AI powered Demand Forecasting

• Streamline uses AI to recognize customer demand patterns and increase forecasting accuracy.

• Statistical forecasting is an essential component of consensus forecasting and is a huge help to the planning team. Our statistical forecast is based on pre trained decision trees that apply seasonal time series decomposition, event-based, and intermittent demand models.

Handling Seasonality and Demand Spikes

• Streamline uses time series decomposition, intermittent demand models, and AI, a human like decision making process that selects the suitable model for each product. Our approach is highly resistant to overfitting. 

• It isn't a goal to fit irregular demand, but at the same time, it can capture all significant dependencies such as seasonality, trends, and level changes.