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Reducing Service Part Costs with a Machine Learning Pooling Model

November 26, 2019

Via: CIO

Dell Technologies’ Global Service Parts organization (GSP) routinely plans for parts that may need to be replaced if a system fails. Forecasting and planning for rare parts failures is like insurance. We determine the probability of failure and — based on these probabilities and several other factors — we determine where to stock parts in order to avoid impacting customers, while also controlling our costs.

If a customer has bought a same-business-day warranty, we are committed to getting the part to the customer within just hours.

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