Planning | Demand Planning

Improve Planner Productivity and Forecast Accuracy with Demand Planning Software


Understand, anticipate, and shape demand using automation and machine learning algorithms that let you create the most accurate forecasts possible. Manage demand by engaging colleagues, customers, channels, and other stakeholders. The result: an efficient process for unifying your organization around an accurate demand plan.

Plan more accurately than ever, faster than ever

Traditional demand planning is limited

Getting accurate information from multiple data sources is an uphill battle

Getting demand right is essential for providing incredible service while minimizing costs. Yet traditional demand planning based on sales history and manually adjusted modeling parameters is both limited and inaccurate. It also leaves new data sources and science out of the equation when these could further improve accuracy and speed.

Understand, anticipate, and shape demand

E2open Demand Planning considers multiple demand signals and uses machine learning to generate more accurate forecasts than traditional time-series methods.

Improve planning accuracy

Improve planning accuracy

Machine learning algorithms generate highly accurate forecasts for all products and key components.

Increase efficiency

Increase efficiency

By automating demand planning, planners can spend more time on strategic issues instead of routine tasks.

Efficiently integrate data sources

Efficiently integrate data sources

You can easily include multiple internal and external data sources, including ERP systems, as well as downstream and casual data.

Enable attach rate planning

Enable attach rate planning

Forecast customer-specific product configurations and plan for base models and components.

Collaborate with stakeholders

Collaborate with stakeholders

Cross-functional internal collaboration that includes sales, marketing, finance, and supply chain lets you plan more efficiently.

Automate processes

Automate processes

Essential processes like network realignment, promotion pacing, account team collaboration, and model tuning are all streamlined.

Improvement in long-term forecast accuracy


Improvement in long-term forecast accuracy

Reduction in planning cycle times


Reduction in planning cycle times

Margin improvement


Margin improvement

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Plan with greater accuracy and efficiency

Improve your forecast accuracy while streamlining the entire demand management process.

Containers for letters and mail items on a fully automatic conveyor belt in the central sortation section of the federal Swiss postal service in Zurich-Mulligen, Switzerland. On an area of 70'000 square meters, Swiss postal service is processing the majority of 15 million letters per day in Zurich-Mulligen, the largest of three mail sorting section hubs in Switzerland.