Hi everybody,
@RavinKumar thanks a lot for the great video. I am a supply chain manager myself and are started to look in use cases to apply bayesian statistics. As we have more a python environment in our company I came across pymc.
I am not sure if I should open a new thread or append some use cases in this thread. Please advice.
I work in the semiconductor industry, where the supply chain is heavily influenced by extremely long (production) lead times and fluctuating short-term demand. With the onset of the COVID-19 pandemic, the demand signals became highly unpredictable. Over the past few years, our customers have significantly overstated their demand for semiconductor allocation. Do you have any suggestions on how to handle these exaggerated demand signals? I’m hesitant to simply disregard them as outliers without a clear approach.