SP

fruiSCE™ SCP Demand Planner

fruiSCE™ SCP Demand Planner suite enables you with a forward-looking process of coordinating assets to optimize delivery of goods, services and information from supplier to customer, balancing demand and supply. fruiSCE SCP suite provide planning, what-if scenario analysis capabilities and real time constraint based demand commitments.

fruiSCE™suite covers entire range of supply chain planning and operations with a modular solution with robust integration yet flexible enough to make implementation much easier. The fruiSCE SP is integrated with warehouse management, transportation management, global trade management, manufacturing execution, and control tower. It has connectors to most popular ERPs with seamless integration to enable faster and better planning.

fruiSCE™ SCP Demand Planner is a comprehensive demand planning solution which gives best fit forecasting logic to the planners through robust integration of all kinds of data sources which include ERP, other supply chain solution suites. Supply chain leaders perform forecasting based on three reasons viz a viz., increasing or decreasing trends, seasonality, and data set size. The components of time-series are as complex and sophisticated as the data itself. With increasing time, the data obtained increases and it doesn’t always mean that more data means more information but, larger sample avoids the error that arises due to random sampling.

Business Process

The fruiSCE™ SCP Demand Planner solution is built in 5 step approach for demand plan preparation which includes

  1. Capturing transaction history of multiple dimension data captured through any kind of data sources
  2. Perform time series forecasting with variety of forecasting techniques built in the model along with best fit model.
  3. Planners can perform modifications for forecasting data considering demand parameters and conclude as a demand plan.
  4. Record actual numbers against forecast from various data sources
  5. Prepare variance analysis and report performance to improve forecast accuracy

Key features

  • Planning & forecasting algorithmic parameters
  • Historical data management
  • Forecasting engine
  • Aggregation & disaggregation
  • NPI workbench
  • Promotions planning
  • ABC analysis
  • Causal data analysis
  • Sentiment analysis
  • User security

Key Benefits

  • Reduce time to capture historical and transaction data through multiple data sources.
  • Automatic consolidation of historical data from multiple data sources
  • Facility to adjust and modify data flexible user interface
  • Reduce forecasting & demand planning cycle time by 100%
  • Support of best in practice forecasting techniques through variety of choice.
  • Traceability of data for forecasting and demand planning
  • Seamless integration with ERP and supply chain execution systems which include WMS, TMS, GTMS, MES, and Control Tower

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