In Short
Stock Demand Trends and Forecast is an Odoo 19 Warehouse app. The tool to calculate stock demand trends and make predictions for future demand statistically.
Hold too much stock and you bury cash in the warehouse; hold too little and you break the supply chain. Stock Demand Trends and Forecast turns your Odoo stock-move history into a statistical demand forecast, so replenishment and capacity planning rest on data instead of guesswork.
Build reusable reports straight from your stock moves, split them by day, week, month, quarter, or year, and project future demand with proven statsmodels methods such as ARIMA, SARIMAX, and Holt-Winters. Slice by product, category, warehouse, location, operation type, or stock rule; run several series and models at once; and validate any model against real history before you trust it — all in pivot, graph, chart, or Excel.
Perfect for
Replenishment & reordering
Forecast demand per product or warehouse to set smarter reorder points and avoid both stockouts and overstock.
Procurement & supply chain
Anticipate future needs so purchasing and inbound logistics stay ahead of demand.
Warehouse & operations
Plan space, staffing, and moves around statistically projected volumes, not last month's guess.
Ready to evaluate?
Start with a free demo request or purchase in the Odoo Apps Store.
Free personalized demo. No phone number or credit card required. Free life-time updates and expert support within the major Odoo version.
Why teams choose it
Key benefits before you dive into the details
Scientific, not guesswork
Demand forecasts are built with the proven statsmodels library, so every prediction rests on real statistical methods.
Interactive analysis
Recalculate stock-demand series instantly, switch between saved reports, and adjust settings in a few clicks.
Pivot, chart, or Excel
Study historical and forecast demand as a table, line graph, or bar chart, or export it to Excel.
Focused or company-wide
Narrow to specific products, warehouses, or locations, or analyse global demand, and group into many series.
Any interval, any horizon
Work in days, weeks, months, quarters, or years and predict as many future periods as you need.
Proven before trusted
Backtest models against real history with built-in hypothesis testing before acting on a forecast.
Flexible report configuration
Reusable reports, deep warehouse filters, and consistent measures
Build reports your way
- Create as many reports as you need, each based on Odoo stock moves
- Save and reuse them, switch instantly, or experiment in real time without saving
- Choose the interval: yearly, quarterly, monthly, weekly, or daily
- Predict an unlimited number of future periods
- Show data as a table, line graph, or bar chart, or export it to Excel
- Grant access to any WMS user via the Inventory > Stock Demand Forecast group
Filter, group & measure
- Filter by product category, template, variant, unit of measure, source location, warehouse, operation type, stock rule, or company
- Add any custom rule with Odoo's dynamic domain constructor
- Choose which move states count: done, available, waiting, new, cancelled, and more
- Run several grouped series at once — by variant, location, warehouse, operation type, stock rule, and more
- Show statistical measures: count, mean, standard deviation, min, max, and quartiles
- With mixed units of measure, grouping stays consistent by unit or variant, and figures can be shortened (e.g. 192,217 → 200k) or shown precisely
Ready to evaluate?
Start with a free demo request or purchase in the Odoo Apps Store.
Free personalized demo. No phone number or credit card required. Free life-time updates and expert support within the major Odoo version.
Statistical models
Proven statsmodels engine, and you decide how to use it
Powered by proven statsmodels
- Forecasts run on the trusted Python statsmodels package
- Six models included: AutoReg, ARDL, ARIMA, SARIMAX, Holt-Winters (HWES), and Simple Exponential Smoothing (SES)
- Every model exposes its own parameters, with an in-app Help tab explaining each one
- Keep and reuse an unlimited number of configured models
You stay in control
- Nobody understands your demand tendencies better than you — choose the model and parameters that fit your business
- Compare several models side by side to see which predicts best
- Adjust and re-run flexibly from the forecast manager
- Expect to experiment: some parameter sets return no or unrealistic predictions, and that is perfectly normal
Hypothesis Testing
Backtest a model against real demand before you rely on it
Backtest against real history
- Forecast a past period you already have actuals for and overlay the prediction against real demand
- Turn on Hypothesis Testing to see how well a model and its parameters fit
- Example: train on 2017–2021, forecast 2022, then compare with what actually happened
Compare models with confidence
- Test several statistical models at the same time
- Instantly see which approach tracks reality most closely
- Decide whether a model is good enough or whether to keep experimenting
Ready to evaluate?
Start with a free demo request or purchase in the Odoo Apps Store.
Free personalized demo. No phone number or credit card required. Free life-time updates and expert support within the major Odoo version.
What you need for reliable results
Clear conditions for a reliable forecast
Enough history
Trends need a solid volume of past stock moves; a few recent days can't reveal one. Make sure every filter and grouped series has enough data.
Real, non-chaotic trends
Statistics extend patterns that already exist. Random, trendless movements won't predict well, so know which assumption (e.g. seasonality) you are testing.
A statistical mindset
There is no one-click "general" forecast. Value comes from a basic grasp of statistics and a willingness to experiment with each unique case.
Configuration and Installation Tips for Stock Demand Trends and Forecast Odoo v.19
Python dependencies
To guarantee the tool works correctly, a number of Python libraries are required: pandas, numpy, statsmodels, scipy, xlsxwriter. To install those packages execute the command:
pip3 install pandas numpy statsmodels scipy xlsxwriter
If you run Odoo on Python prior to or equal to version 3.7, please install the following versions of the packages pandas==1.3.5, statsmodels==0.13.1
Server memory limits
Running the statistical analysis and making the forecast is quite a resource-demanding operation. If users face the hanging interface, make sure that server memory limits and timeouts are enough. Otherwise, increase those settings.
Odoo demonstration databases (live previews)
For this app, we might provide a free personalized demo database.
You do not need a phone number or credit card to contact us. You should only pass 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 can apply any tests and check assumptions for about two weeks.
Bug reporting
If you encounter bugs or inconsistent behavior, do not hesitate to contact us. We guarantee to provide fixes within 60 days of purchase and are intensely interested in improving our tools even after this period.
You do not need a phone number or credit card to contact us. You should only pass a short email sign-up, which does not take more than 30 seconds.
Please include as many details as possible in your request: screenshots, Odoo server logs, a full description of how to reproduce your problem, and so on. Usually, it takes a few business days to prepare a working plan for an issue (if a bug is confirmed) or provide you with guidelines on what should be done (otherwise).
Public features requests and module ideas (free development)
We are strongly motivated to improve our tools and would be grateful for any feedback. If your requirements are of public use and might be efficiently implemented, the team will include those in our to-do list.
Such a to-do list is processed regularly and does not assume extra fees. Although we cannot promise deadlines and final design, it might be a good way to get desired features without investments and risks.
You do not need a phone number or credit card to contact us. You should only pass a short email sign-up, which does not take more than 30 seconds.
19.0.1.0.8
- The app is published to version 19.
18.0.1.0.8
- The issue with almost invisible filters has been fixed.
18.0.1.0.7
- The issue with the untranslated warnings has been fixed.
18.0.1.0.6
- The archived ribbon for inactive records is added for the form views of models and saved reports.
18.0.1.0.5
- The app is published to version 18.
17.0.1.0.6
- The analysis algorithm has been optimized to remove excess reading.
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