Maximizing margins through optimized assortments
it’s extremely challenging to satisfy and retain shoppers with an ideal mix of new products, best sellers and private labels on limited shelf space. And the ultimate challenge is securing maximum market share with fewer stock-outs and wider profit margins.
Satisfying customers with more informed decisions
Provide a different store clustering for each major category within your store and correlates groups based on driving indicators store attributes, item attributes, store area etc.
Retaining a leading competitive position
Quickly determine which stores exhibit similar consumer preference patterns for a category, cluster them into store groups and then assort by cluster. By planning assortments for each group with similar product preferences, you’ll reduce unproductive inventory while fulfilling local demands.
Streamlining productivity with a feature-rich item assortment solution
Enables your planners to target preferred local product demand in terms of popularity and shelf inventory. The application also helps to find the optimal number of groups to balance your micro-merchandising goals with your operational costs to save valuable time and money.
Leveraging integration capabilities
Form unique store groups by product segment (i.e., class, department and category). Plus you can plan by representative group instead of individual stores. You’ll produce the optimum number of plans needed to achieve spot-on merchandising results within every channel.
Key Benefits
Integrates various data including spatial/planogram data to review and optimize the category in a configurable, reusable process with true space awareness.
Assesses your category and determines its potential by drilling through hierarchies and analyzing data. Drives insights and understanding into how the category performs down to the shelf level.
Pinpoints driving characteristics within a group, such as size and type of store, volume or type of merchandise sold, customer and item attributes and store trade area
Supports flexible management of store group outliers and new stores using automated or manual assignment procedures
Filters out extreme outliers and other anomalies when establishing preference patterns
Supports dynamic grouping of store locations based on performance or attribute information