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SAS® Regular Price OptimizationApplying the right prices to the right products at the right time to drive sales, increase margin and delight customersIn today's era of consumer-centric retailing, success hinges on presenting customers with tailored product offerings that both satisfy unique demand and offer overall value. One of the most critical elements of a valuable consumer-centric offering is price. From a consumer perspective, the intersection between product and price drives most consumer purchase decision behavior based on perceived value. Retailers need efficient approaches to manage the elements in their pricing structure across the organization and maximize profitability based on optimized prices for SKUs across categories and stores. This approach to price optimization must account for projected demand, known causal factors and business strategies – to generate precise pricing recommendations that can be consistently executed in the store to delight customers with a valuable offering that is also highly profitable. SAS Regular Price Optimization automates and optimizes the regular price determination process at the product and store level. Regular Price Optimization utilizes SAS' powerful optimization analytics and forecasting engine, in conjunction with business rules that reflect pricing strategies, sales and margin goals, and competitive data, to optimally generate regular price recommendations for products. This in turn enables retailers to meet margin and profitability targets while also exceeding consumer value expectations. Benefits
Features
More details on SAS Regular Price Optimization are available in the fact sheet. Manage the entire merchandise life cycle SAS Regular Price Optimization is a component of the SAS Revenue Optimization Suite, the only software suite available today that helps retailers manage revenue and margin through the entire merchandise life cycle. This suite integrates advanced data management, forecasting and analytic capabilities to help retailers set and manage regular prices, plan optimal promotions and execute the most successful markdown strategies. |
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