fruiSCE Demand Planning fruiSCE Demand Planner is a powerful tool for demand forecasting. It uses various data sources, like ERP and supply chain solutions, to help planners make accurate predictions. Forecasting is based on factors such as seasonality, data volume, and trends. Time-series data can be complex, but having a larger dataset reduces random errors. However, more data doesn't always mean more valuable insights. As time goes on, the tool continuously gathers data and uses advanced technologies like AI, ML, and Process Mining to enhance forecasting accuracy. Learn more
Planning & Forecasting Historical data is used to identify trends and patterns. Parameters for planning and forecasting can be easily identified.
Historical Data Management The data is accurately recorded at several key data points, and it may be controlled and used as needed.
Operational Visbility Real-time understanding of operational difficulties, exceptions, supply chain risks, shipment delays, projected arrival timings, and supply chain interruptions enables managers to make well-informed decisions.
Forecasting Engine A potent forecasting engine that analyses the data and generates forecasts is integrated into the demand planner.
Aggregation & Disaggregation To obtain more data for better projections, data can be transformed through aggregation and disaggregation.
Promotions Planning Promotions can be scheduled in accordance with the planning and forecasting parameters once they are completed.
ABC Analysis Using the inventory classification method ABC analysis, managing the materials is made simpler.
Casual Data Analysis Data from causal forecasting can be used to establish the causal connection between several independent variables.
Sentiment Analysis By collecting the data from the internet through browsing, social platforms and other applications used by consumers, one can understand what they are really looking for.