Case studies/Analytics Case-Study
Demand forecasting for purchase planning.
Retail / apparel · 2024
Challenge
Orders must be placed 6 to 9 months in advance. Precise demand estimates are critical for profitability, especially for continuous products.
Solution
Historical sales data were enriched with external sources such as macroeconomics, holidays, and Google Trends. After iterative development and benchmarking of several models, a stacked ensemble with a meta-learner was used.
Impact
More precise order quantities that save time and reduce costs. The model is in productive beta testing.