---
product_id: 532615939
title: "Demand Forecasting Best Practices"
price: "350 Lei"
currency: RON
in_stock: true
reviews_count: 6
url: https://www.desertcart.ro/products/532615939-demand-forecasting-best-practices
store_origin: RO
region: Romania
---

# Ranked #112 in Data Mining 33 customer reviews, 4.7⭐ avg Free delivery on eligible orders Demand Forecasting Best Practices

**Price:** 350 Lei
**Availability:** ✅ In Stock

## Summary

> 📈 Elevate your demand forecasting game—don’t get left behind in the data-driven era!

## Quick Answers

- **What is this?** Demand Forecasting Best Practices
- **How much does it cost?** 350 Lei with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.ro](https://www.desertcart.ro/products/532615939-demand-forecasting-best-practices)

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- Customers looking for quality international products

## Why This Product

- Free international shipping included
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## Key Features

- • **Convenient Access:** Enjoy everyday low prices with free delivery, making it easy to get your hands on this resource.
- • **Data Mining Authority:** Ranks impressively at #112 in Data Mining books, signaling niche relevance.
- • **Highly Rated by Readers:** Boasts a strong 4.7-star average from 33 reviews, reflecting solid reader engagement.

## Overview

Demand Forecasting Best Practices by Nicolas Vandeput is a moderately popular book in the data mining and managerial computing space, offering a broad overview of demand forecasting concepts. While it has garnered positive reader ratings and ranks well within its niche, the content is considered basic and somewhat inconsistent, making it more suitable for newcomers seeking a general introduction rather than seasoned professionals looking for deep, practical insights.

## Description

Buy Demand Forecasting Best Practices 1 by Vandeput, Nicolas (ISBN: 9781633438095) from desertcart's Book Store. Everyday low prices and free delivery on eligible orders.

Review: Underwhelming and very basic - I grabbed this book in the anticipation of great content to follow author's previous two books (which I highly recommend!). I must sadly report I was hugely disappointed. The book feels like a collection of articles from Medium, which glance over the subjects without going to any practical details. It also feels like various chapters/articles were written at different stages of author's experimentations and experience with modern technology because you will find various contradictions in the text. For instance, at one point author claims that going to granular details is impossible because of required computational resources, when at other point he says that computational resources are currently "virtually limitless". Moreover, some of the material is up to speed with modern science and technology (although he appears to be confused about terms such as AI, ML etc, or at the very least he's not in synch with majority of computer science/data science definitions and creates his own) but at other times he seems to be completely oblivious to modern research in areas such as hierarchical forecast reconciliation and presents material that was popular back in 1970's. Also the treatment of some of the problems, such as lost sales is very simplistic and wouldn't stand the test of some of the more complex supply chains. But perhaps my biggest issue with this book is that I'm not sure who the target audience is supposed to be. Any supply chain professional who had any form of training and experience will find this very basic and redundant (ok most of it). Complete beginners will find it confusing because it doesn't go into necessary depths and honestly, there are books out there that serve much better as a primer to demand planning. There are few precious gems that I would love to rub into the face of majority of senior leaders in finance, sales and marketing, but they are just a few of them and dint warrant purchasing the whole book. And unlike previous books, this one doesn't go into any practical details (with a few extensions, most notably the forecast accuracy chapter, which again, misses a few key points). Overall, the book is not bad, it's just that it's very shallow and it feels like it's trying to advertise author's services as a supply chain consultant rather that teach anything practical. Mr Vandeput, you can do much better than this. You showed us that you can before.
Review: Nicholas has a great impact in my career, his insights on forecasting and demand planning is helpful. His books and wisdom have guided me a lot and expertise continues to inspire me.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | 421,101 in Books ( See Top 100 in Books ) 144 in Data Mining (Books) 400 in Managers' Guides to Computing 39,350 in Reference (Books) |
| Customer reviews | 4.7 4.7 out of 5 stars (33) |
| Dimensions  | 18.73 x 1.27 x 23.5 cm |
| Edition  | 1st |
| ISBN-10  | 1633438090 |
| ISBN-13  | 978-1633438095 |
| Item weight  | 363 g |
| Language  | English |
| Print length  | 216 pages |
| Publication date  | 31 July 2023 |
| Publisher  | Manning Publications |

## Images

![Demand Forecasting Best Practices - Image 1](https://m.media-amazon.com/images/I/61SdxY8jZML.jpg)

## Customer Reviews

### ⭐⭐⭐ Underwhelming and very basic
*by P***S on 30 March 2024*

I grabbed this book in the anticipation of great content to follow author's previous two books (which I highly recommend!). I must sadly report I was hugely disappointed. The book feels like a collection of articles from Medium, which glance over the subjects without going to any practical details. It also feels like various chapters/articles were written at different stages of author's experimentations and experience with modern technology because you will find various contradictions in the text. For instance, at one point author claims that going to granular details is impossible because of required computational resources, when at other point he says that computational resources are currently "virtually limitless". Moreover, some of the material is up to speed with modern science and technology (although he appears to be confused about terms such as AI, ML etc, or at the very least he's not in synch with majority of computer science/data science definitions and creates his own) but at other times he seems to be completely oblivious to modern research in areas such as hierarchical forecast reconciliation and presents material that was popular back in 1970's. Also the treatment of some of the problems, such as lost sales is very simplistic and wouldn't stand the test of some of the more complex supply chains. But perhaps my biggest issue with this book is that I'm not sure who the target audience is supposed to be. Any supply chain professional who had any form of training and experience will find this very basic and redundant (ok most of it). Complete beginners will find it confusing because it doesn't go into necessary depths and honestly, there are books out there that serve much better as a primer to demand planning. There are few precious gems that I would love to rub into the face of majority of senior leaders in finance, sales and marketing, but they are just a few of them and dint warrant purchasing the whole book. And unlike previous books, this one doesn't go into any practical details (with a few extensions, most notably the forecast accuracy chapter, which again, misses a few key points). Overall, the book is not bad, it's just that it's very shallow and it feels like it's trying to advertise author's services as a supply chain consultant rather that teach anything practical. Mr Vandeput, you can do much better than this. You showed us that you can before.

### ⭐⭐⭐⭐⭐ Review
*by N***R on 13 October 2023*

Nicholas has a great impact in my career, his insights on forecasting and demand planning is helpful. His books and wisdom have guided me a lot and expertise continues to inspire me.

### ⭐⭐⭐⭐⭐ Review
*by D***O on 27 May 2024*

Esta me ajudando muito, estou começando na área e cobre muito do que um iniciante precisa. Dando clareza ao que significa previsão de demanda

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*Product available on Desertcart Romania*
*Store origin: RO*
*Last updated: 2026-01-31*