The Virtual Forecaster ^TM

Training 

Training Tailored To Your Specific Requirements

Do you feel you need a refresher on modeling, pattern analysis or root cause analysis?

Would you like help to improve the accuracy, reliability and applicability of baseline statistical forecasting to your demand planning process?

If you need to enhance the professionalism in your organization and increase opportunities for promotion, check out www.cpdftraining.org for more information about earning a Certified Professional in Demand Management designation.

Below you will find a suggested set of topics to cover the most essential elements of the forecasting process.

Preparation – Data and Pattern Analysis

• Data Decomposition - Identifying and quantifying systematic trends and seasonality in demand

• Baseline Analysis - Automatic baseline forecasting, centrally developed and distributed by customer account, region or field sales representative

• Seasonal Demand Patterns - Characterizing additive and  multiplicative seasonality in inventory and sales data 

• Promotions and Pricing - Developing response models for promotion and pricing

• Product Lifecycle patterns - New Product intros and launches for forecasting where there is no historical demand

• Unusual, exceptional Events - Recognizing and coping with uncertainty through confidence intervals

Execution – Modeling Solutions

• Customized Excel spreadsheet tools and Add-ins for basic data analysis, pattern recognition and performance reporting

• PEER PlannerŪ Demand Forecasting

• PEER PlannerŪ Requirements Planning (DRP) - Time-phased Order Forecasting

• Intermittent demand forecasting for inventory and merchandizing applications

Evaluation – Root Cause Analysis & Exception Tracking

• Multiple forecast accuracy measures to improve the forecasting process

• Using forecast errors to implement ‘just-in-time’ inventory management, reserve extra production capacity and maintain extra cash reserve

• Forecast error tracking for multiple views via ‘at a glance’ graphics to ensure accountability and commitment

• Automatic forecast monitoring with collaborative planning to grow sales and reduce operating expense

Reconciliation – Matching Supply and Demand Needs (S&OP)

• Identifying the key stakeholder to manage the forecasting process

• Supporting a multifunctional consensus-based process

• Ensuring accountability and commitment to a single number set of forecasts