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odoo accounting v14 pos v15
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Forecasting based on Sales Data ?

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This question has been flagged
inventoryforecast
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Dan Witting

Hi,

Is there a possibility to automate the inventory forecasting min and max default feature to take into consideration the historic sales data , speed the products are sold, seasonaties (when products are sold), production lead time,... ? 


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Mohammed Rageh

https://odoo-community.org/psc-teams/ddmrp-185
take a look here

faOtools

This might be partially helpful: https://apps.odoo.com/apps/modules/19.0/sales_forecast_by_periods

Avatar
Rishu, Niyu Labs
Best Answer
Standard Odoo reordering rules are mostly static. They can use min/max quantities, lead times, routes, and procurement rules, but they do not automatically recalculate min/max from sales velocity, seasonality, stockout periods, and production lead time out of the box.

The clean way to approach this is:

1. Use Odoo’s current reordering rules for the operational trigger:
   - minimum quantity
   - maximum quantity
   - vendor lead time
   - manufacturing lead time
   - route / warehouse

2. Calculate the min/max values from real demand data:
   - sales history by product
   - recent velocity, not only old average sales
   - seasonal periods
   - supplier/manufacturing lead time
   - safety stock
   - stockout periods, because sales during stockout understate real demand

3. Update the reordering rules periodically:
   - daily/weekly/monthly depending on how fast your SKUs move
   - by product and ideally by warehouse/location if demand differs by site

So yes, it is possible, but usually not as a native Odoo setting. It normally needs a forecasting/replenishment layer or a custom scheduled action that recalculates the min/max quantities and writes them back to Odoo.

At Niyu Labs we built a free Odoo app around this kind of inventory forecasting/replenishment problem. The important thing is not only “forecast sales”, but turning that forecast into suggested reorder quantities that a buyer can actually trust.

If you want to keep it simple first, I would start with:
- last 30/60/90 days sales velocity,
- supplier/manufacturing lead time,
- safety stock,
- current forecasted quantity,

- and then compare the suggested min/max against actual purchase decisions for a few weeks before automating everything.

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