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
plugged in last three week’s data into the model
leveraged casual models to estimate EOC level share of the expense
calculated weekly volatility index
balanced data sheets through noise component adjustment
improved weekly performance
Impact We Delivered
0
%
correction in demand forecasting accuracy
