Logistics controlling and data quality
Why Controlling Without Valid Data Is Ineffective
Would you know offhand what your inventory levels are, how well your suppliers are performing, or whether your logistics KPIs are valid? Many companies lack comprehensive logistics controlling – or it’s based on questionable data quality.
The result: Decisions are made on uncertain grounds, companies work with key performance indicators whose calculations are unclear, weaknesses go undetected, and optimization potential remains untapped. Logistics controlling isn’t an end in itself, but rather the control system for your supply chain. And data quality? Ensuring it isn’t an IT issue, but a management responsibility. Only when both come together can you make informed decisions, manage proactively, and optimize your supply chain economically.
Does this sound familiar?
– You use KPIs, but you don’t trust the numbers?
– You have a lot of data, but little transparency?
– You know your logistics costs, but not what drives them?
– Your reporting is too rigid or incomplete?
– Your planning suffers from data errors and inconsistencies?
Then you should take your logistics controlling and data quality to the next level.
Our consulting approach: From a solid data foundation to a manageable supply chain
We support you in building a sound controlling system with a solid data basis and high added value – individually tailored to your supply chain:
Develop a key performance indicator (KPI) system
Together with you, we define relevant logistics KPIs, anchor them in target systems and create a structure in which key figures can be controlled with a precise understanding of causes and across departments.
Build Control Tower
We create end-to-end transparency across your supply chain – through central dashboards, predictive analytics and real-time visualization of bottlenecks, KPIs and supplier performance.
Ensure data quality
We use structured analyses to review and improve the quality of your master and transactional data. We establish processes and tools for sustainable data maintenance and create a company-wide understanding of data responsibility.
Simulation with Digital Twin
We analyze planning parameters and logistical rules using a digital twin, optimize target values realistically and make potentials visible before they are tested in practice.
Implement early warning systems
We develop monitoring mechanisms for critical deviations and data anomalies. This allows you to identify planning errors before they become a problem.
Examples of our consulting services
– Development of KPI-based controlling systems
– Data quality check & correction of ERP data
– Simulation of target values for planning and inventory
– Control tower concepts with real-time dashboards
– AI-based early warning systems for planning errors and data problems
Typical questions we answer
– How good is our data really – and where are the weaknesses?
– Which KPIs deliver real steering impact?
– How can I simulate target values before implementing them in practice?
– How can I identify bottlenecks, data errors, or forecasting problems early on?
– How do we establish data quality as a process task rather than an IT side project?
What makes us different
With us, you don’t get isolated tools, but rather a well-designed interplay of KPI system, data quality, system integration, and control structure. Our unique selling proposition: We make your data usable – and bring insights from simulations directly into your daily business. Our solutions are designed for medium-sized businesses: pragmatic, scalable, and effective.
Holistic rather than focused on specific areas
We consider KPI systems, data quality, and control together.
Anchoring in everyday life
We transform key performance indicators and data maintenance into sustainable routines with clear responsibilities.
Simulation as a decision-making aid
We test target values in advance in the Digital Twin – realistically and reliably.
Pragmatic & scalable
Our solutions are tailored to the realities of medium-sized businesses: no over-engineering, no proliferation of tools.
Transparency as a basis for control
Our Control Towers make connections visible and decisions comprehensible.
A machine manufacturer implemented a data-driven target inventory control system with us.
Result: -22% inventory reduction with consistent delivery capability, +35% increased inventory transparency, -18% less clarification effort in order processing.
A hidden champion in the automotive sector used an early warning system to identify forecasting errors in action planning in a timely manner and was able to reduce missing parts and special costs by 27%.
FAQ – Frequently Asked Questions
What is a control tower in logistics?
A central dashboard for real-time monitoring and control of logistics key figures, bottlenecks and forecasts – across functions and data-driven.
How is data quality ensured in the long term?
Through defined care processes, clear data responsibilities, monitoring and integration into standard processes.
Which KPIs are truly relevant for management?
Those that depict causes rather than symptoms – e.g., deviations from targets, plan quality, inventory structure, or supply risks.
How does simulation work in controlling?
In the Digital Twin, for example, inventory or planning parameters are tested before they are implemented in reality – low-risk, fast and fact-based.
What are the specific benefits of an early warning system?
It detects anomalies earlier than humans: for example, outliers in the forecast, faulty planning parameters, or bottlenecks before they occur.