To respond to uncertain and variable demand you need to ensure that all demand signals are captured at the right level of detail, leverage that demand and its underlying correlations and factors that influence the demand patterns, make sure that all key stakeholders are involved and accountable on a continuous basis, and make that forecast actionable and drive all downstream planning processes. Oracle Demantra Demand Management enables you to arrive at a single, precise consensus forecast.
A consensus plan built from a more accurate forecast aligns all your organizations and users, enabling you to be more demand-driven. Built-in analytics and adaptable business process automation capabilities enable a wide range of day-to-day decision making with real-time demand intelligence.
Oracle Demantra Demand Management enables you to sense demand from multiple data sources including point of sales and syndicated data, and analyze demand data at various levels to understand the detailed behavior of demand. Such detailed understanding of origin and relative contribution of various demands both improves your ability to predict the detailed behavior of you demand and enables demand shaping activities – programs and events designed to stimulate sales and grow market share for individual products or groups of products.
Improve forecast accuracy via advanced analytics and improved consensus
Better real time demand insight is only useful if you can translate it into a more accurate forecast. Oracle Demantra Demand Management and its patented Bayesian analytical forecast engine generates the most accurate forecasts possible. Automated algorithms automatically combine nine industry-standard and proprietary forecasting models, mixed in an infinite number of combinations to handle a wide range of product life cycles and demand patterns including intermittent demand. This produces a forecast that accommodates seasonality, promotions, trends, and other causal factors simultaneously. Causal correlations and other analytic parameters are automatically maintained at appropriate hierarchical levels where statistically relevant and adequate data points are available. Self-learning and self-adapting algorithms combine the different models to maximize predictive accuracy (rather than historic fit) and to respond to changing market conditions. Oracle Demantra Demand Management hides statistical complexity from demand planners (“PhD in a box”) and managers, yet can be extensively modeled by statisticians as required for your business.
Oracle Demantra Demand Management provides a robust workflow driven collaboration paradigm across all constituents. Each participant gets the information tailored to their needs to be able to make key decisions. The system keeps an audit trail of all changes, notes that capture key decisions and assumptions, and generates exceptions to ensure responsiveness.
Integrated with Oracle Demand Signal Repository to leverage POS data
Demantra Demand Management can receive point of sale data directly from Oracle Demand Signal Repository, enabling a real-time demand sensing paradigm that captures demand signals closer to the point of consumption.