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
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.
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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.
Forecasting6 min
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.
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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