Skip to content
Brief
Oracle Retail Analytics

Oracle Retail Analytics

Delivers comprehensive, pre-built retail analytics capabilities that integrate seamlessly with Oracle's retail applications, enabling enterprise retailers to make data-driven decisions across merchandising, operations, and customer engagement.

oracle.comAustin, Texas, United StatesParent: Oracle

Last updated May 11, 2026 by the ATDb Editorial Team

Industry
Retail Analytics & Business Intelligence
Business Model
SaaS
Target Market
Enterprise
Stock Symbol
ORCL
Parent Company
Oracle
API Available
Yes
Market Position

Leading enterprise retail analytics provider as part of Oracle's comprehensive retail technology suite

Overview

Oracle Retail Analytics is a comprehensive analytics platform within Oracle's broader retail solutions portfolio. As part of Oracle Corporation, it provides retailers with advanced analytics capabilities to optimize merchandising decisions, understand customer behavior, forecast demand, and improve operational efficiency across their retail operations. The platform leverages Oracle's cloud infrastructure and data management capabilities to deliver real-time insights from multiple data sources including point-of-sale systems, inventory management, customer loyalty programs, and supply chain operations. The solution integrates deeply with Oracle's Retail suite of applications, offering pre-built analytics models and dashboards specifically designed for retail use cases. Oracle Retail Analytics serves enterprise retailers globally, helping them make data-driven decisions around assortment planning, pricing optimization, promotional effectiveness, and store performance. The platform is positioned as part of Oracle's end-to-end retail technology ecosystem, competing against both specialized retail analytics vendors and other enterprise software providers' retail offerings. While Oracle Retail Analytics itself is not a traditional AdTech platform, it plays a role in the retail media and customer analytics space by providing insights that inform marketing strategies, customer segmentation, and personalized shopping experiences. The analytics capabilities support retailers in understanding customer journeys and optimizing both in-store and digital commerce experiences.

Products & Features

Merchandising Analytics

Analytics for assortment planning, pricing optimization, and inventory management

Customer Analytics

Customer segmentation, behavior analysis, and loyalty program insights

Store Operations Analytics

Store performance metrics, labor optimization, and operational efficiency tracking

Supply Chain Analytics

Demand forecasting, supplier performance, and logistics optimization

Key Features
Pre-built retail-specific analytics models and dashboardsReal-time data integration from multiple retail systemsDemand forecasting and predictive analyticsCustomer segmentation and behavior analysisMerchandising performance trackingPromotional effectiveness measurementStore performance benchmarkingMobile analytics access
Use Cases
Optimizing product assortment based on customer preferences and sales dataForecasting demand for seasonal merchandise planningAnalyzing promotional campaign effectivenessIdentifying customer segments for targeted marketingBenchmarking store performance across locationsOptimizing inventory levels to reduce stockouts and overstockAnalyzing customer journey across channelsMeasuring and improving customer lifetime value
Customer Segments
Large retail chainsDepartment storesSpecialty retailersGrocery and supermarket chainsFashion and apparel retailersConsumer electronics retailersMulti-channel retailers
Connections

Explore further

3 views