Empower your business with AI/ML based business forecasting through fruiSCE^® Demand Planning

Historical data is used to identify trends and patterns. Parameters for planning and forecasting can be easily identified.

The data is accurately recorded at several key data points, and it may be controlled and used as needed.

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.

A potent forecasting engine that analyses the data and generates forecasts is integrated into the demand planner.

To obtain more data for better projections, data can be transformed through aggregation and disaggregation.

Promotions can be scheduled in accordance with the planning and forecasting parameters once they are completed.

Using the inventory classification method ABC analysis, managing the materials is made simpler.

Data from causal forecasting can be used to establish the causal connection between several independent variables.

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.