Documents and records generated in Odoo are written to Azure Blob Storage on a governed schedule, so the ERP stays fast while the files it produced remain retrievable and properly retained.
Odoo accumulates attachments relentlessly: invoices, delivery notes, signed proofs, supplier documents. They sit in the database because that is where Odoo puts them, and eventually backups slow and upgrades get riskier. Meanwhile finance and legal need documents kept for years somewhere with a lifecycle policy. Connecting Odoo and Azure Blob Storage through Alumio moves the files without losing the link: documents are exported as they are created, referenced back in Odoo, and aged out by policy. The ERP holds the record, storage holds the file.

Documents move to Azure Blob Storage while their references stay in Odoo, so the database stops growing under attachments and upgrades become a smaller operation.
Files land in blob storage with metadata attached, so lifecycle and retention policies apply to documents directly rather than depending on how long the ERP happens to keep them.
Each stored file keeps its Odoo reference, so a finance query is answered from the record without anyone hunting through folders for the version that matches the invoice.
Exports run on a logged schedule with a manifest per batch, which turns document archiving from an informal habit into something with an evidence trail behind it.
As Odoo generates an invoice document, Alumio writes it to Azure Blob Storage with its metadata and records the reference back on the Odoo record, so the file is retained under policy while the ERP keeps only the pointer to it.
Historic Odoo attachments are exported in batches to blob storage and replaced with references, so a database that has been collecting files for years shrinks without losing access to any document a user needs.
Structured Odoo extracts are written to Azure Blob Storage on a schedule as files a reporting layer can read, so analysts work from staged data instead of querying the production ERP during the operational day.
Alumio sits between sales channels and fulfillment systems as a governed integration backbone. Orders are routed, transformed, and validated, while status updates return to every channel.
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More can be connected, and a reporting or analytics tool is the usual next step, since blob storage becomes a useful staging point once Odoo data lands there in a predictable shape. Alumio manages both movements, so the same governed export feeds archiving and analytics rather than requiring two separate extract jobs that drift apart over time.
Yes. Alumio connects to filesystems and object storage as published capability, so documents and extracts are written to Azure Blob Storage on event or on a schedule, with the container path and naming convention you specify. References are written back into Odoo, which is what keeps the archive usable rather than turning it into a folder nobody can map back to a transaction.
Alumio handles this through configuration, including the path structure, naming and metadata written alongside each file, which replaces the scheduled scripts teams usually maintain for exports like this. Where a specific naming convention or file transformation is required before a document is stored, for example to satisfy an archiving standard, the Code Transformer accepts custom logic at that step rather than requiring a separate job.
The file lives in blob storage and the reference lives in Odoo. Alumio writes the document to the container, stores the resulting path and metadata against the Odoo record, and leaves the ERP holding a pointer rather than the payload. Users open documents from the same place they always did, while retention, redundancy and cost are managed by storage policy instead of by the ERP database.
A document is never deleted from Odoo before its transfer is confirmed. Alumio monitors each transfer in real time, logs every message and manifest, and alerts you immediately when a write is refused, showing the file and the reason together. Automatic retries handle transient storage errors, and unconfirmed transfers stay queued and flagged, so no document is left unarchived without anyone knowing.
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