Deloitte's Predictive Forecasting application provides companies within the C&IP industry the ability to build a forecast based on statistical modeling to build a seasonalized sales forecast by product and geography based on historical sales, external factor assumptions and new product analysis. This application allows users to conduct analysis by provided a Product Contribution Margin by geography.
Users can view a time series decomposition of their products seasonalized and deseasonalized sales historically and for the forecast
View volume comparisons year over year and adjust the forecast for external factors such as temperature or an economic factor
Enter in new products, the associated assumptions such as release date, price and costs, and future promotions to drive the forecast number of units.
Apply future price changes to the product to the forecast and generate revenue and contribution margin reporting on each of the new products
Analyze products volumes and contribution margin for existing and new products by geography
Calculates a seasonalized and deseasonalized baseline sales forecast based on historical sales and accounting for expected external factors
Adjust forecast based on external factors
Ability to adjust forecast based on temperature and economic factors expected for products and geography
New product analysis
Analyze new potential products by submitting information regarding release date, product type, demand assumptions and associated costs
Promotions and price planning for new products
Input expected promotion costs and price changes to new products for better long term analysis
Contribution Margin reporting
Report that allow users to analyze forecasted sales volume and contribution margin for existing and new products by geography
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