Product Abc Classification based on delivered products
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Product Abc Classification based on delivered products

FREE

Available versions
Technical name
product_abc_classification_sale_stock
License
AGPL-3
Secure dependencies
N/A
Product Abc Classification based on delivered products

Product Abc Classification based on delivered products

Beta License: AGPL-3 OCA/product-attribute Translate me on Weblate Try me on Runboat

This modules includes an ABC analysis computation profile based on the number of sale order lines delivered from a given date by product.

Table of contents

Usage

To use this module, you need to:

#. Go to Sales or Inventory menu, then to Configuration/Products/ABC Classification Profile and create a profile with levels, knowing that the sum of all levels in the profile should sum 100 and all the levels should be different.

#. Later you should go to product variants, and assign them a profile. Then the cron classification will proceed to assign to these products one of the profile’s levels.

Bug Tracker

Bugs are tracked on GitHub Issues. In case of trouble, please check there if your issue has already been reported. If you spotted it first, help us to smash it by providing a detailed and welcomed feedback.

Do not contact contributors directly about support or help with technical issues.

Credits

Authors

  • ACSONE SA/NV

Contributors

Maintainers

This module is maintained by the OCA.

Odoo Community Association

OCA, or the Odoo Community Association, is a nonprofit organization whose mission is to support the collaborative development of Odoo features and promote its widespread use.

Current maintainers:

rousseldenis lmignon lmarion-source

This module is part of the OCA/product-attribute project on GitHub.

You are welcome to contribute. To learn how please visit https://odoo-community.org/page/Contribute.

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Python dependencies

Package Version Secured
freezegun 0.3.15
This app has automated tests.

Available languages

Language % translated
Italian / Italiano
100%
Spanish / Español
100%
French / Français
83%