Forecasting
Paper Announcement: A Practical Approach to Replenishment Optimization with Extended (R, s, Q) Policy and Probabilistic Models
Our short summary of Zalando’s engineering write-up. The full story, with all the detail, is on their blog.
Read the full write-up on engineering.zalando.com (opens in a new tab)Problem
Zalando needed to avoid stock-outs and excess inventory while handling uncertain demand.
Solution
They built a simulation‑driven engine that uses probabilistic demand forecasts, extended reorder policies, and Monte Carlo runs to pick robust replenishment plans.
Want the architecture, code and numbers? They’re in the original post.
Read the full write-up on engineering.zalando.com (opens in a new tab)