Latest industry insights, tutorials, best practices and case studies.
5 articles
For seasonal and promotional goods the hard part is rhythm, not formulas: build-up, peak and clearance phases each have different objective functions. Seasonal indices, uplift estimation, phased replenishment and clearance tactics.
Stockouts and overstock are two faces of the same coin. Five recurring pitfalls in replenishment models — uniform parameters, the average trap, promotion contamination, one-sided KPIs and stale parameters — and how to correct each.
A practical comparison of moving average, exponential smoothing (SES/Holt/Holt-Winters), Croston and machine-learning methods for e-commerce replenishment, with SKU-tiered selection guidance.
The statistics behind safety stock: the classic formula, z-scores per service level, the combined demand-and-lead-time variability formula, plus a worked example and code.
Why experience-based ordering breaks down, what data-driven replenishment actually consists of, and a pragmatic maturity path for e-commerce and retail teams.
