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Take your retail business to the next level with a proven suite of retail science applications, purpose-built and field tested for specific retail use cases.
Evaluate sales performance, customer penetration, and market share across stores, geographies, and markets.
Gain actionable insight into your shoppers' behavior across channels and maximize the potential of your data.
Define and execute local market assortments, improve conversion of traffic into sales, and increase customer satisfaction.
Retailers can acquire, model, prepare, and serve structured, semi-structured and unstructured data for advanced use with the Oracle Retail Science Platform and Oracle Retail Insights Suite.
Evaluate sales performance, customer penetration, and market share across stores, geographies, and markets to plan and compete in an evolving landscape of pure play, general merchants, and traditional competitors.
Manage merchandise and sales strategies in a targeted way by effectively identifying and grouping customers (by channel) using multiple methods (category purchase behavior, demographics, etc.) and transaction data.
Gain actionable insight into your shoppers' behavior across channels and maximize the potential of your data through persona-based workflows and dashboards. Identify product affinities, halo and cannibalization effects, and shows how store clusters perform relative to each other.
Remove data quality issues from the equation with machine-learning to enable attribute extraction.
Create customer segment-specific decision trees using available transaction level data and understand incremental value of all items with an unbiased view of manufacturers.
Empower business analysts and data scientists to perform ad hoc analyses and then operationalize the results.
Accurately predict sales with a high degree of granularity using machine learning techniques to refine assortments based on purchase behavior, down to attribute level, such as size and style.