We translate your specific business setting into an analytical model for optimized decisions in procurement and supply chain management (SCM).
We identify and analyze large amounts of relevant internal and external data to optimize your processes in the procurement and SCM context.
We develop machine learning algorithms that to exploit Big Data for optimal decisions in procurement and SCM.
We analyze and benchmark the saving potential of various data-driven solution approaches for your specific challenges in procurement and SCM.
We design customized solutions for advanced analytics and data-driven decision-support in procurement and SCM.
We offer individual training and support to leverage data-driven insights for decision makers in procurement and SCM.
Founded as a spin-off from Technical University Munich (TUM) in 2018, prelytico offers individual solutions for data-driven optimization of procurement, logistics and supply chain processes. At prelytico, we develop artificial intelligence to explore data for optimal decisions. Our customized solutions support companies in optimal inventory control, commodity purchasing, supplier selection, transportation optimization and supply chain design and are already in use in different industries.
Operations Research + Machine Learning
Minimize procurement cost and risk
Maximize customer satisfaction
Maximize supply chain efficiency
Von Predictive zu Prescriptive Analytics: Big Data in der Rohstoffbeschaffung