---
product_id: 316164897
title: "Data Science for Supply Chain Forecasting"
price: "$138.68"
currency: USD
in_stock: true
reviews_count: 8
url: https://www.desertcart.ec/products/316164897-data-science-for-supply-chain-forecasting
store_origin: EC
region: Ecuador
---

# Data Science for Supply Chain Forecasting

**Price:** $138.68
**Availability:** ✅ In Stock

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- **What is this?** Data Science for Supply Chain Forecasting
- **How much does it cost?** $138.68 with free shipping
- **Is it available?** Yes, in stock and ready to ship
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## Description

Data Science for Supply Chain Forecasting [Vandeput, Nicolas] on desertcart.com. *FREE* shipping on qualifying offers. Data Science for Supply Chain Forecasting

Review: Practical hands-on book for supply chain professionals and data analysts - Nicolas style to write books displays his strong academic foundation as well as his vast experience in consulting various companies. The synergy of theory and practical application makes the content lively. The language is supply chain and data analysis specific, but yet simple enough and easy to understand. The book is well structured and the chapters build upon each other. I really enjoy the sub-structure of first being presented with the context, then theory and finally the call-to-action to apply the knowledge either in excel or python - this definitely helped to fortify each chapter's content. Nicolas challenges you to not only "having heard about it" but actually "know how it's done" - of course it's up to you what you choose to do. I work in aerospace and used the content of this book to develop a machine learning forecasting model which uses fleet flight hours, meantime between failures, meantime between unscheduled repairs and known maintenance intervals to forecast the predicted influx of returned parts from the field. This helped better prepare any required inventory to ensure short turnaround times and bring parts back into service as quickly as possible. Using this forecasting model and knowing the accuracy/error of your forecast, you can simply take this parameter as "demand deviation" and optimize your inventory to account for the known fluctuations, while achieving a cost optimal inventory level or target service/fill rate level. If you want to learn more about inventory optimization, I strongly recommend to check out Nicolas' book "Inventory Optimization", which is my personal favorite. To summarize, the book "Data Science for Supply Chain Forecasting" is great resource for any data analyst who wants to increase exposure to simple and advanced forecasting methods - in my opinion this book is useful in many other disciplines than only supply chain, e.g. also in planning, sales, operations, etc.
Review: Great tips, good code, excellent book - As a consultant and as a teacher, I have truly enjoyed reading this book. Apart from the Python code it provides, which is easily understandable even for beginners in Python, Nicholas also gives many interesting points of view about commonly confusing concepts in supply chain. I highly recommend it.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #539,546 in Books ( See Top 100 in Books ) #245 in Data Processing #273 in Production & Operations #3,541 in Business Management (Books) |
| Customer Reviews | 4.5 out of 5 stars 107 Reviews |

## Images

![Data Science for Supply Chain Forecasting - Image 1](https://m.media-amazon.com/images/I/71T+cOcZX4L.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ Practical hands-on book for supply chain professionals and data analysts
*by K***N on October 1, 2023*

Nicolas style to write books displays his strong academic foundation as well as his vast experience in consulting various companies. The synergy of theory and practical application makes the content lively. The language is supply chain and data analysis specific, but yet simple enough and easy to understand. The book is well structured and the chapters build upon each other. I really enjoy the sub-structure of first being presented with the context, then theory and finally the call-to-action to apply the knowledge either in excel or python - this definitely helped to fortify each chapter's content. Nicolas challenges you to not only "having heard about it" but actually "know how it's done" - of course it's up to you what you choose to do. I work in aerospace and used the content of this book to develop a machine learning forecasting model which uses fleet flight hours, meantime between failures, meantime between unscheduled repairs and known maintenance intervals to forecast the predicted influx of returned parts from the field. This helped better prepare any required inventory to ensure short turnaround times and bring parts back into service as quickly as possible. Using this forecasting model and knowing the accuracy/error of your forecast, you can simply take this parameter as "demand deviation" and optimize your inventory to account for the known fluctuations, while achieving a cost optimal inventory level or target service/fill rate level. If you want to learn more about inventory optimization, I strongly recommend to check out Nicolas' book "Inventory Optimization", which is my personal favorite. To summarize, the book "Data Science for Supply Chain Forecasting" is great resource for any data analyst who wants to increase exposure to simple and advanced forecasting methods - in my opinion this book is useful in many other disciplines than only supply chain, e.g. also in planning, sales, operations, etc.

### ⭐⭐⭐⭐⭐ Great tips, good code, excellent book
*by W***Z on July 14, 2021*

As a consultant and as a teacher, I have truly enjoyed reading this book. Apart from the Python code it provides, which is easily understandable even for beginners in Python, Nicholas also gives many interesting points of view about commonly confusing concepts in supply chain. I highly recommend it.

### ⭐⭐⭐⭐⭐ Great Book
*by J***K on October 22, 2021*

It should be a standard position for all people working in supply chain. Very accessible language giving strong fundamentals to deep dive into more complicated SCM topics

## Frequently Bought Together

- Data Science for Supply Chain Forecasting
- Inventory Optimization: Models and Simulations
- Demand Forecasting Best Practices

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*Product available on Desertcart Ecuador*
*Store origin: EC*
*Last updated: 2026-03-05*