis come to nothing, because the same mistakes are repeated in the next ordering cycle.
Related terms
- ABC-Analyse
ABC analysis is a method for classifying items, vendors, or processes into three priority classes (A, B, C) based on their economic significance. It forms the basis for differentiated decision-making in warehousing, inventory management, and procurement.
- Artikelklassifizierung
Item classification refers to the systematic categorization of items based on defined criteria such as value, turnover frequency, storage requirements, or hazardous material characteristics. It forms the foundation for differentiated warehousing, procurement, and picking processes.
- Bedarfsplanung
Demand planning refers to the systematic process by which a company determines what quantities of materials, goods, or resources are needed and when. It forms the foundation for inventory management, procurement, and warehouse planning.
- Bestandscontrolling
Inventory controlling refers to the systematic monitoring, analysis, and management of stock levels using defined key performance indicators. It connects logistics and procurement to reduce tied-up capital and ensure delivery capability.
- Bestandsführung
Inventory management refers to the system-supported administration and continuous updating of all warehouse and material stocks within a company. It forms the basis for planning, procurement and accounting – and ensures that the book inventory and physical inventory are in agreement at all times.
- Bestandsmanagement
Inventory management refers to the systematic planning, control, and monitoring of stock levels across the entire supply chain. The goal is to ensure delivery capability while keeping capital commitment and warehousing costs within economically viable limits.
- Bestandssicherheit
Inventory accuracy refers to the degree to which the book inventory and the actual physical stock in the warehouse match. High inventory accuracy prevents shortages, excess stock, and faulty replenishment decisions.
- Bewegungsdaten
Movement data captures all transactions and physical goods movements in the logistics process – from goods receipt and stock transfers to dispatch. It contains timestamps, quantities, locations and the units involved, and forms the basis for transparency, control and analysis in warehouse and…
- Disposition
Disposition refers to the operational planning and control of resources, quantities, and orders in logistics – for example in transport or materials disposition. It encompasses capacity assignment, scheduling, prioritization, and response to disruptions.