Two product variables color and size, which significantly affect apparel sales, were chosen to model sales. The data was grouped based on different class- size combinations, trained and then sales were forecasted for each grouping using ANN and fuzzy logic modeling.

The daily sales were then calculated from grouped sales using two different methods:
• Fractional contribution method
• Winters’ three parameter model

The forecasted daily sales were then compared with actual sales by using goodness-of-fit statistics.