1. Reduction of the variety. Limiting the number of SKUs would make it easier to predict weekly product demand. Using historical numbers, the students calculated that when demands for similar colors could be aggregated, a 50% reduction of the variety would increase overall forecast accuracy to 72%. As variety had always been part of the value proposition, however, Dong wondered whether recent evolutions in machine-learning techniques alternatively could be used to obtain the same forecast accuracy improvements