Stock Demand Trends and Forecast v.11

Demand trends and forecast are shown in comfortable manner of your choice: as an Odoo chart, as an Odoo report (pivot), as an Excel table. The latter might be also used to import data in certain statistical software

Apply the statistical method which you consider as the most suitable: Autoregression, Moving Average, Autoregressive Integrated Moving average, Seasonal Autoregressive Integrated Moving Average, Simple Exponential Smoothing, Holt Winter's Exponential Smoothing. Look at the section Statistical methods for forecast

Demand trends and forecast are constructed for product templates in general (e.g. all iPads) or specific product variants (iPad 32Gb). Use the button 'Stock Trends' on a product form for that purpose. The product under analysis should be storable

Make analysis per the whole company or per a definite location. In the latter case optionally include or exclude child locations

Stock demand is calculated as all done stock moves for this period which source location is one of internal location under consideration and which destination location is not of this range

Apply time frames of historical data which is used as an analytic basis. Forecast periods are ones which follow after the end of defined frame. In such a way you make check statistical reliability 'predicting' actually passed intervals

Forecast as many intervals as you like, but remember that prediction for the next 10 years would be hardly reliable

Based on your historical data and applied coefficients, sometimes Odoo is not able to reveal trends and make forecasts. In that case only historical data would be shown in reports. But even historical trends might have analytical use

Grant the right for trends analysis for any WMS user, but be cautious: all stock moves of a current company will be under consideration

Statistical methods for forecast

When this tool should be used