v 13.0 Third Party 7
Required Apps Invoicing (account)
Technical Name sales_forecast_by_periods
LicenseSee License tab
Websitehttps://odootools.com/apps/13.0/sales-trends-and-forecast-449
Also available in version v 11.0 v 12.0 v 13.0
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Required Apps Invoicing (account)
Technical Name sales_forecast_by_periods
LicenseSee License tab
Websitehttps://odootools.com/apps/13.0/sales-trends-and-forecast-449
Also available in version v 11.0 v 12.0 v 13.0

If future sales are a black box for you, you might hardly make profitable decisions right now. How many items to purchase? Which products require aggressive advertising? Where are the best markets for us for the next year? Luckily, statistics might help if you have enough historical data. This tool let you generate sales by periods and apply statistical methods to forecast further periods.

When this tool should be used

  • You have enough historical sales data, since it is senseless to make forecast based on last 5 days of sales.
  • Your sales are regular and they are not chaotic, meaning that your decisions do not have 100% impact on your sales and there is at least some correlation between market demand and your sales.
  • You consider seasonal changes and/or trends, which you noticed but can't fully analyze. You understand which assumptions you try to check.
  • You have clear understanding how statistics works.

Sales forecasting interface

Sales 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.
The right for trends analysis might be granted to any sales user, but be cautious: all sales of a current company will be under consideration.

Scientific approach for forecasting

Apply the statistical method which you consider as the most suitable: Auto regression, Moving Average, Autoregressive Integrated Moving average, Seasonal Autoregressive Integrated Moving Average, Simple Exponential Smoothing, Holt Winter’s Exponential Smoothing.
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 an analytical use.

Topical data under consideration

Shrink your analysis for definite products, templates, categories, sales teams, or country to make rational decisions.
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 through 'predicting' actually passed intervals.
As sales per periods all sales orders in the states 'Locked' and 'Sale Order' are taken into account.

Target your analytics
Shrink sales by products, teams, countries
Experiment with various statistical models
Different statistical methods for forecast
Sales trends and forecast chart
Chart of forecasts and historical sales
Sales trends and forecast as an xlsx table
Excel table of sales
Odoo pivot view of sales trends and forecast
Odoo report for sales prediction
Sales forecast in a few clicks
Sales trends and forecast menu
Grant the right for the forecast report
Sales trends and forecast security
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