PinnedDemand Planners RulebookWhat should demand planners do and not do? First, we emphasize critical practices for demand planning (viewing forecasting as an…Jul 221Jul 221
PinnedPublished inTowards Data ScienceForecast KPI: RMSE, MAE, MAPE & BiasThe article below is an extract from my book Data Science for Supply Chain Forecast, available here. You can find my other articles here:Jul 5, 20198Jul 5, 20198
How to set Forecasting Accuracy TargetsHow should supply chain leaders set forecasting accuracy targets? In this article, I first review three techniques to set targets (industry…Sep 21Sep 21
Supply Chain KPIs: When Incentives and Bonuses Are ToxicTracking KPIs is essential to manage supply chains, but incentivizing individuals based on metrics can backfire. This article provides…Oct 11, 2023Oct 11, 2023
How to Select Supply Chain KPIsThis article explores the risks of using inadequate KPIs for supply chain management. Starting with stories from the trenches, we structure…Oct 5, 2023Oct 5, 2023
Stop Using Segmented ForecastingWith advancements in technology and data analytics, demand forecasting is experiencing a significant transformation. The traditional…Jul 17, 20232Jul 17, 20232
Outlier Detection and CorrectionThis article is a comprehensive guide to managing sales outliers. It begins by dissecting the root causes of outliers in sales order data…Jul 5, 2023Jul 5, 2023
How to Forecast Intermittent ProductsThis article explores one of the most challenging problems in supply chain management: forecasting intermittent demand. We first delve into…Jun 29, 20232Jun 29, 20232
How to Reduce Your Forecasting Error by 35%This article presents a clear step-by-step approach to reducing your forecasting by up to 35%: collect and clean your data, use machine…Jun 7, 2023Jun 7, 2023
How to Forecast New Products: Challenges and SolutionsThis article tackles the challenge of forecasting new products. First, we divide product introductions into three cases: new version, line…May 24, 2023May 24, 2023