The profit optimization problem in retail—especially for fashion, consumer electronics, and other short-lifecycle goods—is not driven purely by pricing strategy. It is fundamentally defined by a set of interconnected product constraints that determine when, how fast, and how deeply prices must be marked down to clear fixed inventory before the end of the sales horizon.
These constraints capture the economic and operational reality that retailers operate with fixed stock, short product lifetimes, and near-zero salvage value—forcing them to balance price, time, and sell-through in a mathematically disciplined way.
The markdown optimization model focuses on merchandise with a limited life cycle, where timing is everything:
These products face non-replenishable demand horizons—once the selling season ends, their economic value sharply declines.
À propos de l'auteur
Cyril Noirot
Lead Data Scientist
Data scientist freelance. Je conçois et déploie des systèmes de décision — prévision, pricing, marketing measurement, optimisation.