prelytico
Prescriptive Analytics in Procurement and Supply Chain Management

Our Services

Enhancing Performance in Procurement and SCM through Data-Driven Decisions
Go to MODEL

MODEL

We translate your specific business setting into a mathematical model that can be used for advanced analytics applications with the objective of customized decision-support in the fields of procurement and SCM.

Go to BIG DATA

BIG DATA

We identify, collect and analyze large amounts of relevant internal and external data (e.g. real-time weather data or macroeconomic indicators) that is valuable to optimize your decisions in the procurement and SCM context.

Go to ALGORITHM

ALGORITHM

We develop algorithms that combine machine learning (supervised learning, unsupervised learning and reinforcement learning) with operations research to exploit Big Data for optimal decisions in procurement and SCM.

Go to ANALYSIS

ANALYSIS

We analyze and benchmark the saving potential of various data-driven solution approaches for your specific challenges in procurement and SCM.

SOFTWARE

We design customized software solutions for advanced analytics and data-driven decision-support in procurement and SCM.

SUPPORT

We offer individual training and support for our customized data-driven decision-support tools for decision makers in procurement and SCM.

About Us

prelytico

Founded as a spin-off from Technical University of Munich (TUM), prelytico offers data-driven decision-support solutions for procurement and supply chain management. Processes and performance in both areas are significantly affected by external risk factors such as commodity price risk, exchange rate risk, freight rate risk, demand risk or supply risk. At prelytico, we combine methods from Operations Research (OR) with techniques from Machine Learning (ML) for optimal decision-making under uncertainty by exploiting large amounts of internal and external data such as real-time weather information or micro- and macroeconomic indicators. More specifically, our customized solutions support decision makers in the fields of commodity procurement, inventory control, supplier selection and supply network planning. Our prescriptive analytics tools are successfully in use in different industries.

  • Operations Research + Machine Learning

  • Minimizing purchase cost and risk

  • Maximizing customer service levels

  • Maximizing supply chain efficiency

Press

Von Predictive zu Prescriptive Analytics: Big Data in der Rohstoffbeschaffung

Link: Beschaffung Aktuell 04/2017

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