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Create customer segment-specific decision trees using available transaction level data and understand incremental value of all items with an unbiased view of manufacturers.
Create, compare and make needed updates to customer decision trees.
Review and make assortment decisions while leveraging customer decision tree and demand transference science input.
Define and execute cross-channel localized assortment plans to maximize profits and customer satisfaction.
Identify unique patterns within data to create customer centric and targeted clusters for use in enterprise planning process.
Optimize assortments to available space to maximize planogram performance, return-on-space, sales, revenue and profits.
Align your assortment to meet demand, maximizing opportunities, improving margins, and increasing customer satisfaction.
Identify opportunities for more profitable inventory investment, ensuring that day-to-day decisions align with business objectives.
Engage with Oracle Retail Merchandise Operations Learning Subscription and maximize your merchandising solution investment with a modern, learning experience.