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Current technologies, such as Softvision’s Assortment Planning solution, apply local SKU-store sales analytics to the planning process. This provides retailers with the ability to increase profitability through the identification of size level demand by location and incorporating it into efficient case packs, case-ordering, and allocation recommendations. I experienced firsthand the impact localized analytics has to a retailer’s bottom line as part of Softvision’s Planning as a Service team. Working closely with experienced planners at popular retailers, we utilized Softvision’s planning applications to help analyze and recommend the distribution of sizes and case packs to the individual store location level.
At its simplest, applications such as Softvision Suite’s Allocation Module, utilize Localization Analytics to provide predictive analysis of daily sales by SKU and individual store to advise the Allocator of the optimal distribution of inventory. In addition to gaining the advantage of localized data by SKU and store, these tools also are typically able to provide data that is updated daily and, in some situations in real time, to give the Allocator the benefit of recent customer buying behavior and the current store needs. – reflects a gross margin gain of $500,000, simply by reducing the volume of sales sold at markdown by 1 percentage point. – reflects a $1 million gain in sales and $630,000 gain in gross margin with a 1 percentage point of in-stock improvement.