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Demand Sensing Software – Improve Forecasts by 30 to 40%

Using real-time data, automation and machine learning algorithms, E2open’s Demand Sensing application creates daily forecasts that reflect current market realities. The application is a core part of the demand-driven digital transformation strategies of leading global companies. Field-proven, it has been used for more than a decade in over 180 countries for $250 billion in annual sales volume.

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Learn Why Gartner Named E2open a Leader in the Magic Quadrant for Supply Chain Planning Solutions 2021

Use artificial intelligence (AI), real-time demand signals and external data to improve forecast accuracy.

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Real-Time Response to Real-Time Demand

E2open Demand Sensing examines multiple demand signals and combines these inputs to predict near-term demand with superior forecast accuracy compared to traditional time-series approaches.

Highlights include the following:

  • Near-term forecast accuracy improvements of 30 to 40% compared to traditional methods

  • Inventory reduction of 10 to 15%, freeing up cash and improving return on capital

  • Ability to leverage multiple real-time signals to sense demand shifts and respond to changing market conditions

  • Use of machine learning to quickly process all data, identify patterns and automatically produce a near-term daily forecast

  • Automatic clustering for forecasting new product volumes based on items with similar behavior

  • Ability to publish forecasts to supply planning systems without the need for human review, saving time and increasing planner productivity

  • More accurate projection of the supply required to meet market demands while minimizing inventory

  • Complementary application that augments existing demand and distribution planning systems

Data Sheet

E2open Demand Sensing

Receive an accurate daily forecast for every item at every location by automating real-time supply chain data analyses using machine learning technology.

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Take the Pulse of the Market

Gain a step change in near-term demand accuracy with forecasts aligned to market conditions. Improve customer service while decreasing inventory.

Sense Demand