24 Mar 2022
At numi, we focus on optimizing operational supply chain decisions to make supply chains more resilient to external influences. To do this, we connect our software directly to our customers' ERP systems to generate targeted recommendations for supply chain improvement. These are edited by users directly in our UI and synchronized into execution systems, such as ERP or CRM systems. This can minimize inventory and throwaway rates and increase revenue through higher product availability.
It is a software-as-a-service solution, which is highly scalable through a serverless architecture. We use the most advanced algorithms for the respective area of the supply chain to generate recommendations for action. For example, suppliers are analyzed by process mining algorithms, demand forecasts are generated by machine learning methods, and inventory decisions are optimized by reinforcement learning.
You can find the entire interview on the TUM website linked below.