Demand Forecasting

The Techatalyst Demand planning has many functional attributes, features, and benefits for client companies.

  • Managing demand is structured to support the needs of all users through a unique set of hierarchical and parallel hierarchical structure to facilitate marketing’s task to manage market segments
  • Merchandizing with departments, classes, sub-classes, SKUs or any other structure used
  • Sales with categories, regions, and customers
  • Operation’s with product families, groups, and lines
  • Flexible slice-and-dice capabilities are possible by rapidly accessing and viewing data and making adjustments at aggregate or detail level. This benefits each user community’s need
  • Planning can be in days, weeks, months, quarters, and years

Techatalyst uses the powerful R statistical forecasting engine incorporating the best time series techniques available anywhere worldwide, including the following algorithms:

  • Arima
  • Auto Arima
  • Auto Exponential Smoothing
  • Auto Regression
  • Croston
  • Exponential Smoothing
  • Holt Winters Smoothing
  • Simple Moving Average
  • Weighted Moving Average

Additionally users have the option to add their own algorithms

Demand Planning Benefits-

  • To support each functional area within the organization to view data supporting the way they work
  • Unlimited number of hierarchies and parallel hierarchies to suit the needs of the most demanding users
  • Merchandiser‘s group product into departments and sub-departments to support their area of control
  • Buyer/Planner reviews product in aggregate and detail prior to release to suppliers or the plants
  • Operations review data by product group and family tied to production lines
  • Sales personnel reviews sales by customer by product category, or product category by customer
  • Sales managers interrogate the total effort of his or her team in detail or aggregate
  • Forecast adjustments made top-down, bottom-up, middle-out
  • Data viewed in units, cost, selling price, margin, volume, weight, and percentages making up aggregate
  • Aggregates not stored but calculated on the fly providing greater flexibility ensuring data accuracy at all times
  • Product ranking from the most to least critical by cost, selling price, margin, and/or volume
  • Product ranking from high to low frequency of demand
  • Product analysis groups the most critical items with highest demand frequency to laser focus on what is important
  • The industry leading R forecasting engine provides high quality predictions allowing for a reduction in safety inventory
  • Detailed forecasting supports detailed budgeting and performance measures showing actual sales to forecast and budget
  • Performance measurements allows for accountability and responsive corrective action
  • Graphical displays where a picture is worth a thousand words
  • Dual forecasting graphs, one sequential, the other stacked to immediately see trend and seasonality
  • Supersession allows linking of old to new items to provide meaningful history for effective forecasting of new product