Consolidate multiple data sources into an easy-to-consume format, gaining actionable insights and recommendations to drive customer-centric and targeted assortments.
Leverage embedded insights to drive category role, strategy, and tactics assignments.
Review and analyze preseason/in-season category performance leveraging available scorecard capabilities.
Leverage embedded science and automation capabilities to create customer-centric and targeted assortments at the store cluster or store levels.
Effectively manage assortments at the national, cluster, customer, and vendor/brand levels while leveraging key inputs, including advanced sciences.
Review and make assortment decisions while leveraging customer decision tree science.
Dynamic recommendations enable you to allocate optimal space to departments, categories, and subcategories (or planograms), maximizing overall sales and profit.
Create customer-segment-specific decision trees using available transaction level data and understand incremental value of all items.
Optimize assortments to available space to maximize planogram performance, return-on-space, sales, revenue, and profits.
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Identify unique patterns within data to create customer centric and targeted clusters for use in enterprise planning process.
Identify opportunities for more profitable inventory investment, ensuring that day-to-day decisions align with business objectives.