Deliver the right assortment across channels and optimize the planning and ordering process to gain supply chain efficiency with demand transference, customer decision trees, and retail demand forecasting solutions.
Execute smarter demand planning with AI and machine learning.
Create customer segment-specific decision trees using transaction-level data, understand the incremental value of all items with an unbiased view of manufacturers, and maximize forecast accuracy for the entire product lifecycle with next-generation retail science.
Adapt to recent trends, seasonality, out of stocks, and promotions, and reflect your unique demand drivers.
Take full advantage of your data through retail sciences: machine learning, artificial intelligence, and decision-science disciplines.
Maximize the productivity of your team with exception-driven processes paired with our experience-inspired user interface.
Analyze assortment coverage, identify duplication of item types, and prevent the removal of core items.
Create your own science-based decision trees and compare them to supplier-provided data.
Discover the impact of adding or dropping items to your net category performance to maintain market share while optimizing profit.
Choose retail demand planning solutions that help you coordinate demand-driven outcomes delivering connected customer interactions.
Oracle Retail Demand Forecasting, our demand forecasting engine, has been integrated into Retail Inventory Planning Optimization Cloud Service and includes Oracle Retail AI Foundation (PDF), which provides analytical insights to drive planning, buying, moving of inventory, and selling decisions. These capabilities help retailers increase profits and remain flexible amid the changing retail environment.
With a single view of demand, Retail Demand Forecasting provides value across retail processes, including driving optimal strategies in planning, increasing inventory productivity in retail supply chains, decreasing operational costs, and driving customer satisfaction from engagement to sale to fulfillment.
With Retail Demand Forecasting, Oracle distilled more than 15 years of forecasting experience across hundreds of retailers worldwide into a comprehensive solution that maximizes forecast accuracy for the entire product lifecycle. Retail Demand Forecasting has added additional capabilities and evolved into Retail Inventory Planning Optimization Cloud Service.
Oracle Retail Customer Decision Trees and Demand Transference enables you to create customer decision trees using transaction-level data. These decision trees are specific to their customer segments and respective geographies. They help you understand the most important products and product attributes as customers see them. Armed with these details, you can effectively analyze assortment coverage, identify duplication of item types, and prevent the removal of core items that customers seek.
Oracle Retail Customer Decision Trees and Demand Transference mines customer purchase history to identify shopping and switching patterns. These help you understand what attributes are driving customer purchases, when customers would walk away without making a purchase, and when they're willing to switch products. These key insights can help you make better assortment, pricing, and promotion decisions.
Leveraging retailer-specific transaction-level data provides a true view of the customer during the customer decision tree creation process, eliminating bias that an external customer decision tree may have. Using Oracle Retail Customer Decision Trees and Demand Transference, you can compare customer decision trees you’ve generated with ones provided externally. Then you can make adjustments to confirm and approve usage within your assortment processes.
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.
Leverage core retail AI and ML to make decisions on assortments, offers, inventory placement, forecasts, planning, buying, pricing, etc.
Provide an intelligent starting point for your planners to increase automation and accuracy.
Group customers based on attributes, behaviors, and transactions to tailor offers, pricing, and assortments.
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 the best size ratio for your buys by understanding the true demand of your sizes, considering stockouts.
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.
Determine how items interact with each other for an effective promotional strategy within your financial planning process.
Leverage open source along with your data science team to create your own AI and ML models.
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 planning and optimization solutions. Available 24/7 with self-paced learning guides and detailed microlessons with step-by-step demonstrations.
Much of the challenge is having the right inventory available in the right place to quickly fulfill customer demand, no matter when and where a purchase is made. Despite the complexities, there are a few simple steps you can take to improve forecast accuracy and inventory management.
The point of entry to retailers' supply chains is increasingly fluid. See how Oracle helps retailers put customer preferences and behavior at the center of their inventory strategy for the best customer satisfaction and operational efficiency.
Define your assortment, placement, pricing, promotions, and product lifecycles to grow profitability with retail planning.
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.
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