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Demand Forecasting Best Practices, Video Edition

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Demand Forecasting Best Practices, Video Edition (Size: 1.1 GB)
  Get Bonus Downloads Here.url 204.8 B
  ~Get Your Files Here !
  001. Part 1 Forecasting demand.en.srt 1 KB
  001. Part 1 Forecasting demand.mp4 2.2 MB
  002. Chapter 1 Demand forecasting excellence.en.srt 4.4 KB
  002. Chapter 1 Demand forecasting excellence.mp4 11 MB
  003. Chapter 1 Five steps to demand planning excellence.en.srt 9 KB
  003. Chapter 1 Five steps to demand planning excellence.mp4 2.1 MB
  004. Chapter 1 Summary.en.srt 1.2 KB
  004. Chapter 1 Summary.mp4 7.3 MB
  005. Chapter 2 Introduction to demand forecasting.en.srt 1.9 KB
  005. Chapter 2 Introduction to demand forecasting.mp4 5.2 MB
  006. Chapter 2 Definitions.en.srt 11.1 KB
  006. Chapter 2 Definitions.mp4 36.8 MB
  007. Chapter 2 Summary.en.srt 512 B
  007. Chapter 2 Summary.mp4 1.8 MB
  008. Chapter 3 Capturing unconstrained demand (and not sales).en.srt 8.8 KB
  008. Chapter 3 Capturing unconstrained demand (and not sales).mp4 26.1 MB
  009. Chapter 3 Shortage-Censoring and Uncollected Orders.en.srt 4 KB
  009. Chapter 3 Shortage-Censoring and Uncollected Orders.mp4 10.2 MB
  010. Chapter 3 Substitution and cannibalization.en.srt 3.2 KB
  010. Chapter 3 Substitution and cannibalization.mp4 2.2 MB
  011. Chapter 3 Summary.en.srt 716.8 B
  011. Chapter 3 Summary.mp4 3.1 MB
  012. Chapter 4 Collaboration data sharing and planning alignment.en.srt 3.7 KB
  012. Chapter 4 Collaboration data sharing and planning alignment.mp4 6.8 MB
  013. Chapter 4 Bullwhip effect.en.srt 13.4 KB
  013. Chapter 4 Bullwhip effect.mp4 37.2 MB
  014. Chapter 4 Collaborative planning.en.srt 13.5 KB
  014. Chapter 4 Collaborative planning.mp4 40.4 MB
  015. Chapter 4 Summary.en.srt 1 KB
  015. Chapter 4 Summary.mp4 2.5 MB
  016. Chapter 5 Forecasting hierarchies.en.srt 2.7 KB
  016. Chapter 5 Forecasting hierarchies.mp4 5.7 MB
  017. Chapter 5 Zooming in or out of forecasts.en.srt 3.4 KB
  017. Chapter 5 Zooming in or out of forecasts.mp4 11.4 MB
  018. Chapter 5 How do you select the most appropriate aggregation level.en.srt 12.1 KB
  018. Chapter 5 How do you select the most appropriate aggregation level.mp4 38.3 MB
  019. Chapter 5 Summary.en.srt 1.7 KB
  019. Chapter 5 Summary.mp4 10.5 MB
  020. Chapter 6 How long should the forecasting horizon be.en.srt 5.4 KB
  020. Chapter 6 How long should the forecasting horizon be.mp4 2.1 MB
  021. Chapter 6 Reconciling demand forecasting and supply planning.en.srt 3.1 KB
  021. Chapter 6 Reconciling demand forecasting and supply planning.mp4 10.9 MB
  022. Chapter 6 Looking further ahead.en.srt 2.9 KB
  022. Chapter 6 Looking further ahead.mp4 6.4 MB
  023. Chapter 6 Going further Lost sales vs backorders.en.srt 5.4 KB
  023. Chapter 6 Going further Lost sales vs backorders.mp4 14 MB
  024. Chapter 6 Summary.en.srt 921.6 B
  024. Chapter 6 Summary.mp4 4.8 MB
  025. Chapter 7 Should we reconcile forecasts to align supply chains.en.srt 3 KB
  025. Chapter 7 Should we reconcile forecasts to align supply chains.mp4 6.5 MB
  026. Chapter 7 One number forecast.en.srt 3 KB
  026. Chapter 7 One number forecast.mp4 14.8 MB
  027. Chapter 7 Different hierarchies different optimal forecasts.en.srt 10.1 KB
  027. Chapter 7 Different hierarchies different optimal forecasts.mp4 31.7 MB
  028. Chapter 7 One number mindset.en.srt 4.4 KB
  028. Chapter 7 One number mindset.mp4 20.4 MB
  029. Chapter 7 Summary.en.srt 614.4 B
  029. Chapter 7 Summary.mp4 2.5 MB
  030. Part 2 Measuring forecasting quality.en.srt 1.1 KB
  030. Part 2 Measuring forecasting quality.mp4 5 MB
  031. Chapter 8 Forecasting metrics.en.srt 6.6 KB
  031. Chapter 8 Forecasting metrics.mp4 14.4 MB
  032. Chapter 8 Forecast error and bias.en.srt 10 KB
  032. Chapter 8 Forecast error and bias.mp4 21.4 MB
  033. Chapter 8 Mean Absolute Error (MAE).en.srt 4.6 KB
  033. Chapter 8 Mean Absolute Error (MAE).mp4 2.1 MB
  034. Chapter 8 Mean Absolute Percentage Error (MAPE).en.srt 4.3 KB
  034. Chapter 8 Mean Absolute Percentage Error (MAPE).mp4 8.7 MB
  035. Chapter 8 Root Mean Square Error (RMSE).en.srt 4.1 KB
  035. Chapter 8 Root Mean Square Error (RMSE).mp4 7.4 MB
  036. Chapter 8 Case study _ Part 1.en.srt 2.1 KB
  036. Chapter 8 Case study _ Part 1.mp4 3.7 MB
  037. Chapter 8 Summary.en.srt 409.6 B
  037. Chapter 8 Summary.mp4 1.6 MB
  038. Chapter 9 Choosing the best forecasting KPI.en.srt 2.7 KB
  038. Chapter 9 Choosing the best forecasting KPI.mp4 4.9 MB
  039. Chapter 9 Intermittent demand.en.srt 2.1 KB
  039. Chapter 9 Intermittent demand.mp4 4.5 MB
  040. Chapter 9 The best forecasting KPI.en.srt 3.5 KB
  040. Chapter 9 The best forecasting KPI.mp4 7.3 MB
  041. Chapter 9 Case study _ Part 2.en.srt 3.7 KB
  041. Chapter 9 Case study _ Part 2.mp4 10.7 MB
  042. Chapter 9 Summary.en.srt 614.4 B
  042. Chapter 9 Summary.mp4 2.3 MB
  043. Chapter 10 What is a good forecast error.en.srt 11.4 KB
  043. Chapter 10 What is a good forecast error.mp4 31 MB
  044. Chapter 10 Why tracking demand coefficient of variation is not recommended.en.srt 4.1 KB
  044. Chapter 10 Why tracking demand coefficient of variation is not recommended.mp4 10.3 MB
  045. Chapter 10 Summary.en.srt 1.3 KB
  045. Chapter 10 Summary.mp4 8 MB
  046. Chapter 11 Measuring forecasting accuracy on a product portfolio.en.srt 5 KB
  046. Chapter 11 Measuring forecasting accuracy on a product portfolio.mp4 9.4 MB
  047. Chapter 11 Value-weighted KPIs.en.srt 3.7 KB
  047. Chapter 11 Value-weighted KPIs.mp4 13.6 MB
  048. Chapter 11 Summary.en.srt 614.4 B
  048. Chapter 11 Summary.mp4 2.1 MB
  049. Part 3 Data-driven forecasting process.en.srt 1 KB
  049. Part 3 Data-driven forecasting process.mp4 2.3 MB
  050. Chapter 12 Forecast value added.en.srt 8.9 KB
  050. Chapter 12 Forecast value added.mp4 26.4 MB
  051. Chapter 12 Tracking Forecast Value Added.en.srt 17.2 KB
  051. Chapter 12 Tracking Forecast Value Added.mp4 54.5 MB
  052. Chapter 12 Summary.en.srt 1.2 KB
  052. Chapter 12 Summary.mp4 7.1 MB
  053. Chapter 13 What do you review ABC XYZ segmentations and other methods.en.srt 5.3 KB
  053. Chapter 13 What do you review ABC XYZ segmentations and other methods.mp4 12.8 MB
  054. Chapter 13 Using ABC XYZ for demand forecasting.en.srt 7.7 KB
  054. Chapter 13 Using ABC XYZ for demand forecasting.mp4 20.6 MB
  055. Chapter 13 Beyond ABC XYZ Smart multi-criteria classification.en.srt 5.7 KB
  055. Chapter 13 Beyond ABC XYZ Smart multi-criteria classification.mp4 25.9 MB
  056. Chapter 13 Summary.en.srt 1.2 KB
  056. Chapter 13 Summary.mp4 2.8 MB
  057. Part 4 Forecasting methods.en.srt 614.4 B
  057. Part 4 Forecasting methods.mp4 2.1 MB
  058. Chapter 14 Statistical forecasting.en.srt 7.7 KB
  058. Chapter 14 Statistical forecasting.mp4 20.7 MB
  059. Chapter 14 Predictive analytics and demand drivers.en.srt 27.7 KB
  059. Chapter 14 Predictive analytics and demand drivers.mp4 75.5 MB
  060. Chapter 14 Times series forecasting vs predictive analytics.en.srt 2.9 KB
  060. Chapter 14 Times series forecasting vs predictive analytics.mp4 11.7 MB
  061. Chapter 14 How to select a model.en.srt 13.7 KB
  061. Chapter 14 How to select a model.mp4 38.7 MB
  062. Chapter 14 Summary.en.srt 1.5 KB
  062. Chapter 14 Summary.mp4 11.4 MB
  063. Chapter 15 Machine learning.en.srt 19.5 KB
  063. Chapter 15 Machine learning.mp4 45 MB
  064. Chapter 15 Main types of learning algorithms.en.srt 16.9 KB
  064. Chapter 15 Main types of learning algorithms.mp4 47.1 MB
  065. Chapter 15 What should you expect from ML-driven demand forecasting.en.srt 7 KB
  065. Chapter 15 What should you expect from ML-driven demand forecasting.mp4 19.6 MB
  066. Chapter 15 How to launch a machine-learning initiative.en.srt 5.1 KB
  066. Chapter 15 How to launch a machine-learning initiative.mp4 19 MB
  067. Chapter 15 Summary.en.srt 921.6 B
  067. Chapter 15 Summary.mp4 3.3 MB
  068. Chapter 16 Judgmental forecasting.en.srt 7.9 KB
  068. Chapter 16 Judgmental forecasting.mp4 24.1 MB
  069. Chapter 16 Judgmental biases.en.srt 19.2 KB
  069. Chapter 16 Judgmental biases.mp4 71.9 MB
  070. Chapter 16 Group forecasts.en.srt 15.5 KB
  070. Chapter 16 Group forecasts.mp4 50.7 MB
  071. Chapter 16 Summary.en.srt 3.6 KB
  071. Chapter 16 Summary.mp4 14.3 MB
  072. Chapter 17 Now it_s your turn!.en.srt 7.4 KB
  072. Chapter 17 Now it_s your turn!.mp4 1.9 MB
  Bonus Resources.txt 102.4 B

Description


Demand Forecasting Best Practices, Video Edition

https://WebToolTip.com

Published 7/2023
By Nicolas Vandeput
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 5h 18m | Size: 1.13 GB

Lead your demand planning process to excellence and deliver real value to your supply chain.

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.

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.

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