Assortment Optimization


Manually planning the unique assortments for each season required to maximize profit potential is not feasible given the intricacies of the retail environment. Merchants must consider financial and strategic objectives, historical sell-thru and missed opportunities, and many other factors. Though much of this data is available to them, the volume and complexity prevents them from effectively leveraging it. Instead, merchants are forced to rely on intuition and their own number crunching, resulting in unnecessary missed sales opportunities and excessive markdowns.

With 7thOnline Assortment Optimization, vendors and retailers can be confident that they are investing in a merchandise mix for each store that maximizes profit potential. Based on historical performance, customer data, and strategic objectives, 7thOnline Assortment Optimization generates the optimal category, class, and SKU breadth and depth to meet local demand while incorporating the necessary constraints. The optimization can be performed at various levels depending upon the client's requirements.


KEY FEATURES
  • Estimates sales potential at different price discount levels
  • Identifies the top selling styles and recommend the quantity needed to maximize margin contribution
  • Identifies and accounts for lost sales on styles with under-purchased units
  • Identifies and accounts for an under-purchased breadth of styles
  • Considers the potential price erosion as more units are added to styles
  • Determines the optimal balance of adding units to the top selling styles or adding additional styles
  • Customizable to meet specific client requirements

KEY BENEFITS
  • Increased SKU productivity (identify and reduce under-performing SKUs and invest more in strong performers)
  • Increased full-price sell-thru and reduced markdowns and stock-outs
  • Improved customer service to retail accounts
  • Improved customer satisfaction and loyalty through localization of assortments
  • Reduced administrative costs and errors
  • Proprietary algorithms built specifically for apparel, footwear and accessories
  • User-friendly interface facilitates rapid user adoption