DemandTec Assortment & Space™Localize Offerings to Provide Differentiation, Increase Basket Size, and Improve Loyalty
It’s no secret that well-executed, localized assortments can increase sales, strengthen store image, and build loyalty, but these results aren’t the result of tactical efforts. Leading retailers have found that they need to take a more strategic approach to assortment than simply ranking items by sales, and “cutting the tail” to remove the underperformers on the list. To be successful, retailers must take a more sophisticated, science-based approach that objectively and quantitatively assesses the role of each item in adding variety rather than duplication to the assortment. They must be able to make assortment optimization decisions and space optimization decisions in tandem to produce practical, store-specific space plans. They also need to be able to create more targeted assortments and planograms using predictive analytics, rather than just relying on historical sales data. Leading retailers that want to make efficient assortment a cornerstone of their merchandising strategy are choosing DemandTec Assortment & Space™, a comprehensive solution for creating localized assortments by store, cluster, or section, based on shopper demographics, the competitive environment, and a science-based, quantitative understanding of each item’s ability to add variety and grow incremental sales in the category. A Comprehensive Solution for Managing Assortment and Space Incorporate Transferable Demand into Assortment Decisions through Sophisticated Optimization Science Assortment OptimizationA key element of DemandTec Assortment & Space is Assortment Optimization, a software service that includes advanced modeling and optimization science to help retailers create efficient, customer-centric assortments. This science is based on a quantitative understanding of incrementality, which is an item’s ability to increase overall category sales or profit, and transferable demand, which is the degree to which sales volume shifts to similar items in the category or leaves the store when an item is delisted. Image Item AnalysisEnhance price image by analyzing item and basket-level data to determine key items by chain, store, or customer segment Create Optimized Assortments Using Integrated Assortment and Space SolutionsDemandTec Assortment & Space enables retailers to integrate assortment optimization with space optimization and planning in order to create granular, store-specific planograms. Space planning systems have traditionally only used historical sales data to help in making decisions about new shelf plans. The DemandTec solution includes capabilities to improve these complementary applications by providing them with better information and new insights. Used in conjunction with Assortment Optimization from DemandTec, these systems can now use more accurate, science-based SKU/store level sales forecasts that are also used in making pricing and promotions decisions. To streamline the process of executing assortment changes, DemandTec Assortment & Space also has direct interfaces with planogram software from IRI, Nielsen, and JDA Software to import current planograms, make changes, and easily export changes back to these systems in the appropriate planogram file format. Plan and Execute More Effective Assortment Strategies with a Common Platform for Consumer-Centric DecisionsWhile many retailers have experienced a high ROI by deploying individual solutions for assortment, space, pricing, promotions, and loyalty marketing, when retailers integrate all of these solutions on a common optimization platform, the combined ROI can be far higher. With a common, predictive platform, retailers are able to better understand their customers and execute coordinated customer-centric marketing and merchandising based on a single set of data and a single demand forecast. For example:
Get Started TodayAre you ready to optimize your assortments? Take the next step. For more information, call 1-888-676-3626 or request information online. | Webinar
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