Executive Forecasting – Sep 22

£795.00 + VAT

The course is designed to allow participants to link techniques with experience from the workplace.  Attendees are encouraged to bring their personal examples and challenges in this area and the course will aid them to find effective improvements that can be implemented and provide a real return on the investment in this training.

1 DAY Course September 22nd 2017

Description

The course is designed to allow participants to link techniques with experience from the workplace.  Attendees are encouraged to bring their personal examples and challenges in this area and the course will aid them to find effective improvements that can be implemented and provide a real return on the investment in this training

Supply chains are rarely aligned to support the business strategy.

Functional teams often have competing priorities, of supply and demand. The result can be lost sales, write-downs and discounts, the additional cost to ship and warehouse excess inventory and obsolete stock.

To address this, this workshop is designed to help you produce realistic forecasts. You will develop practical forecasting skills within the context of your professional practice. You will gain a more professional approach to forecasting – incorporating better planning, analysis and interpretation. The course will give you increased confidence in the forecasts created and ultimately the performance delivered.

More effective forecasting can help your organisation to achieve better customer service at a lower cost and with less working capital. Better forecasts lead directly to improvements in availability of stock or service resources and reductions in obsolescence.

A win – win for your company and your supply chain.

By the end of this course participants will be able to:

 

  • automatically create custom forecast models
  • identify series that do not have acceptable forecast accuracy
  • refine forecast models to improve forecast accuracy
  • generate forecast data sets for deployment
  • accommodate data updates in large-scale time series data sets.

Course Outline

  • Why forecasts are necessary
  • Simple statistical techniques
  • Subjective versus objective forecasting
  • Advanced techniques
  • Causal model
  • Product segmentation for efficient forecasting
  • The forecasting process
  • How to improve forecast accuracy

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