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.... history sortable by month so that seasonality can be determined by title, genre and pricing of music. There also needs to be the new album date season factored in to see how effective these launch events is in generating sales through the store. Clearly the holidays need to also be factored into the trending analysis as well. All of these elements of data are critically important to ensure mix of CDs ordered, by season and artist and for which specific price, is optimized for customers preferences over time. Having customer data to synchronize supply chain planning by month is a vital link in creating greater profitability by sold product line over time (Kiely, 1999). The CD store must also take into account the impact of pricing on sales levels and determine which of their CDs can be sold faster on lower prices. The use of pricing as a means to create valuable insights into forecast rates is the single largest factor in long-term profitability of retailing companies over time (Crnkovic, Tayi, Ballou, 2008).
In summary, the decision support system must provide insights into order rates by CD by month, factoring in the relative popularity of artists and its effect

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