Planning | Demand Planning
Proven Demand Sensing Software Helps You Respond Profitably to Unpredictable Demand
Improve the accuracy of your forecasts by 30 to 40%
Rely on daily forecasts that reflect current market realities based on real-time data, automation, and artificial intelligence (AI). Combining multiple demand signals, e2open Demand Sensing predicts near-term demand with superior forecast accuracy compared to traditional approaches. The application has been used in more than 180 countries for $250 billion in annual sales.
Traditional methods impractical for today’s near-term forecasts
Disruptions, market volatility, and shifting demand make forecasts unreliable
Traditional demand planning techniques were used when distribution channels were few, and history was the best predictor of future demand. Today’s disruptions and volatility make such techniques inadequate for near-term forecasting. Companies must also cope with fast-moving changes in consumer preferences, escalating product introductions and item proliferation, varying marketing programs for influencing consumers, and the way omnichannel distribution limits the usefulness of order history. Accurately predicting customer orders over a time horizon of several weeks is nearly impossible without advanced data science.
Profitable real-time response to real-time demand
Leverage a highly accurate daily forecast for every item at every location. Automation, AI, and machine learning technology analyze real-time supply chain data and determine the influence of new demand signals.
Predict demand with better accuracy
Statistics show that e2open’s demand sensing software improves near-term forecast accuracy by 30 to 40% compared to traditional methods.
Reduce inventory
By decreasing inventory—particularly safety stock—and projecting supply needs more accurately, you can free up cash and improve your return on capital.
Quickly sense shifting demand
Demand Sensing consumes and processes real-time demand signals to sense demand shifts and respond to changing market conditions.
Receive automatic daily forecasts
Using machine learning, the application quickly processes all data, identifies patterns, and produces a highly accurate near-term daily forecast.
Forecast demand for new products
Automatic clustering enables you to predict new product volumes by forecasting demand based on items with similar behavior.
Eliminate the need for human review
Publishing forecasts to supply planning systems without the need for human review saves time and increases planner productivity.
Other applications in the planning ecosystem
Distribution Planning
Multi-Echelon Inventory Optimization
Sales and Operations Planning
Supply Planning
Customers
Testimonials
Transform near-term demand forecast accuracy