Logistikcontrolling

What is logistics controlling?

Logistics controlling encompasses all methods and processes used to make logistics operations measurable, analyze them, and manage them in a targeted way. It goes far beyond mere reporting: the goal is to detect deviations early, understand their root causes, and systematically track corrective actions. Typical control parameters include throughput times, inventory levels, OTIF rates (On Time In Full), productivity KPIs, and the cost structure along the logistics chain, down to the cost-to-serve per customer or channel.

Logistics controlling thus serves as the link between day-to-day operations and strategic decision-making. While operational management executes processes, controlling provides the transparency needed to set priorities and deploy resources effectively.

How does logistics controlling work in practice?

A functioning logistics controlling system typically follows four steps:

• KPI definition: First, you determine which metrics are actually relevant for decision-making. Not every measurable variable is relevant for control purposes — the selection should be aligned with the strategic objectives of the logistics function.
• Data collection and integration: Raw data comes from various systems — WMS, TMS, ERP, or MDE terminals. A reliable data foundation is essential; inconsistencies between systems are a common problem in practice and must be addressed through clear data ownership.
• Reporting and analysis: Dashboards and regular reports make deviations visible. Root cause analysis — for example through drill-downs by location, vendor, or product group — is critical to distinguish surface-level symptoms from structural issues.
• Action management: Identified problems are translated into concrete measures, prioritized, and their impact tracked. Without this step, controlling remains pure reporting with no management value.

In procurement, controlling data feeds into vendor evaluations, bonus-malus arrangements, and tendering processes. This makes logistics controlling an instrument for contract management with external service providers as well.

What matters when building and selecting a system?

When building a logistics controlling function, several aspects are particularly critical: First, the selection of KPIs must remain lean — too many KPIs create effort without generating insight. Second, data quality from source systems should be verified and continuously ensured before metrics are used as a basis for control. Third, organizational embedding is important: controlling only delivers value when results feed into regular decision-making processes rather than simply being documented. Depending on the vendor, solutions vary considerably in how deeply they support system integration, report automation, and anomaly detection — a direct comparison based on your own requirements is therefore advisable.