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Demand & Supply Chain
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Demand Planning
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Solutions » Demand Planning

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n.SKEP Demand Planning

An accurate forecast is essential for supply chain optimization, and can ultimately lead to increased sales. n.SKEP® Demand Planning collaborative sales forecasting supports development of more reliable logistics, sales and budgetary forecasts, creating firm demand that takes into consideration exceptional and promotional sales events.


n.SKEP® Demand Planning is an integrated solution for collaborative sales forecasting, accumulating inputs from all key stakeholders (sales, marketing, management, etc.) to develop the most reliable demand forecast.

Powerful, proven statistical functions (Forecast Pro™) use historical data and exceptional events to generate sales forecasts and the marketing plan, creating the best forecast for each individual item.

The system automatically selects the best-fit statistical model, smoothes historical data, and determines the effects of exceptional events and special offers, with an automatic analysis of seasonality, correlations and more. Simulations evaluate the impact of anticipated events like special offers, launching a new product, or taking on a new customer.

Analyzing & Measuring

n.SKEP® Demand Planning includes standard metrics, including measuring forecast to actual sales and statistical indicators (average, trend, variability, etc.) It also uses decision-support functionality to measure the sales value of each item or customer (ABC analysis) used to develop sales forecasts efficiently by applying an appropriate demand calculation method: monthly, weekly or daily sales forecasts, orders, or threshold replenishment.


The powerful data model of the n.SKEP® Demand Planning solution allows sales representation on multiple item and customer axes. This may be detailed or aggregated; finished product per customer, per market or sales family; etc. Each player within the collaborative process of demand forecasting records his or her information in the right unit and at the right level of detail.

The forecaster includes profiles of past and future sales by measuring the impact of marketing and logistics events on each product, or family of products. Each of the collaborators in the process has access to all decision elements, helping them to arrive at the optimal demand forecast.


  • Control the supply chain
  • Integrate sales forecasts into the supply chain management process
  • Improve customer service
  • Prevent stockouts, eliminate delays, and better anticipate customer needs
  • Reduce costs
  • Improve forecast reliability and reduce inventory
  • Increase sales
  • Reduce delivery time and provide better product availability

Download the Demand Planning brochure.

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