Retail Analytics and AI Products and Solutions

Oracle Retail AI Foundation

Leverage core retail AI and machine learning to make decisions on assortments, offers, inventory placement, forecasts, planning, buying, pricing, etc.

Advanced clustering (PDF)

Cluster your stores based on traditional approaches of volume, square footage, and region, or leverage ML to cluster stores based on similar selling patterns.

Affinity analysis (PDF)

Determine how items interact with each other for an effective promotional strategy within your financial planning process.

Attribute extraction and binning

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.

Customer segmentation

Group customers based on attributes, behaviors, and transactions to tailor offers, pricing, and assortments.

Forecasting engine

Provide an intelligent starting point for your planners to increase automation and accuracy.

Innovation workbench

Leverage open source along with your data science team to create your own AI and ML models.

Profile science

Determine the best size ratio for your buys by understanding the true demand of your sizes, considering stockouts.

Gain analytical insights with Oracle Retail Offer Optimization and Promotion and Markdown solutions

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.

Innovate with speed and scale while increasing profits

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.

Optimize the item lifecycle

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.

Power of a single view

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.

Acquire new customers with Oracle Retail Consumer Insights

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.

Rethink marketing strategies and put the customer at the core of every decision to

• Enrich your data with the world's largest cloud-based data management platform, creating a holistic picture of your customers
• Find new audiences through Consumer Insights’ direct integration with Oracle Data Cloud’s massive data collective, which spans more than 1,500 retailers, 1,000 product categories, 115 million households, 375 customer attributes, and 5 trillion transactions
• Identify common attributes and new segments with predictive analytics and retail AI for individualized offers and promotions
• Reduce customer acquisition costs by up to 2.6X

Improve daily replenishment decisions with Oracle Retail Inventory Optimization

Maximize the productivity of inventory across the entire supply chain with a self-learning and self-tuning approach to optimizing working capital.

Inventory Optimization drives real-time inventory productivity by

• Continuously optimizing replenishment parameters to achieve the target service level with the minimum inventory
• Embedding an automatic forecasting algorithm
• Enabling end users to interact with strategies and recommendations
• Enhancing the legacy replenishment solution without replacing it
• Implementing quickly with a high ROI and short payback
• Providing transparency for recommendations and underlying predictions
• Using AI and ML to continuously learn from past data and automatically adapt to new patterns and market changes

Oracle Retail Assortment and Space Optimization maximizes product placement

Optimize return on space

Optimize assortments to available space to maximize planogram performance, return on space, sales, revenue, and profits.

Drive profit and remain flexible to the changing retail environment

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.

Improve customer satisfaction

Optimize assortment and placement for the available space for each store to improve customer satisfaction.

Turn data into value

• Conduct macro-space optimization what-if analysis to maximize profits
• Create assortment and facing recommendations while balancing supply chain constraints, business rules, and visual merchandising standards
• Leverage fixture data to dynamically create store and space clusters
• Use item-level demand transference in calculations to create the optimal assortment mix