This demo video provides an in‑depth walkthrough of Syspro’s manual and advanced forecasting capabilities—one of the key drivers behind accurate Materials Requirement Planning (MRP). The session explores how forecasting leverages historical sales data, seasonality patterns, and manual adjustments to generate more accurate predictions. It also highlights how planners can refine data, simulate scenarios, and connect forecasting outputs directly to machine capacity and inventory planning

Topics

• Using manual forecasting, batch forecasting, and advanced forecasting methods to predict demand for finished goods.

• Identifying and analysing seasonality using multi‑year historical sales and shipment data.

• Adjusting forecast simulations for outliers, future customer changes, late shipments, and other real‑world factors.

• Leveraging tools such as sales‑history proxies and stock‑level models to improve forecast accuracy and inventory alignment.

Insights

• The forecasting module compares multiple statistical methods and automatically recommends the best‑fit model based on historical performance.

• Users can manually adjust simulated sales history to account for external events, seasonality shifts, or known future demand changes.

• Forecasts draw on actual shipped quantities, ensuring alignment with BOM usage, raw materials, and WIP consumption.

• Sales‑history proxies and automated stock‑level adjustments help organizations plan effectively even for new products or seasonal fluctuations.