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UFS
Product Introduction
Product Feature
Product Function
System Architecture
System Requirements
e-catalogue
eBizprise CPFR® Platform
eBizarch®
eBizprise Uni-Forecast System

Product Function
 
Personalized forecast Management
Different departments and users can design their own forecast model.
Forecast data management
When users add/change forecast adjustments, the system will automatically reconcile the forecast at all levels.
Forecast script Management
Users select a data file and click on the forecast icon, and then the system automatically selects the optimal model and creates a forecast.
Forecast Project Management
After a user selects the forecast icon and optimal forecast model, the system produces results of each item and level for users to analyze. The results include statistical parameters, forecast values and graphs. The UFS solution provides three different file formats for users: Numeric output (for computer analysis), formatted forecast report (for presentation) and forecast project (for collaborative process).
Override Collaborative Forecast
The Override facility allows users to adjust points/values of the forecast directly on the graphs or within a spreadsheet interface without changing databases. The UFS solution also allows users to incorporate business knowledge and easily collaborate with colleagues to produce a final forecast result.
Forecast Report Management
Formatted forecast report function automatically transforms the forecast results into an Excel spreadsheet (graphs, data analysis) which allows easy use in all business occasions.
Provide safety stock report and suggest demand during lead time (DDLT), safety stock, and reorder point.
Support Excel 2007 data format.
Core Functions of UFS System

Expert Selection

  Expert Selection takes the guesswork out of forecasting. The system analyzes historical data and automatically selects the optimal forecast technique to create forecast value, eliminating unintentional human errors.
Event Model
  Event models are used to capture responses to promotions and other unusual events, in order to adjust forecast value to realize the optimal forecast results without relying on the personal experience rules.
Multi-level models
  Multiple-level models provide two forecast methods- Bottom-up and Top-down, which are used to organize the data into hierarchies and exploit relationships between the various levels.