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 forecasts. The solution allows all of the stakeholders involved in the sales process (General Management, Sales and Marketing) to collaborate in order to obtain accurate forecasts of future demand.
Sales forecasts and the marketing plan are created based on historical data and on all exceptional events using the powerful and proven ‘state of the art’ statistical functions (Forecast Pro™) generating the best forecasts for each individual item. The automation and assistance possibilities provided by the system includes automatic selection of the right statistical model, smoothing of historical data and determining the effect of exceptional events, special offers, automatic analysis of the seasonality and correlations among many others.
The simulation capability offered by n.SKEP® Demand Planning facilitates the evaluation of events like the launching of a new special offer, the launching of a new item or the signing of a new customer.
Analyzing & Measuring
n.SKEP® Demand Planning includes standard metrics, such as 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) in order 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 user within the collaborative process of demand forecasting records their 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 of the 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.