v 14.0 Third Party 13
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Lines of code 713
Technical Name sales_forecast_by_periods
LicenseSee License tab
Websitehttps://faotools.com/apps/14.0/sales-trends-and-forecast-546
Also available in version v 12.0 v 13.0 v 11.0
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Required Apps Invoicing (account)
Lines of code 713
Technical Name sales_forecast_by_periods
LicenseSee License tab
Websitehttps://faotools.com/apps/14.0/sales-trends-and-forecast-546
Also available in version v 12.0 v 13.0 v 11.0

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 Odoo tool let you generate sales by periods and apply statistical methods to forecast further periods.

Scientific approach for forecasting

The app assumes applying statistical methods to calculate historical trends and make a forecast. Make a few experiments with suggested solutions and coefficients to achieve the most accurate prediction

Focused analysis

Shrink considered sales for definite products, templates, categories, teams, a country, or customers: trends might be different in different markets or functional areas

Topical data

Apply time frames for historical data to check statistical reliability through 'predicting' actually passed intervals. All orders in the states 'Locked' and 'Sale Order' would be taken into account

Trends interfaces

Work with sales forecasts in a way you like: as an Odoo chart, as an Odoo report (pivot), as an Excel table

Widely applicable solutions

Analyze trends for both absolute quantities and revenues (in a company default currency). The app might be of especial use for markets experiencing seasonal changes: try to define statistical factors in your industry to make reliable forecasts

Sales trends analysts

Grant the right for forecast tools for any sales user (the group Other > Sales Forecast). To start analysis it is needed to push the menu entry Sales > Reporting > Sales Forecast. Be cautious: all sales of a current company will be under consideration.

Shrink sales by products, teams, countries
Different statistical methods for forecast
Chart of forecasts and historical sales
Odoo report for sales prediction
Odoo forecast sales
Excel table of sale trends

Statistical methods to forecast sales

  • The tool allows to calculate trends in sales based on a number of statistical methods. They have different complexity and might be suitable for a definite market or a specific business. The final choice of the method and related statistical parameters is up to end users
  • Autoregression (AR) 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) takes into account 'errors' in previous observations, and in comparison to the AR method smooths abnormal data
  • Autoregressive Moving Average (ARMA) 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) 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) 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) is similar to the AR method, but instead of relying upon linear function, it exploits exponential one
  • Holt Winter's Exponential Smoothing (HWES) enriches the SES method to work with time series trends and seasonal effects
  • To start with have look at the articles which inspired us to introduce the app: 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

Usage requirements

  • 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 of how statistics works.
Based on applied statistical methods and parameters (especially P, D, Q, and seasonal coefficients) sometimes the app would not be able to reveal a trend. In such a case, make sure you have enough historical data and try to experiment with forecast settings

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

According to the current Odoo Apps Store policies:

  • every module bought for the version 12.0 and prior gives you an access to the all versions up to 12.0.
  • starting from the version 13.0, every version of the module should be purchased separately.
  • disregarding the version, purchasing a tool grants you a right for all updates and bug fixes within a major version.

Take into account that Odoo Tools team does not control those policies. By all questions please contact the Odoo Apps Store representatives directly.

  1. Unzip source code of purchased tools in one of your Odoo add-ons directory

  2. Re-start the Odoo server

  3. Turn on the developer mode (technical settings)

  4. Update the apps' list (the apps' menu)

  5. Find the app and push the button 'Install'

  6. Follow the guidelines on the app's page if those exist.

Yes, sure. Take into account that Odoo automatically adds all dependencies to a cart. You should exclude previously purchased tools.

Regretfully, we do not have a technical possibility to provide individual prices.

Yes, all modules marked in dependencies are absolutely required for a correct work of our tool. Take into account that price marked on the app page already includes all necessary dependencies.  

No, third party apps can not be used on Odoo Online.

Red / orange warning itself does not influence features of the app. Regretfully, sometimes our modules do not pass standard automatic tests, since the latter assumes behavior which is in conflict with our apps goals. For example, we change price calculation, while standard Odoo module tests compare final price to standard algorithm.

So, first of all, please check deployed database features. Does everything work correctly?

If you still assume that warning influences real features, please contact us and forward full installation logs and the full lists of deployed modules (including core and third party ones).

As soon as you purchased the app, the button 'Deploy on Odoo.sh' will appear on the app's page in the Odoo store. Push this button and follow the instructions.

Take into account that for paid tools you need to have a private GIT repository linked to your Odoo.sh projects

Target Odoo sales analytics

Shrink sales by products, teams, countries

Experiment with various statistical models

Different statistical methods for forecast

Odoo sales trends and forecast chart

Chart of forecasts and historical sales

Odoo pivot view of sales trends and forecast

Odoo report for sales prediction

Sales statistical predictions

Odoo forecast sales

Sales trends and forecast as an xlsx table

Excel table of sale trends

Sales trends and forecast configuration: default values

Default values to generate Odoo sales trends report

Odoo demonstration databases (live previews)

For this app we might provide a free personalized demo database.

To demand such database: press the button "Live Preview" on the top of this page or copy the link https://faotools.com/s/nf9b9n

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://faotools.com/s/xl815i

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://faotools.com/s/rsjba0

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://faotools.com/s/noi7a2

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://faotools.com/s/jimcmj

About the team

faOtools (faotools.com, former 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 apps for business needs all over the world.

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Interested
by
ggeorgiev
on 2/23/21, 2:51 AM

Hi, I am interested in your module.

Is it possible to test the module on a test server before buying?

Does the module support sales from the POS module? We won't have many sales in the sales module.

Does the module support multiple warehouses?

Thanks in advance! George

Re: Interested
by
Odoo Tools
on 2/23/21, 6:47 AM Author

Hello!

We open demo databases by request. Please just leave a claim on this page - https://faotools.com/my/tickets/newticket?&url_app_id=96&ticket_version=14.0&url_type_id=3 .

As for POSes - the app Sales Trends and Forecast works only with standard Odoo sale orders. Regretfully, it doesn't depend on Point of Sale and cannot take into account POS orders.

Simultaneously, the app Stock Demand Trends and Forecast (https://apps.odoo.com/apps/modules/14.0/stock_qty_forecast/) allows to analyze and predict stock moves. So, this module might help in case of POS transfers.

As for multi warehouses:

  • The app Sales Trends and Forecast does not relate to Odoo Inventory Management. So, multi warehouses would not be taken into account (altough it is possible to make an analysis per company, sales team, country, etc)

  • The app Stock Demand Trends and Forecast would work in Multi Warehouses Mode. In particular, it is possible to analyze and forecast stock demand per each stock location.