With AI-enabled Advanced Analytics, we can harness the power of data to uncover valuable insights and support fact-based decision making. Whether it is trends in customer behavior, reasons for operational disruptions or identifying cost drivers, the data has the answers we need - Advanced Analytics allows us to reveal them.

Miebach uses industry leading software and develops custom algorithms to efficiently analyze your data for strategic, tactical, and operational applications, leveraging methods including machine learning, optimization and simulation. For example, the root cause for poor warehousing performance can be proven to lie in a suboptimal slotting process. Certain suppliers could be delivering erratically, upsetting downstream customer service. Using this information can pinpoint your supply chain to improve where it is most effective, leading to better performance at minimal costs.

Furthermore, our Predictive Analytics capability enables forecasting using customized models built from an extensive library of statistical and deep learning algorithms that account for the real drivers of your supply chain to achieve unparalleled accuracy. AI algorithms and big data methods support identification of the exact trends for reliable forecasts of sales, asset demand, labor pools and other key metrics to proactively control operations at the highest efficiency.


  • Valuable and fact-based insights for better decision making
  • Combining industry leading software with decades of industry experience
  • Customized for your supply chain, far beyond off-the-shelf capabilities
  • Quick Check of your data at low invest possible
  • Can be integrated in operational tools for real time control and prediction of assets

Please see also "What does AI Really Mean".

Further Information

Control Tower: A tool to generate competitive advantages in your supply chain

Whitepaper 18 February 2021, Written by Xavier Farrés and Jordi Valls, Miebach Consulting

Today, supply chains are already considered by a large majority as essential tools for achieving business objectives, as they are elements that generate competitive advantages and provide differential values for companies. And as a...

The Digital Twin in Intralogistics: Increase Planning Accuracy, Leverage Investments

Whitepaper 27 February 2020, Written by Kamel Klibi, Miebach Consulting

Digital Twin for dynamic adaptations and optimizations The complexity of logistics systems is a constant and ongoing challenge in supply chain management. Planning by means of simulation is an integrated approach to secure important...