AI Bank Matching for Odoo 19 Community – Suggest the Partner and Account of Bank Transactions
Let AI suggest the partner and the account of your unreconciled bank transactions from their label and amount, choosing only among your own partners and accounts, with a confidence and a reason.
AI Bank Matching reads the label and the amount of your unreconciled bank transactions and suggests the partner and the account.
Careful by design
It chooses only among your own partners and accounts: it cannot invent one
It sees the account you usually used for each candidate partner
Every suggestion has a confidence (high, medium, low) and a reason
Nothing changes until you apply a suggestion
Your way
Pick a journal and a period, press Suggest (30 transactions at a time)
Review, filter the high-confidence ones, apply many in one click or dismiss
Applying fills the partner and moves the line from the suspense account to the account
The suggestions are kept: what was applied, by whom and when
Your data
The labels and amounts and the names of the candidate partners are sent to your own AI model (OpenAI-compatible or Anthropic), with the personal data masked. The AI Connector is included.
Tested
32 automated tests with a simulated provider: the candidates, the batches, the confidence levels, the apply and dismiss steps, the transactions already matched and the access rights. It has not been run against a live provider here.
Documented
Illustrated guide in English and Arabic and an Arabic translation of the module.
What's included
taqnix_ai_bank_matching.zip: the Odoo 19 module (with Arabic translation)
Illustrated documentation in English and Arabic (HTML and PDF)
Automated tests, licence file (OPL-1) and changelog
Requirements
Odoo 19.0 Community with Invoicing, and an account with an AI provider (OpenAI-compatible or Anthropic) or a model on your own server.
What's in the download
The files in the archive you can download after you buy.
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Usage
Install and use it in a few lines.
wiz = env['taqnix.ai.bank.suggest'].create({'journal_id': bank_journal.id})wiz.action_suggest() # creates one suggestion per unreconciled transaction (30 at a time)suggestions = env['taqnix.ai.bank.suggestion'].search([('state', '=', 'pending'), ('confidence_level', '=', 'high')])suggestions.action_apply() # sets the partner and the account on the transactions
Documentation
Setup, settings and troubleshooting, written by the author.
Suggest the partner and the counterpart account of unreconciled bank transactions from their label and amount
Chooses only among your partners and accounts; sees the usual account of each partner
Confidence (high, medium, low) and reason; apply or dismiss one or many
Applying sets the partner and moves the line off the suspense account; suggestions are kept
Includes the AI Connector, Arabic translation, automated tests
Frequently asked questions
Can the AI invent a partner or an account?+
No. It is given a list of candidate partners (found from the words of the label) and your accounts, and it answers with their numbers. If none fits, there is no suggestion.
Does it reconcile the transactions?+
No. It prepares them: it sets the partner and moves the line from the suspense account to the suggested account. You reconcile or post as usual.
Can it overwrite a partner I set?+
No. A transaction that already has a partner keeps it, and a transaction that is already partly matched is not changed.
How do I know which suggestions to trust?+
Each has a confidence (high from 80%, medium from 50%) and a reason. Filter the high-confidence ones and start with them.
Does it learn my habits?+
It is shown the account you usually used for each candidate partner, so a vendor you always book to the same account is suggested that account.
How many transactions at once?+
30 per run, sent to the AI 10 at a time. Run it again for the next ones.
Which AI model does it use?+
Yours: any OpenAI-compatible service or Anthropic, through the AI Connector that is included. You pay your provider for the tokens.
Does it work in Arabic?+
Yes. The module is translated and works right to left, the labels can be in Arabic, and the documentation is in Arabic too.
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