Oracle Retail Size Profile Optimization
Provide optimal recommendations on size range profiles by store and align buying and inventory-allocation decisions with consumer demand.
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Review size profile output in conjunction with multiple other data points, including archived size profiles.
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The system will auto-approve size profiles if results are within defined tolerances. Users may override by entering the adjustment and size profile will re-normalize the remaining values.
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Conduct trend analysis leveraging archived size profiles and identify how a profile has changed over time.
Predict Size Level Consumer Demand
- Identify store-level selling patterns across different size ranges to systematically create accurate profiles of size distribution by merchandise category or store
- Optimize recommendations using robust simulated techniques and data mining
- Reduce supply chain costs through prepack optimization that considers the balance of shipping and creating optimized quantities in style, size, and color
- Allow for profile management, including comparison and analysis views, exception management, and approval workflow
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