What if you could forecast demand but couldn’t build, order, or control the supply needed to meet it? A matter of fact you don’t even own your supply and have to forecast inventory as well.
I sit down with Airbnb data scientist Harrison Katz, PhD, a designer of Bayesian workflows for structured forecasting, to explore the challenge of forecasting when supply depends entirely on others. We discuss uncertainty on both sides of the equation, where demand and supply planning become blurred, and how constraints, demand shaping, and probability come together. Harrison shares how he approaches these problems, how results should be measured, and even turns the tables to ask me a few tough questions.
IBF On Demand sponsored by Arkieva, your one-plan S&OP software. Learn more about Arkieva's innovative approach to forecasting here https://arkieva.com/
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