1. A method of operating a computing environment to compute a price image for a set of products of an enterprise to be executed by a processor section, said method comprising: processing, through the execution of a first code segment by said processing section in said computing environment, historical data describing activity of said enterprise to identify price and non-price factors of a demand model to tune said demand model to said historical data so that said demand model is configured to forecast demand from price and non-price input parameters; calculating, through the execution of a second code segment by said processing section in said computing environment, weighting factors for each product in said set of products, said weighting factors being based upon at least a portion of said price and non-price factors identified in said processing activity; and computing, through the execution of a third code segment by said processing section in said computing environment, said price image for said set of products to be responsive to said weighting factors.