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Forecast Validation & Analysis Service

Better forecasts mean better results

In today’s competitive business world the ability to forecast accurately translates directly into better decision-making and increased profits.

Benefits of GRA’s Forecast Validation & Analysis Service

* improves forecast accuracy
* identifies exceptions
* reduces unnecessary costs
* improves resource allocation
* improves working capital and frees-up cash
* improves credibility with management, financiers and shareholders
* is quick, easy and cost effective

= INCREASED ROI


The Challenge

Inaccurate forecasts can have the following consequences as they ripple through a business:

• inventory build-up and cash absorption
• unnecessary write-offs or write-downs
• misallocation of resources
• lower customer service levels
• unnecessary distribution costs
• reduced ROI

Given the fundamental importance of forecasts in business planning, inaccuracies ultimately render many management controls useless and reduce bottom line performance – resulting in diminished credibility with management, financiers and shareholders.

Margin Analysis

Over-performers and Under-performers


The Solution

GRA’s Forecast Validation & Analysis Service validates business forecasts and operational forecasts, improves forecast accuracy and provides powerful, valuable and credible information to support decision-making.

GRA’s Forecast Validation & Analysis Service;

• employs a proven, fact-based statistical engine for forecast generation
• highlights exception areas requiring attention – e.g. over/under-performers
• translates the demand forecast into a supply forecast (COGs) and financial forecast
• identifies opportunities for cash generation and ‘quick wins’
• forecasts top-down (business level) and bottom-up (product level)
• forecasts by channel, family, category, source of supply, product group, SKU, location, customer, etc.
• forecasts in multiple units of measure including selling price, standard cost, units, pack sizes, containers, cubage, weight, currency etc.
• provides a pareto analysis on sales and gross profit/contribution
• distinguishes between, and plans for seasonal/cyclical, trend, sporadic, fast-moving and slow- moving demand patterns
• flags product life cycle changes
• provides for sensitivity and what-if scenario analysis
• assesses current demand variability and forecast accuracy

Budget vs Forecast

Download FORMAT
GRA Forecast Validation & Analysis PDF



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