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Item Metadata only Risk assessment and prescriptive analytics for electrical devices production based on an integration of requirement forecasting and customer segmentation models(Mahidol University. Mahidol University Library and Knowledge Center, 2018) Preuksa Wongpitak; Sotarat Thammaboosadee; Smitti Darakorn Na Ayuthaya; Theera Piroonratanain the form of RFM (Recency-Frequency-Monetary). The result shows that Gradient Boosted Trees provides more than 90% accuracy in predicting the LED rank and can save cost of resistor order around THB 4.6 million per month. Customer can be classified into three... of time series forecasting models. Finally, the results of GBT were analyzed with Prescriptive analytics to do a strategy and allocate parts which align to customer behavior and according to the company policy. The results show that LED rank EX, EY and JUJ