1. A method of computing a price image for a set of products of an enterprise comprising: processing 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 can forecast demand from price and non-price input parameters; calculating weighting factors for each product in said set of products, said weighting factors being based upon at least a portion of said demand factors identified in said processing activity; and computing said price image for said set of products to be responsive to said weighting factors.