Oracle Retail Category Management Planning and Optimization

Maximize Performance While Increasing Customer Satisfaction

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.


Retail Category Management Planning and Optimization

Built Upon Industry Best Practices

  • Enable a 360-degree view of market, customers, competitors, and vendors
  • Leverage fact-based, smart starting points, maximizing available time to plan product categories
  • Utilize customer decision trees to drive customer-centric and targeted assortments
  • Conduct assortment optimization what-if scenarios to maximize performance while accounting for key customer behaviors
  • Integrate and align category and assortment decisions with financial and space targets/constraints

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