Data Mining allows finding crucial relationships within vast amounts of information, leading to deep understanding of what drives performance in your supply chain.
Specifically, ERP and WMS data such as order profiles, inventory levels or time stamps in a commission system is analyzed by Miebach experts regarding impact of resulting service and costs. The accompanying data preparation and validation are important steps to guarantee reliable results. Customized data mining models are developed for Clients specific data processes to uncover key performance drivers and "Quick Wins". Our data mining models leverage AI methods to identify data gaps, explore relationships, find causalities, recognize patterns and improve the accuracy of prediction. Based on hard facts, we interpret the results and apply real world experience and industry knowledge to develop tangible action recommendation for your success.
Process and phases of a supply chain mining project – deriving well-founded decisions and actions
Result: uncover unused improvement potential, ensure service level and save costs
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...
Whitepaper 19 November 2020, Written by Isabel Morales, Xavier Farrés, Kamel Klibi y Alexander Klaas, Miebach Consulting
The new normal has brought about drastic changes in the supply chain: supply disruptions, different consumption patterns than usual, unexpected growth in e-commerce, pressure to respond more quickly to demand volatility, and last but not...
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...