Demand Management

Improve Your Sales Forecast Accuracy

Adopting software tools to optimize Sales Forecast and Production Planning  can bring great benefits to your Company:

  • Improved service level
  • Reduced stock and purchasing costs
  • Optimized seasonal stock and distribution of production and logistics resources
  • Optimized stock levels for each branch and warehouse

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Main Features 

  • Propose sales forecast curves based on mathematical time series studies
  • Reach consensus forecasts through progressive involvement of the entire sales network. 
  • Simulate and manage new product launches and item replacement, implementing phase-in/phase-out strategies
  • Simulate and manage new markets, channels and customer scenarios
  • Look at past and future commercial events, in order to improve forecast accuracy
  • React to changes in sales volumes, to ensure continuous improvement of the forecasts

Benefits

  • Improved service level in relation to actual demand
  • Stock costs reduction, through inventory reallocation
  • Supply cost reduction, due to early planning options
  • Optimized use of production and logistics resources
  • Optimized seasonal inventory planning process
  • Inventory reduction from lost sales
  • Optimized production and stock planning with respect to individual sales points and/or distribution warehouses

Demand Management: The sedApta Suite tool to benefit from production planning

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Demand Management is the sedApta Suite component capable of ensuring that important strategic advantages are achieved by optimizing demand and sales analysis and forecasting activities through its three modules:

Statistical Sales Forecast

Allows time series creation based on survey catalogues that can be configurated thanks to features such as:

  • Business event management.
  • Customized aggregation level of time series
  • Dynamic library of analysis algorithms.
  • Various statistical error measurements.
  • Automatic calculation functions of the algorithmic best fit for the time series considered with configurable parameters.
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Sales Plan

Allows manual data forcing actions  at different aggregation levels. Forcing on forecasts allows users to better manage:

  • Special events
  • Promotions
  • Sampling
  • Storage and management of special event effects  for their rescreening
  • Prompt interventions on each data aggregation level
  • Forcing on past events to drive the forecast
  • Forcing on forecast values
  • Trend analysis for the distribution of forced values at high level on lower levels
  • Forecasting support for the introduction of new items/areas/customers/markets
  • Cloning/editing/mixing of historical values.
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Collaborative Sales Forecast

Allows the formulation of shared and validated predictions on all significant levels of decision hierarchy. The main features supported are:

  • Business event management.
  • Customized aggregation level of time series
  • Dynamic library of analysis algorithms.
  • Various statistical error measurements.
  • Automatic calculation functions of the algorithmic best fit for the time series considered with configurable parameters.
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