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Technical Name sales_forecast_by_periods
LicenseSee License tab
Websitehttps://odootools.com/apps/11.0/sales-trends-and-forecast-314
Also available in version v 12.0 v 13.0
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Technical Name sales_forecast_by_periods
LicenseSee License tab
Websitehttps://odootools.com/apps/11.0/sales-trends-and-forecast-314
Also available in version 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.

The tool is compatible with both Odoo Enterprise and Odoo Community.

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
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
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
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
As sales per periods all sales orders in the states 'Locked' and 'Sale Order' are taken into account
Grant the right for trends analysis for any sales user, but be cautious: all sales of a current company will be under consideration
The module features depend on your Odoo version. Please select required one on the top right of this page
Shrink sales by products, teams, countries
Chart of forecasts and historical sales
Excel table of sales

Statistical methods for forecast

Some statistical methods require deeper knowledge in statistics. To start with look at articles: https://machinelearningmastery.com/time-series-forecasting-methods-in-python-cheat-sheet, https://www.digitalocean.com/community/tutorials/a-guide-to-time-series-forecasting-with-arima-in-python-3, and https://people.duke.edu/~rnau/411arim.htm.
Autoregression (AR)

It is the simplest but still widely used statistical method for time series forecast. Using the method you consider sales trends being linear without seasonal effects, without a purely defined trend, and without smoothing abnormal observation.

Moving Average (MA) and Autoregressive Moving Average (ARMA)

The moving average method takes into account 'errors' in previous observations, and in comparison to the AR method smooths abnormal data.

The autoregressive moving average method is a combination of both AR and MA methods. To apply the ARMA method use the MA method with auto regression coefficient (P coefficient) as 2

Autoregressive Integrated Moving Average (ARIMA)

The method which also combines the methods AR and MA, but beside that it tries to make data stationary. It is appropriate to use for historical data with pure trend but without seasonal changes.

Seasonal Autoregressive Integrated Moving-Average (SARIMA)

The SARIMA method enriches the ARIMA method with considering seasonal changes. It is one of the most complex and wide spread methods utilized for forecasting time series now

Simple Exponential Smoothing (SES)

The SES model usage is similar to the AR method, but instead of relying upon linear function, it exploits exponential one

Holt Winter’s Exponential Smoothing (HWES)

The HWES method enriches the SES method to work with time series trends and seasonal effects.

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 have some seasonal changes and/or trends, which you noticed but can't fully analyse
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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

Python dependencies

To guarantee tool correct work you would need a number of Python libraries: pandas, numpy, statsmodels, scipy, xlsxwriter. To install those packages execute the command:

pip3 install pandas numpy statsmodels scipy xlsxwriter

Default values

In the most cases you apply the same statistical model and forecast the same number of periods. To save time you can assign default values to the report wizard. Go to Sales > Settings and find the section 'Sales Trends and Forecast'
Sales trends and forecast configuration
Default values to generate a report

Odoo demonstration databases (live previews)

For this app we might provide a free demo database.

To demand such database: press the button "Live Preview" on the top of this page or copy the link https://odootools.com/my/tickets/newticket?&url_app_id=96&ticket_version=11.0&url_type_id=3

No phone number or credit card are required to contact us: only a short email sign up which does not take more than 30 seconds.

By your request we will prepare an individual live preview database, where you would be able to apply any tests and to check assumptions during 14 days.

Bug reporting

In case you have faced any bugs or inconsistent behavior, do not hesitate to contact us. We guarantee to provide fixes during 60 days after a purchase, while even after this period we are strongly interested to improve our tools.

To send us a bug report: press the "Website" link on the top of this page and push the button "Bug Report" (the tab Support). Alternatively, copy the link https://odootools.com/my/tickets/newticket?&url_app_id=96&ticket_version=11.0&url_type_id=1

No phone number or credit card are required to contact us: only a short email sign up which does not take more than 30 seconds.

Please include in your request as many details as possible: screen shots, Odoo server logs, full description of how to re-produce your problem, and so on. Usually it takes a few business days to prepare a working plan by an issue (if a bug is confirmed) or provide you with guidelines what should be done (otherwise).

Public features request and module ideas (free development)

We are strongly motivated to improve our tools and would be grateful for any sort of feedback. In case your requirements are of public use and might be efficiently implemented, the team would include those into our to-do list.

Such to-do list is processed on a regular basis and does not assume extra fees. Altough we cannot promise deadlines and final design, it might be a good way to get desired features without investments and risks.

To share ideas: press the "Website" link on the top of this page and push the button "Share Features Ideas" (the tab Support). Alternatively, copy the link https://odootools.com/my/tickets/newticket?&url_app_id=96&ticket_version=11.0&url_type_id=5

No phone number or credit card are required to contact us: only a short email sign up which does not take more than 30 seconds.

New features and extra Odoo services (individual development)

Each of our apps might be customized and extended to suit your specific requirements.

Our customization team (itlibertas.com) fulfills not only such jobs but it also provides a full range of Odoo services. From simple modifications and consultations to complex enterprise projects. The team has completed over 100 implementations since 2012, and might help with any technical or business needs.

To contact us for details and conditions: press the "Website" link on the top of this page and push the button "Request Individual Customization" (the tab Support). Alternatively, copy the link https://odootools.com/my/tickets/newticket?&url_app_id=96&ticket_version=11.0&url_type_id=2

No phone number or credit card are required to contact us: only a short email sign up which does not take more than 30 seconds.

Questions and misc issues

Feel free to contact us by any other concerns, doubts, or questions: press the "Website" link on the top of this page and push the button "Raise Question" (the tab Support). Alternatively, copy the link https://odootools.com/my/tickets/newticket?&url_app_id=96&ticket_version=11.0&url_type_id=4

About the team

Odoo Tools (odootools.com) is the team of developers and business analysts to help you extend Odoo potential. We have been communicating with end users to whom the software became the main business tool since 2012. As a result, we are proud of dozens of successful Odoo apps developed. We are open for new ideas and challenges to create the best Odoo tools for business needs all over the world.

Odoo Proprietary License v1.0

This software and associated files (the "Software") may only be used (executed,
modified, executed after modifications) if you have purchased a valid license
from the authors, typically via Odoo Apps, or if you have received a written
agreement from the authors of the Software (see the COPYRIGHT file).

You may develop Odoo modules that use the Software as a library (typically
by depending on it, importing it and using its resources), but without copying
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modules under the license of your choice, provided that this license is
compatible with the terms of the Odoo Proprietary License (For example:
LGPL, MIT, or proprietary licenses similar to this one).

It is forbidden to publish, distribute, sublicense, or sell copies of the Software
or modified copies of the Software.

The above copyright notice and this permission notice must be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
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ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
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Request for demo
by
Shibil Samad (Zaeem solutions)
on 10/9/19, 2:22 AM

Hi , Would it be possible to see a demo of this moodule

Re: Request for demo
by
Odoo Tools
on 10/9/19, 4:08 AM Author

Hello Shibil, thank you for contacting us! For a demo database please forward us a request with your contact details through this form - https://odootools.com/my/tickets/newticket?&x_custom_1=x_option_97&x_custom_2=x_option_3&url_type_id=3&name=Demo Database for Testing (a short registration is required).