Skip to content
ML Academy

Forecasting

Interview question

  • stafflevel
  • 25 minsuggested time
  • 2Data scientist, ML engineer

The demand-planning team asks for two months of work to take weekly SKU-store forecast error (WAPE) from 14% to 12%. You are asked to decide whether it is worth it. How do you value the improvement, and what would you do differently if the value is small?

Tests: Valuing forecast accuracy through the decision it feeds: inventory and service-level effects, the link between error and safety stock, and prioritisation against other levers.

day 16day 26day 28

Sign in to practise: answers are saved before model answers are shown.