About the author
Cyril Noirot
Lead Data Scientist
Freelance data scientist. I design and ship decision systems — forecasting, pricing, marketing measurement, optimization — for teams making high-stakes calls.
Forecasting
For Markdown modeling, predict sell-through rate and not sales volume
Sales volume mixes demand and inventory effects. Sell-through rate captures what actually matters: how fast inventory clears under pricing and context constraints.
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Forecasting7 min
Designing a Markdown Optimization Engine with States
Markdown planning explodes when weeks, events, discount levels, and phases are modeled as separate dimensions. Collapsing each week into a single state turns it into a clean optimization problem.
Forecasting5 min
Demand Planning des nouveaux produits : le plus grand angle mort du forecasting
Pourquoi le forecast de lancement produit est souvent un exercice politique plus qu'une estimation robuste, et comment le transformer en système probabiliste et explicable.
Forecasting10 min
Probabilistic Forecasting in Travel Retail - Part 2: Gradient Boosting Quantile Regression
Deep dive into gradient boosting trees with quantile regression for robust uncertainty estimation in travel retail forecasting.
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