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27 Jan 2022 / 16:30 - 17:15
AI in supply chain - inventory optimisation from raw material to product
Case study: AI in supply chain - inventory optimisation from raw material to product
The masterclass will cover the process and the challenges in the distribution and manufacturing supply chain and how they reflect on the quality of the data to be used for training machine-learning models. We will review the approaches to overcome these challenges and how they combine into order & planning automation. Last but not least, it is also important to evaluate the models and algorithms used in automation and optimisation. We will check some of the metrics that we & our clients use on daily bases so they can understand and trust the generated decisions.
Božidara Cvetković,
BE-terna
Božidara Cvetković began her work on artificial intelligence 10 years ago at the Jožef Stefan Institute, where she also received her PhD.
For the past three years, she has led the team of data scientists at BE-terna and worked on the development and implementation of artificial intelligence methods in existing business processes. The team’s development work is focused on end-to-end optimization and automation of processes in the fields of logistics, manufacturing, personalized marketing and predictive maintenance.
