Sense, predict, and shape demand to improve your demand forecasting accuracy and inventory strategies. Ensure that the right product is at the right place, at the right time.
Vendor
Oracle
Oracle Fusion Cloud Demand Management
Sense demand: Sense demand to improve visibility
Manage multiple demand signals Assimilate internal, customer, and marketing signals to create a holistic view of demand. Dynamically segment demand Use business rules to assign groups of items and locations to segments that share common demand characteristics. Analyze demand Monitor business KPIs to detect changes in market conditions and assess the impact. Capture business insights Drive accountability by documenting plan discussions, decisions, and assumptions.
Predict demand: Predict demand to manage variability
Generate accurate forecasts Improve demand forecasting accuracy by evaluating baseline, trend, seasonality, and causal forecasting components by segment. Enhance planning with built-in intelligence Improve plan accuracy with built-in machine learning that evaluates intermittency, collinearity, anomalies, level shifts, price changes, holidays, and events. Create a robust demand plan Enhance your baseline plan by adjusting your demand forecast to incorporate business knowledge and address exceptions. Forecast configure-to-order products Improve customer service by simulating the impact of changes to model forecasts and calculate attach rates. Measure and track forecast accuracy Monitor and diagnose the root causes of demand forecast errors and track improvements by segment.
Shape demand: Intelligently shape demand to achieve business objectives
Forecast new products Manage new product launches by learning from similar products. Add new channels, customers, and geographies. Simulate forecast scenarios Make more informed decisions by simulating and comparing multiple demand forecasting scenarios. Collaborate to synchronize demand planning Increase responsiveness and improve availability by collaborating with cross-functional teams on planning demand and supply.
Automate replenishment: Replenish to meet demand-driven inventory targets
Tailor inventory policy planning to demand segments Establish inventory policy thresholds for groups of item locations that have similar replenishment requirements. Calculate demand-driven replenishments Generate the time-phased replenishment quantities needed to keep supply within inventory thresholds. Simulate replenishment results Select and compare the effect of different inventory policy parameters to enhance replenishment planning performance. Execute the plan Release replenishment orders for execution based on the latest demand, supply, and policy settings.