The SupChains Way

Our way of doing demand and inventory planning, written down as 13 practices, with the 16 articles behind them and an AI-ready file to paste into ChatGPT or Claude.

Download the SupChains Way

Books

Buy our books

Data Science for Supply Chain Forecasting

4.6 (98 ratings)

310 pages
April 2021

Cover of Data Science for Supply Chain Forecasting, by Nicolas Vandeput

Inventory Optimization: Models and Simulations

4.7 (116 ratings)

318 pages
September 2020

Cover of Inventory Optimization: Models and Simulations, by Nicolas Vandeput

Demand Forecasting Best Practices

4.7 (31 ratings)

216 pages
July 2023

Cover of Demand Forecasting Best Practices, by Nicolas Vandeput

Articles

All our articles

How Demand Planners Should (Not) Collaborate with Finance

2026-08-19

Should You Forecast Demand per Customer? (Usually Not)

2026-07-15

Outgrowing the Safety Stock Formula

2026-05-11

Udemy Training Course

Demand Forecasting KPIs for Supply Chain Planning

What you will learn

How to compute RMSE, MAE, MAPE, WMAPE, and Bias
Pros and Cons of each forecasting metric
Which forecasting metric(s) to use when evaluating the quality of a forecast
Evaluate the quality of a forecast using relevant KPIs
Why MAPE is the worst forecasting KPI and what to do instead

Go

Udemy course: Optimize Inventory Planning

Inventory Planning: How to Optimize Inventory Policies

What you will learn

Apply inventory policies
Simulate policies using historical demand and forecasts data
Optimize policies to minimize cost or to find the best service/inventory trade-off

Go