Demand Forecasting Best Practices (Hardcover). Questo articolo non è disponibile.
Lingua: inglese
Editore: Manning Publications, New York, 2023
- Rilegato
- Nuovo
Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
Venditore AbeBooks dal 29 giugno 2022
Condizione: Nuovo
EUR 65,21
Descrizione dell’articolo da parte del venditore
Hardcover. Master the demand forecasting skills you need to decide what resources to acquire, products to produce, and where and how to distribute them. For demand planners, S&OP managers, supply chain leaders, and data scientists. Demand Forecasting Best Practices is a unique step-by-step guide, demonstrating forecasting tools, metrics, and models alongside stakeholder management techniques that work in a live business environment. You will learn how to: Lead a demand planning team to improve forecasting quality while reducing workloadProperly define the objectives, granularity, and horizon of your demand planning processUse smart, value-weighted KPIs to track accuracy and biasSpot areas of your process where there is room for improvementHelp planners and stakeholders (sales, marketing, finances) add value to your processIdentify what kind of data you should be collecting, and howUtilise different types of statistical and machine learning models Follow author Nicolas Vandeput's original five-step framework for demand planning excellence and learn how to tailor it to your own company's needs. You will learn how to optimise demand planning for a more effective supply chain and will soon be delivering accurate predictions that drive major business value. About the technology Demand forecasting is vital for the success of any product supply chain. It allows companies to make better decisions about what resources to acquire, what products to produce, and where and how to distribute them. As an effective demand forecaster, you can help your organisation avoid overproduction, reduce waste, and optimise inventory levels for a real competitive advantage. Demand Forecasting Best Practices is a unique step-by-step guide, ideal for demand planners, S&OP managers, supply chain leaders and data scientists, demonstrating forecasting tools, metrics, and models alongside stakeholder management techniques that work in a live business environment. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…
Codice articolo 9781633438095
- Titolo
- Demand Forecasting Best Practices (Hardcover)
- Autore
- Nicolas Vandeput
- Editore
- Manning Publications, New York
- Anno di pubblicazione
- 2023
- Condizione
- new
- Rilegatura
- Hardcover
- Lingua
- inglese
- ISBN 10
- 1633438090
- ISBN 13
- 9781633438095
In Demand Forecasting Best Practices you’ll learn how to:
- Lead your team to improve quality while reducing workload
- Properly define the objectives and granularity of your demand planning
- Use intelligent KPIs to track accuracy and bias
- Identify areas for process improvement
- Help planners and stakeholders add value
- Determine relevant data to collect and how best to collect it
- Utilize different statistical and machine learning models
An expert demand forecaster can help an organization avoid overproduction, reduce waste, and optimize inventory levels for a real competitive advantage. Demand Forecasting Best Practices teaches you how to become that virtuoso demand forecaster.
This one-of-a-kind guide reveals forecasting tools, metrics, models, and stakeholder management techniques for delivering more effective supply chains. Everything you learn has been proven and tested in a live business environment. Discover author Nicolas Vandeput’s original five step framework for demand planning excellence and learn how to tailor it to your own company’s needs. Illustrations and real-world examples make each concept easy to understand and easy to follow. You’ll soon be delivering accurate predictions that are driving major business value.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
About the Technology
An expert demand forecaster can help an organization avoid overproduction, reduce waste, and optimize inventory levels for a real competitive advantage. This book teaches you how to become that virtuoso demand forecaster.
About the Book
Demand Forecasting Best Practices reveals forecasting tools, metrics, models, and stakeholder management techniques for managing your demand planning process efficiently and effectively. Everything you learn has been proven and tested in a live business environment. Discover author Nicolas Vandeput’s original five step framework for demand planning excellence and learn how to tailor it to your own company’s needs. Illustrations and real-world examples make each concept easy to understand and easy to follow. You’ll soon be delivering accurate predictions that are driving major business value.
What's Inside
- Enhance forecasting quality while reducing team workload
- Utilize intelligent KPIs to track accuracy and bias
- Identify process areas for improvement
- Assist stakeholders in sales, marketing, and finance
- Optimize statistical and machine learning models
About the Reader
For demand planners, sales and operations managers, supply chain leaders, and data scientists.
About the Author
Nicolas Vandeput is a supply chain data scientist, the founder of consultancy company SupChains in 2016, and a teacher at CentraleSupélec, France.
Table of Contents:
Part 1 - Forecasting demand
1 Demand forecasting excellence
2 Introduction to demand forecasting
3 Capturing unconstrained demand (and not sales)
4 Collaboration: data sharing and planning alignment
5 Forecasting hierarchies
6 How long should the forecasting horizon be?
7 Should we reconcile forecasts to align supply chains?
Part 2 - Measuring forecasting quality
8 Forecasting metrics
9 Choosing the best forecasting KPI
10 What is a good forecast error?
11 Measuring forecasting accuracy on a product portfolio
Part 3 - Data-driven forecasting process
12 Forecast value added
13 What do you review? ABC XYZ segmentations and other methods
Part 4 - Forecasting methods
14 Statistical forecasting
15 Machine learning
16 Judgmental forecasting
17 Now it’s your turn!
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