The fruiSCE® Demand Planner is a comprehensive demand planning tool that provides planners with the best-fit forecasting logic through the tight integration of numerous data sources, including ERP and other supply chain solution suites. Forecasting is frequently carried out by supply chain managers based on seasonality, data set size, and patterns that are increasing or decreasing. Time-series data is as sophisticated and intricate as its constituent parts. A greater sample size prevents the mistake that results from random sampling, yet more data does not automatically imply more information. The amount of data acquired increases over time. To do the planning as accurately as possible, the forecasting engine is powered by AI, ML, and Process Mining capabilities.
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.
Reduce time to capture historical data and consolidation from multiple data sources.
Facility to adjust and modify data flexible user interface as per the requirement.
Reduce forecasting & demand planning cycle time by 100%.
Supports best in practice forecasting techniques through a variety of choice.
Data can be effortlessly traced and used for forecasting and demand planning.
Consulting for introduction forecasting and demand planning processes to generate best fit forecast by considering best practice methods which include Autoregressive Integrated Moving Average, Exponential Smoothing, Holt Winter’s Addictive & Multiplicative Methods, Holt Linear Trend, Croston’s Method, etc.
Implement forecasting and demand planning process for collecting the data from various sources and get the system to generate the forecast, create demand plan based on inputs, aggregate and disaggregate, new product introductions, sensitivity analysis, and get the best fit forecast.
Integration with all complementing solutions and data sources which include ERP, Excel, LoB solutions, eCommerce portals, and others to have a seamless flow of data to make data available on time to enable better decision making.
Software solution which is comprehensive, easy to implement, easy to maintain, built on the latest technology stack, empowered by AI/ML, process mining, mobility, API enabled, Cloud empowered, and with great user interface.
fruiSCE® WMS is designed to cater services to various industries and the following are a few of them.