In fashion retail, the main objective is to gain the best possible revenue in the short sales season. Retailers have to predict the taste of the consumer, their demand for the fashion items that will be produced and the price they are willing to pay. Doing all these at least 15 months ahead of the consumption is a praiseworthy effort.
As the season takes off the uncertainties of the price, discounts and campaigns take their turn. Merchandise planners generally apply price discounts based on their experience intuitively, with any possible data to back up the decisions. Our data-driven solution DTLR Markdown Optimization helps planners to decide “which products to be discounted?”, “when?” and “how much?”. With all the tough questions answered, the full-price sales are maximized, outlet transfers are minimized, improving the bottom-line.