AI Replenishment
Forecast demand, size safety stock, and say buy or transfer.
What it does
Explainable weekly demand forecasts, safety-stock optimisation and buy-or-transfer suggestions with backtesting.
- Weekly demand history from stock moves, with returns netted out
- SMA, exponential smoothing, Holt-Winters and Croston methods
- Automatic method choice by data volume, with manual override
- Safety stock from service level, lead-time and demand variability
- Suggested buy or transfer quantity including MOQ rounding
- Sibling-warehouse overstock check before buying
- Rolling backtest with MAPE and bias per product
- One-click conversion to a draft RFQ or internal transfer
Screens from the real module
Captured from a live Odoo database with the module installed. Click any screen to enlarge it.
Inside the module
Everything is stored in standard Odoo models, so data stays queryable and exportable.
| Model |
|---|
forecast.model |
demand.forecast |
replenishment.setting |
replenishment.suggestion |
replenishment.run.wizard |
Requirements
Depends on stock, purchase, sale. No Enterprise edition and no third-party Python service is required.
Install in four steps
- Download the module from Odoo Apps, or add the repository and update the app list.
- Install “AI Replenishment” from the Apps menu.
- Assign the user and manager groups under Settings → Users.
- Configure the module from its own menu, then run one record end to end.
Questions
Short answers before you install.
Which Odoo versions are supported?
Odoo 19.0 and Odoo 20.0. Each series ships as its own branch, so the manifest version always matches the server.
Do I need Odoo Enterprise?
No. The module runs on Odoo Community and depends only on stock, purchase, sale.
How is it licensed?
OPL-1 (Odoo Proprietary License). One purchase covers the databases you operate.
How do I get help?
Write to alex@web4theme.com with your Odoo version and a short description; we answer within one business day.
AI Replenishment for Odoo
Explainable weekly demand forecasts, safety-stock optimisation and buy-or-transfer suggestions with backtesting.
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