Advanced retail analytics applications that leverage AI and machine learning (ML) can bring big business impacts and be intimidating. With Oracle Retail’s solutions, business users can easily leverage the latest advancements without specialized skillsets.
See retail analytics and AI in action.
Take your retail business to the next level with a proven suite of retail analytics applications that are AI-powered, purpose-built, and field-tested for specific retail use cases, like planning.
Gain a holistic view of shopper interactions with your brand to make better buying decisions and deliver more relevant customer offers.
Give your team the tools to innovate at scale with advanced retail analytics and AI-powered applications.
Improve the ability to predict and meet inventory demand and better serve your customers with retail AI insights.
Refresh your business strategy and reprioritize it for resiliency and digital transformation while measuring success to create value in the future.
Consolidate the volumes of data generated by your retail applications for planning, buying, moving, and selling, and use the analytical value of that data for your senior executives, marketing analysts, and data scientists.
Leverage core retail AI and machine learning to make decisions on assortments, offers, inventory placement, forecasts, planning, buying, pricing, etc.
Cluster your stores based on traditional approaches of volume, square footage, and region, or leverage ML to cluster stores based on similar selling patterns.
Determine how items interact with each other for an effective promotional strategy within your financial planning process.
Extract item attributes from free-form descriptions, correcting short forms, misspellings, and other inconsistencies, and apply them to demand transference, customer decision trees, advanced clustering, and more.
Group customers based on attributes, behaviors, and transactions to tailor offers, pricing, and assortments.
Provide an intelligent starting point for your planners to increase automation and accuracy.
Leverage open source along with your data science team to create your own AI and ML models.
Determine the best size ratio for your buys by understanding the true demand of your sizes, considering stockouts.
Oracle Retail’s Promotion and Markdown Optimization Cloud Service and Offer Optimization Cloud Service are lifecycle pricing optimization offerings that sit atop Oracle Retail AI Foundation, which provides analytical insights to drive planning, buying, moving, and selling decisions. These capabilities enable you to drive profit and remain flexible to the changing retail environment.
Engaging omnichannel customers with personalized offers while increasing profits requires modern applications in planning and retail analytics. Oracle Retail provides a single view of the enterprise, enabling you to innovate with speed and scale. Win over customers with promotions, targeted offers, and markdowns while maximizing results.
Gain lifecycle promotion, markdown, and targeted offer recommendations in conjunction with planned business initiatives, such as time-bound marketing campaigns. You’ll drive better profit margins and inventory sell-through and meet forecast expectations with the power of exception-based retailing and advanced machine learning models.
Delivering an effective pricing strategy that engages the customer in an omnichannel environment requires a single view of the customer, inventory, orders, demand, and pricing/promotions. When optimized results are presented across the enterprise—directly as a promotion or indirectly as a forecast—you can maximize the value of a unified strategy for pricing, promotions, and markdowns.
Consumer Insights is a strategic collaboration with Oracle Data Cloud. It brings an unprecedented level of insight to retail marketing teams, enabling them to better understand their customers, optimize new customer acquisition campaigns, and support consumer data-driven buying decisions, personalization, and more.
Maximize the productivity of inventory across the entire supply chain with a self-learning and self-tuning approach to optimizing working capital.
Optimize assortments to available space to maximize planogram performance, return on space, sales, revenue, and profits.
Optimize assortments to store- and cluster-specific needs to maximize return on space, sales, and gross profit while maintaining visual merchandising standards and supply chain considerations.
Optimize assortment and placement for the available space for each store to improve customer satisfaction.
Oracle Retail Data Store is a low-cost, low-code environment that enables retailers to innovate, take control of their data, and extend the capabilities of their Oracle Retail cloud services.
Oracle Retail Data Store is highly scalable and configurable to support the constantly changing retail landscape. It consolidates data on sales, inventory, pricing, promotions, customers, orders, demand, fulfillment, items, suppliers, consumers, and channels to support a retailer’s unique business processes and journeys.
Reimagine how retail moves with a collection of processes called Collect and Receive enabled by Oracle Retail Data Store Cloud Service. It lets retailers better serve their customers by understanding how their available inventory should be distributed across the retail estate. Collect and Receive aligns with traditional plan-buy-move-sell processes that tap into the power of data to elevate same-day delivery. With this new capability, Oracle technology, and a partnership with Uber Direct, retailers can gain agility by moving and placing assets, including customers, inventory, and fixtures, across the last mile of the estate that is closest to the point of purchase.
With artificial intelligence and machine learning at the core, Oracle’s platform for modern retail delivers a complete set of mission-critical solutions and cloud services that enable retailers to gain the insights and agility to attract and retain customers at every touchpoint.
Accelerate speed to value by streamlining your implementation using best practice process models, architectural diagrams, and a retail glossary derived from more than 5,000 retail customers across 96 countries.
Oracle offers speed to value with on-demand digital learning. You can build individual competencies that maximize usage of Oracle Retail solutions. Available 24/7 with self-paced learning guides and detailed microlessons with step-by-step demonstrations.
Retailers are using contextual intelligence to build more nuanced and granular consumer profiles, helping them better understand their best customers. Read this guidebook to see how your retail business—including marketing, planning, store operations, and other aspects—could benefit from the macro view of your customers.
Define your assortment planning, placement, pricing, promotions, and product lifecycles to grow profitability.
Profitably and efficiently execute your core retail merchandising activities with a flexible and scalable foundation.
Align planning decisions to forecasting, inventory management, and receipt flow to drive profitable allocation, replenishment, and fulfillment.
Enable engaging, seamless experiences while refining operations across point-of-service, ecommerce, and order management systems.
Reach out to discuss the next steps with a retail solution expert.
Explore research, reports, webinars, and more that can help you better understand the power of Oracle Retail products.
Led by retailers like you, licensed customers meet regularly to share best practices and build networks.
Enjoy relevant articles and customer stories from the Oracle Retail community.