Stock Demand Trends and Forecast v.14

The tool to calculate stock demand trends and make prediction for future demand statistically. Stock Forecast

198€

The tool does not require extra dependencies beside standard Odoo apps.
Current version: 14.0.1.0.1

Enterprise
Community
Odoo.sh

If you knew stock demand trends per warehouses, you would have a clue to decrease keeping costs and to have a flawless supply chain. Regretfully, you can't know the future. However, you can predict it with a certain reliability. This is an Odoo tool for that goal. The app let you construct stock demand per periods and forecast further demand.

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 stock operations for a definite warehouse location (with or without child locations) or analyze global company stocks demand

Topical data

Apply time frames for historical data to check statistical reliability through 'predicting' actually passed intervals. Stock demand is calculated as all done stock moves for this period which source location is one of internal locations under consideration and which destination location is not of this range

Trends interfaces

Work with stock demands 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 a product template in general (e.g. all iPads) or a specific product variant (iPad 32Gb). The app might be of especial use for markets experiencing seasonal changes: try to define statistical factors in your industry to make reliable forecasts

Inventory trends analysts

Grant the right for forecast tools for any WMS user (the group Other > Stock Demand Forecast). To start analysis it is needed to push the button 'Stock Trends' on a product template, variant, or stock location form. Be cautious: all stock operations of a current company would be under consideration.

Demand trends and forecast button
Analyse stock demand per location or company
Different statistical methods for Odoo inventory forecast
Chart of forecasts and historical moves
Odoo report for stocks prediction
Odoo forecast stock moves
Excel table of stock moves per periods

Statistical methods to forecast stock demand

  • The tool allows to calculate inventory demand trends 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 stock 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

Usage requirements

  • You have enough historical stock moves data (per location or a company), since it is senseless to make forecast based on last 5 days of operations
  • Stock demand is regular and is not chaotic, meaning that your decisions do not have 100% impact and there is at least some correlation between market demand and your WMS operations.
  • 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

Configuration and Installation Tips for Stock Demand Trends and Forecast Odoo v.14

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

Frequently Asked Questions about Stock Demand Trends and Forecast Odoo v.14

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.

The easiest approach is to use the Odoo store built-in workflow:

1. Open the module’s page and click the button Deploy on odoo.sh

2. After that, you will be redirected to the GitHub page. Login to your account and click ‘Create a new repo’ or use the existing one. Please, make sure, that your repository is private. It is not permitted to publish the apps under the OPL-1 license. If necessary, create a new repo for your Odoo.sh project

3. Then, go to odoo.sh and click on the deploy button, submit the decision in the pop-up window and click ‘Continue’. The action will trigger the installation process.

These steps would install the app for your project production branch. If you wanted to deploy the apps for other branches or update the module, you should undertake the following actions:

1. Upload the source code for the app from the Odoo store

2. Commit the module to a required GitHub repository. Make sure that none of the app folders/files are ignored (included in the .gitignore of your repo). Repositories are automatically created by odoo.sh, which might add by default some crucial items there (e.g. /lib). You should upload all module directories, subdirectories, and files without exceptions

3. Deploy a target branch of the odoo.sh project or wait until it is automatically built if your settings assume that.

  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).

Odoo demonstration databases (live previews)

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

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.

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.

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 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.

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.

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