Demand forecasting

Forecasting workshops

Forecasting training

Forecasting training

Many years of experience are brought to bear in delivering advice on all matters related to demand analysis and sales forecasting, whether it is on techniques, process and procedures, or specification and selection of suitable software. We can help to draw up the route map for change, provide full project management support as necessary and augment this with suitable demand forecasting training courses for all involved.

Click here to request outline contents of the Introduction to Forecasting course

Forecasting workshops and training courses

Sales forecasting training is tailored to meet the needs of the individuals concerned with course content ranging from a non-technical appreciation of the subject to more detailed exploration of techniques and processes.

The one day course 'Introduction to Forecasting' covers a range of topics including the different approaches to sales forecasting, methods used for short term demand forecasting and sales and operations planning, seasonal analysis, forecast accuracy measurement and how to deal with market information. There is a certain technical content, but the use of advanced mathematical or statistical methods is avoided. The course is suitable for demand forecasting managers, analysts, demand planners and others in related areas.

In the 'Two day forecasting workshop' more time can be spent on each topic and, when appropriate, the statistical detail is expanded. The number of worked examples and case studies is increased. The company's own data can be used in the exercises and time can be made for consideration of problems and issues in the real business.   

Another forecasting training course 'Appreciation of Forecasting' is completely non-technical and is delivered over a shorter time, approximately half a day, to give an overview of the subject. The aim is to assist those who interface with or collaborate in the demand forecasting process, for example, members of the sales team.

• Sales forecasting process improvement
• Forecast accuracy measurement
• Weather sensitivity and price sensitivity analysis