ATLAS PLANNING SUITE

Demand Management Software

power_settings_new DEMAND MANAGEMENT OVERVIEW

Demand Management

Boost profit and improve accountability

Advanced demand management software is a cornerstone of the Atlas Planning Suite. And a highly accurate demand plan is the key driver for supply chain success. Our demand management solution enables your organization to gain a robust, yet easy-to-use foundation on which to build a more accurate demand planning process.

Empower your planners to create the best possible consensus forecast for driving manufacturing and replenishment planning. Use Atlas to overcome difficult planning challenges including new product launches, changes in customer buying patterns, unplanned events, seasonality, and more. See more key demand management capabilities listed below, all part of John Galt’s comprehensive supply chain planning software solution.

Demand Management

Statistical Forecasting

  • Select from over 25 forecast models and 50 descriptive statistics
  • Automatically determine best-fit modelling and appropriate parameter/coefficient settings with our exclusive ProCast™ expert selection technology
  • Apply machine learning to iteratively improve forecasts with adaptive forecasting algorithms using John Galt's Supply Chain Analytics (formerly Scenario Analysis)
  • Create bucketed statistical forecasts using quarterly, monthly, weekly, or daily options
  • Produce forecasts based on numerous causal variables. Examples include socioeconomic, weather, social listening, and click-through/e-commerce data.
  • Cleanse demand anomalies from data automatically or manually
  • Blend statistical models over a defined timeframe
  • Create statistical forecasts for linked products based on attach rates
  • Create statistical forecasts in real time hierarchical models: top-down, bottom-up, and middle-out

Demand Planning

  • Develop short-term and long-term plans based on demand lifecycles
  • Identify and flag exceptions where forecasts fall outside of user-defined tolerances
  • Organize useful notes at any level of the hierarchy
  • Adjust forecasts and see the impact in real time, including at any time level or any hierarchy: top-down, bottom-up, and middle-out
  • Enable different functions within the organization to view and adjust forecasts using their preferred units of measure
  • See forecast impact in multiple views scenarios using different parameter settings, such as price per unit to compare against your budget
  • Automatically analyze customer demand patterns to accurately prorate a monthly or weekly forecast to the daily level
  • Lock data input based on process steps, calendars, roles, etc.

Demand Shaping

  • Plan marketing events such as promotions, new product launches, store openings, and more
  • Derive statistical profiles of promotions based on past events
  • Separate base business from promotional business or other exceptional demand
  • Compare multiple event scenarios based on predefined or user defined parameters
  • Use product substitutions to entice customers to purchase specific products
  • Model new and retiring products from a library of life cycle profiles
  • Support product phase-in and phase-out by copying history and demand profiles from established items

Demand Sensing

  • Translate downstream data with minimal latency
  • Discover relationships in large internal and external data sets to predict future sales
  • Update system multiple times daily with latest customer orders/demand signals
  • Input real-time data, such as shipping notifications, in the forecast
  • Suggest demand optimization actions based on short-term trends
  • Use social listening, weather data, and POS sales to sense shifts in demand and respond appropriately

Reporting & Analytics

  • Generate S&OP reports supporting a Stage 3 process
  • Learn from over 50 standard reports including Lag Analysis, Accuracy Reporting, and Budget Performance
  • Support your business process via configurable Key Performance Indicators (KPIs)
  • Use configurable product segmentation attributes to select and parameterize forecast models, e.g. ABC analysis, lifecycle stage
  • Compare multiple scenarios based on predefined or user defined parameters
  • Calculate demand segments based on historical demand and other parameters to identify relative priorities for various items/groups
  • Identify unprofitable SKUs and suggest for elimination
  • Incorporate big data to identify insights and support a better plan

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