Oracle Retail Demand Forecasting

Oracle Retail Demand Forecasting uses time series forecasting algorithms and state-of-the-art modeling techniques to create accurate forecasts with little human intervention. The solution handles forecasting at a low level of detail (such as at the item, by store, by day level), forecasting for new products, and forecasting for products with sparse sales, highlighting the anomalies for your review.

Oracle Retail Demand Forecasting is part of Oracle Retail's Merchandise Planning solution group.

Oracle Retail Demand Forecasting provides all departments with a common forecast to drive the entire retail enterprise, bringing together forecasts produced for replenishment, merchandise planning, financial planning, and collaborative planning.

• Ensure proper stock levels to avoid lost sales, as well as reduce excess inventory, which leads to markdowns.
• Streamline the forecasting process by treating groups of locations and products as one.
• Forecasting automation features include selection of the optimal forecasting method and level as well as rules-based alerts and exception.
• Support for planning for new items, categories, and locations.
• Integration with other Oracle Retail products enables you to send forecasts to Oracle Retail Merchandise Financial Planning, Oracle Retail Item Planning, Oracle Retail Assortment Planning, Oracle Retail Advanced Inventory Planning, and Oracle Retail Value Chain Collaboration to ensure all components of the retail enterprise rely on a common forecast.