Clothing retailers live and die by the size-color matrix, and Odoo core was never built around it. Out of the box you can define product variants, but managing a run of 8 sizes × 6 colors per style means either 48 tediously-created variants per product or a spreadsheet that never matches the stock in the store. Buyers plan by season and collection; Odoo plans by product template. Merchandisers want sell-through, weeks-of-cover, size-curve coverage, and markdown timing; Odoo gives you generic inventory valuation. The gap is not that Odoo lacks features — it is that the native data model and screens speak the language of general commerce, not of apparel. Teams end up bolting fragile studio automations onto the side, and every season the workarounds get heavier.

This is a build-to-order module that ECOSIRE designs and builds for your specific catalog structure, then installs into your database. Technically it ships as a proper Odoo addon with its own __manifest__.py, dependency declarations on sale, stock, and point_of_sale, and clean upgrade paths. We model apparel-native concepts as first-class records: a Season/Collection model (models.Model) that groups product templates, size-scale and color-scale definitions that drive a generated variant matrix, and computed fields (@api.depends) for size-curve coverage and sell-through percentage so merchandisers see live numbers instead of exports. The variant matrix is exposed as an OWL/XML view for grid entry of quantities against a purchase order or stock transfer — pick a style, fill the size × color grid, and the module fans out the lines. Security is enforced with ir.model.access.csv plus record rules so a store manager sees only their location's data, and buyers see the seasonal plan. QWeb reports cover the size-curve buy sheet, per-collection sell-through, and end-of-season markdown candidates; automated actions can flag styles that breach a weeks-of-cover threshold and raise an activity for the buyer.

Because clothing retail is rarely one clean channel, the module is designed to integrate rather than sit in a silo. Point-of-Sale is extended so the matrix is usable at the till and store-level size gaps surface in the merchandising reports. The clean ORM boundary means your e-commerce, warehouse, or third-party PLM systems can read and write the seasonal plan and variant stock over Odoo's XML-RPC/JSON-RPC API without touching the database directly. We build against Odoo 17.0, 18.0, or 19.0 and are explicit about Community vs Enterprise differences up front — features that lean on Enterprise-only apps (such as advanced studio automations or certain POS capabilities) are called out during scoping so you know exactly what your edition supports before a line of code is written.

Delivery is build-to-order and starts with a short scoping call, not a download. After we agree the size scales, collection structure, reports, and integrations you need, we produce a fixed quote and a written scope. Typical delivery is one working week from confirmed scope, depending on how much of the matrix, POS, and reporting surface you want and whether historical season data needs migrating. You get the module built and tested on a staging copy of your database, a UAT pass, then a scheduled go-live with a rollback plan. Pricing starts from $999 (indicative, single-company base scope); multi-company or multi-store rollouts, deeper POS and e-commerce integration, additional localization, and larger historical data migration increase the quoted scope. The from-price anchors a single-company base build — your fixed quote is set only after the scoping call.