Easily define your assortment, inventory placement, pricing, promotions, and product lifecycles to grow profitability with retail planning. Retail AI and machine learning (ML) help to make better decisions on assortments, offers, inventory, forecasts, planning, buying, and pricing.
Explore retail inventory planning and management software solutions.
Retail inventory planning defines and optimizes your assortment, placement, pricing, promotions, and product lifecycles to identify more profitable inventory investments. Retail AI and ML help to make better decisions on assortments, offers, inventory placement, forecasts, planning, buying, and pricing that align with business objectives.
Turbocharge merchandise, inventory, and planning processes and deliver a more profitable and more localized product range for customers.
Leverage key performance indicators to embrace changing consumer expectations, set new targets, and allocate more precise budgets.
Quickly design a new planning process that places customers at the center of your operations, from the strategic vision to execution.
Strategize store inventory and seasonal stock and plan for anything.
Choose a retail planning solution that provides a strong foundation and opportunities for more profitable inventory investments, with the help of retail AI and ML.
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.
Identify opportunities for more profitable inventory investments while ensuring day-to-day decisions align with business objectives. Support proactive retail management, resulting in fewer lost sales, excessive markdowns, and unprofitable exit strategies.
Base plans on accurate demand forecasts, rather than focusing on sales history. Eliminate plan discrepancies and organizational silos with reconciled plan visibility into all departments.
Provide views into sales history, actualized weekly sales, and unconstrained forecasts to support better, more accurate planning.
Enable receipt flow planning down to the weekly level to maximize return on inventory investment and align promotional activities with strategic goals by geography, class, category, and selling channel.
Ensure that bottom-up item plans reconcile with top-down financial plans, preventing overstocks.
Align assortments using a highly visual, end-to-end workflow. Define and execute local market and microsite assortments, improve conversion of traffic into higher sales/margins, and increase customer satisfaction.
AI and automation help to provide an effective assortment strategy to maximize return on inventory investment. By factoring in assortment trends or attribute mix from last year, style-color performance by location, and one-off and special buys, get a recommended rate of sale and target options as a benchmark for merchants and planners.
The in-season business process provides planners with the ability to react quickly and effectively to season-to-date actuals and trends with exception management. With one version of the truth, a common business process, and calculations with smart starting points, planners can easily review and update sales, promotions, and markdown plans.
Consolidate multiple data sources into an easy-to-consume format, gaining actionable insights and recommendations to drive customer-centric and targeted assortments.
Recommend formal category roles, strategies, and tactics based on consumer insights and product performance for use in downstream assortment, pricing, promotion, inventory, and space processes.
Monitor performance and validate key initiatives are tracking as planned with scorecards related to promotions, private label products, and inventory.
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.
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.
Oracle is recognized as a leader in three analyst retail planning and pricing reports based on its retail functional capabilities, best practices, and market understanding.
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.
Efficiently and effectively develop strategies to anticipate and influence your customers’ next moves and deliver the right offers.
Reach out to discuss the next steps with a retail solution expert.
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