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A fabric distributor on an ongoing plan

Catalog sync to a vendor portal, order queue labels and a duplicate SKU cleanup, all run month by month on a live Odoo.

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  3. A fabric distributor on an ongoing plan

The client is a small business that prefers not to be named. What we did and what was checked are stated below.

Industry
Wholesale textile distribution
Service
Odoo Support / Custom Modules

01

Starting point

The company runs its catalog, orders and stock in Odoo, with a vendor portal that needs the catalog in a fixed format.

The catalog update was a manual job, order queue labels could point at the wrong product, and an earlier migration had left duplicate product records behind.

02

Constraints

  • The system is live, with receiving and ordering work running every day.
  • The vendor portal accepts one format, so the sync had to match it exactly.
  • The cleanup had to preserve the open order book.

03

Scope

  • A nightly catalog sync to the vendor portal, with a failure queue for records the portal rejects.
  • Order queue labels keyed to the immutable product id, so a scan resolves to the right product.
  • A cleanup module that finds duplicate products, re-points open order lines and blocks new duplicates at import.
  • Ongoing fixes and small changes, delivered inside the monthly plan hours.

04

Approach

Stack

Odoo 19 Enterprise · vendor portal catalog sync · custom label printing · data-cleanup module

  1. 01

    Read the live system

    The catalog, the order queue and the product records were read before any change, and the fragile points were written down.

  2. 02

    Build the sync

    The nightly catalog sync was built against the vendor portal format, with a queue for records that fail instead of a silent drop.

  3. 03

    Fix the labels and the duplicates

    Order queue labels were keyed to the immutable product id, and the cleanup module repaired open order lines and blocked new duplicates.

  4. 04

    Keep it running

    Fixes and small changes continue inside the monthly plan, with notes for every change and staging before production.

05

Evidence

The nightly catalog update runs without a person, and rejected records wait in a queue with the reason attached.

Order queue labels resolve to the right product, and new duplicates are blocked at import rather than discovered later.

06

Limitations

  • This is an ongoing support relationship, so the write-up covers the shipped items and makes no end-of-project claim.
  • No quantified business outcome is published.

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