ForecastPlan is a supply chain and operations planning application that synchronizes demand signals with production and inventory levels. Planners monitor operational health in one place and make data-driven adjustments as conditions change.

• Demand intelligence and forecasting - forecast accuracy is tracked by comparing forecasted demand with actual sales, helping reduce the bullwhip effect, where small shifts in consumer demand cause large, costly swings in production and inventory.
• Forecasting model choice - filter by product, region, timeframe, and horizon, then compare ARIMA, Prophet, LSTM, XGBoost, and ensemble models on accuracy, speed, and explainability before running the forecast that fits your data.
• Inventory optimization - raw materials, work in process (WIP), and packaging are tracked against optimal levels, with low inventory alerts that prevent stockouts, overstock, and production halts.
• Production orchestration - the production schedule aligns manufacturing output with available capacity, so the facility is neither idle nor overloaded and on-time delivery stays protected.
• What-if scenario planning - leadership can simulate business conditions, such as a sudden supplier failure or a surge in holiday demand, and see the impact on the bottom line before making changes to the supply chain.
• AI planning assistant - ask questions in plain language, such as how a demand increase would affect capacity, and get specific recommendations like adding shifts, moving production to a facility with spare capacity, or prioritizing high-margin products.
• KPIs that matter to planners - inventory turnover and on-time delivery, a direct measure of customer satisfaction and logistics reliability.