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9 & 10 July 2018 -  M Hotel, Singapore

The Course

Market/Demand-Driven forecasting and supply chain delivers customer value, defines and delivers competitive advantage, and generates free cash flow. S&OP process has been traditionally important operations management process, however, its design remained essentially unchanged for more than 40 years. A significantly more dynamic, customer-focused, and forward-thinking S&OP model is needed to achieve success. The market-driven supply chain needs to be managed by an S&OP process with lots of market savvy.

The course has been designed to enable a good understanding of various forecasting methods that are typically used across many industries, their strengths and weaknesses will be discussed and how to bridge this knowledge to demand-driven forecasting and S&OP process. The time will be spent on evaluation of some important KPIs and their interpretation. Understanding concepts of demand sensing, demand shaping and steering and demand orchestration and how they link to the supply chain execution will be covered as well. Purdue University and SAS surveys suggests that Demand-Driven Forecasting has become a number 1 priority in recent years. The course will also discuss Strategic Value Assessment approach to evaluation of business readiness to move to demand-driven S&OP process. Demand Sensing continues to provide a consistent step change in forecast accuracy, helping mitigate the effect of volatile market conditions. Demand Sensing reduced average weekly error from 48% to 30% for all companies combined, for a 38% reduction in forecast error.


How Will I Benefit?

1. Establish a process for effective forecasting.

2. Select the forecasting and analytical techniques most appropriate for any given forecasting problem.

3. Learn how to analyse historical data fast and accurately to improve statistical forecast quality and accuracy

4. Understand how to evaluate performance of a statistical model

5. Learn how to interpret ‘residuals’ and model diagnostics to support effective model-building effort.

6. Benefit from understanding techniques of combining various forecasts to improve forecast accuracy and stability.

6. Gain solid understanding of data and the processes generating data and forecasts, thus increasing the ability to manage your staff’s time
required to produce more accurate forecasts and decreasing dependence on software logic.

7. Understand the exception driven forecast process and how to implement it in your organization.

8. Learn the ways to incorporate market data into statistical forecasting.

9. Explore various techniques used to transform data to improve the quality of statistical forecast.

10. Understand various trends and how they impact your forecasts.

Who Should Attend?

CEOs, COOs, EDs, Directors, SVPs, VPs, General Managers, Senior Managers, Managers of: Forecasting / Planning, New Product Forecasting, Supply Chain Management, Allocation and Planning, Strategic Planning, Demand Management Process, Brand Management, Promotions Planning, Finance, Production Planning, Merchandising, Product Life-Cycle, Trade Promotions, Retail Collaboration, Sales, Marketing, Market Research, Sales Analysis, Statistical Modelling