Experts at Work
NLB optimized the PO process disruptions by developing an ensemble ML model (XGB + Seasonal ARIMAX) that captures data from existing systems and provides an accurate forecast based on total PO trend, including weekly/monthly growth and seasonality. Our team of specialists also
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plugged in last three week’s data into the model
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leveraged casual models to estimate EOC level share of the expense
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calculated weekly volatility index
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balanced data sheets through noise component adjustment
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improved weekly performance
Impact We Delivered
correction in demand forecasting accuracy
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