Poultry Farm Management for Odoo

Key Features

`poultry.flock` batch model with breed, house, placement date, opening count and a computed `age_days` that drives every standard-curve comparison downstream

Daily production entry: feed issued by product, mortality and culls with reason codes, eggs collected by grade, water intake, house temperature and humidity, all on one form

Computed closing bird count and cumulative mortality percentage maintained through `@api.depends` chains so figures never require a manual recalculation

Feed conversion ratio (FCR) and hen-day production percentage computed per flock and per period, comparable against the breed standard you supply

Feed issues post real `stock.move` records out of your feed store so operational consumption and inventory valuation cannot diverge

Per-flock analytic account so every feed issue, medication cost, labour allocation and sale lands on one costed batch in the P&L

Medication and vaccination log with withdrawal periods that block egg or bird sales from the affected flock until the window clears

Egg grading into distinct products (by weight band, plus cracked and dirty) received into stock, ready for `sale.order` and delivery

Live-bird and cull output recorded with weights so cost per live kilo is computed alongside cost per dozen eggs

QWeb reports: daily production sheet for the house, weekly flock performance summary, and an end-of-cycle batch closing statement with full cost breakdown

Mortality-threshold alerts via `ir.cron` and automated actions, configurable per breed and per age band, notified through Odoo's discuss channels

Record rules and `ir.model.access.csv` groups separating house supervisor, farm manager and accountant, with multi-company isolation on every model

XML-RPC / JSON-RPC endpoints so scale readings, automatic egg counters or a field data-capture app can post daily entries unattended

Built and tested against Odoo 17.0, 18.0 and 19.0 — Community-compatible, with Enterprise dashboard and mobile view integration where you run Enterprise

Built to order, done for you

No DIY setup — a working app, built, installed and supported by ECOSIRE.

You order

Start with a one-time build price. We scope it with you at kickoff.

We build & install

ECOSIRE builds, configures and installs it on your Odoo.

Go live + support

You go live in about 2–4 weeks, with a post-launch support window.

About this Product

Poultry economics live and die on numbers Odoo does not natively model. A flock is not a stock lot and not a manufacturing order: it is a living cohort placed on a given date, in a given house, that eats a feed ration daily, loses birds to mortality and culls, converts that feed into eggs or body weight, and must be costed as one unit from placement to depletion. Farms running plain Odoo end up with feed purchases in purchase.order, bird sales in sale.order, and the thing that actually matters — cost per dozen eggs, cost per live kilo, FCR, mortality percentage against a breed standard — living in a spreadsheet that nobody reconciles until the flock is already gone.

The gaps are structural, not cosmetic. Odoo core has no concept of a depleting cohort: stock.quant cannot lose 0.4% of itself per week to mortality, and mrp assumes a bill of materials consumed in one shot rather than a ration fed daily over a 40-week lay cycle or a 42-day broiler grow-out. There is no age-in-days field to drive standard curves, no place to record a vaccination with a withdrawal period that must block sales, and no way to ask "what did house 3 cost me last cycle" without exporting to Excel. Analytic accounting can carry the cost, but nothing on the operations side posts to it in the shape a farm manager recognises.

What we build is a batch-centric layer that sits on top of the Odoo you already run. A poultry.flock model carries breed, house, placement date, opening bird count, and a computed age_days that drives everything downstream; daily entries against it record feed issued by product, mortality and cull counts with a reason code, eggs collected by grade, water, temperature, and medication with its withdrawal window. Computed fields with proper @api.depends chains derive closing bird count, cumulative mortality percentage, feed conversion ratio, hen-day production percentage and cost per unit produced, so the numbers are always live rather than batch-recalculated. Feed issues move real stock through stock.move against the flock's analytic account, so the P&L and the operational report cannot drift apart. Egg and bird output can be received into inventory as graded products, ready for sale.order and delivery, and a nightly ir.cron or automated action can raise alerts when mortality crosses a threshold you set per breed.

Technically it ships as a proper Odoo addon, not a patch: a clean __manifest__.py declaring dependencies on stock, account and (where relevant) mrp, models under models/, list, form, kanban and graph views in XML with OWL components only where a plain view genuinely cannot do the job, QWeb reports for the daily production sheet and the end-of-cycle batch closing report, and access control through ir.model.access.csv plus record rules so a house supervisor sees only their own flocks while the owner sees the whole farm and every company in a multi-company setup stays isolated. Everything is reachable over XML-RPC and JSON-RPC, so scale readings, egg counters or a mobile data-capture app can post daily entries without a human typing them. It runs on Community — nothing in the core design needs Enterprise — though if you are on Enterprise we will wire the batch dashboards into the Enterprise reporting views and the mobile-friendly layouts you have already paid for.

Because this is built to order rather than downloaded, the shape is yours. We start with a scoping call to map your species and cycle (layer, broiler, breeder, or a mix), your house and shed structure, which standards you benchmark against, and which of your existing Odoo customisations the module must respect. You get a written scope with a fixed price before a line of code is written. Typical delivery is 2–4 weeks from confirmed scope, delivered as installable source for your exact Odoo version, deployed first to a staging database for your own user acceptance testing, then cut over to production with a rollback plan in hand.

What you get

Installable Odoo addon source code targeted at your exact version (17.0, 18.0 or 19.0) and your Community or Enterprise edition

Installation and configuration on your environment, including feed products, egg grade products, house records and user groups

Technical documentation: model reference, field and compute logic, security matrix, and the XML-RPC/JSON-RPC integration contract

User guide plus a live training session for farm managers and data-entry staff, recorded so you can re-use it for new hires

User acceptance testing on a staging copy of your database, with a documented rollback plan before any production cut-over

Post-go-live support window for defect fixes on the delivered scope

Private git repository handover — you own the source, with full commit history

Written scope and fixed price agreed before development begins, so there are no mid-project surprises

Who this is for

Commercial layer farm owner

Runs several houses on a multi-month lay cycle and needs cost per dozen and hen-day production per house, not a single blended farm number. Buys this to see which house is underperforming while the flock is still in it.

Broiler grow-out manager

Works in 40-45 day cycles where FCR and daily weight gain decide the margin. Needs feed issued and mortality captured daily by house, and a batch closing statement the moment birds go out.

Integrator or contract-farming coordinator

Places birds and feed with contract growers and settles on performance. Needs consistent per-batch records across farms, API-driven data capture, and record rules so each grower sees only their own flocks.

Farm accountant or controller

Already runs Odoo Accounting and needs poultry operations to post to analytic accounts automatically, so the batch profitability report and the general ledger reconcile without spreadsheet gymnastics.

How Poultry Farm Management for Odoo Compares

Criterion	ECOSIRE	Custom Build	Competitor	Odoo Native
Flock as a costed batch	Purpose-built `poultry.flock` model with age, depleting bird count and its own analytic account	Achievable, but you specify and build the whole cohort model from scratch	Usually present, though the cost model is often fixed and hard to reshape	No cohort concept — a flock has to be faked as a lot, project or MO
Mortality and culls	Daily logs with reason codes, cumulative percentage and threshold alerts per breed and age band	Depends entirely on how thoroughly you spec the reason codes and alerting	Typically a simple daily count field with limited reason analysis	Would require negative inventory adjustments with no operational meaning
Feed consumption and FCR	Feed issues move real `stock.move` records and compute FCR against the breed standard	Buildable, but linking consumption to stock valuation is where DIY projects usually stall	Feed quantities often recorded as plain numbers, disconnected from inventory	Feed sits in purchases and stock with no link to bird performance
Fit to your species and cycle	Layer, broiler or breeder logic configured to your houses and standards during scoping	Fully yours — at the cost of writing every specification yourself	One vendor's assumptions about how a farm runs; you adapt to it	Nothing poultry-specific exists to fit
Delivery time and cost certainty	Fixed price and written scope up front, typically 2-4 weeks from confirmation	Months of internal or contractor time, with scope typically expanding mid-build	Immediate download, but budget for adaptation work that is not in the sticker price	Free, but the farm keeps running its real numbers in spreadsheets
Security and multi-company	`ir.model.access.csv` groups plus record rules separating supervisor, manager and accountant across companies	Frequently deferred to phase two and never revisited	Often a single access group with everyone seeing every farm	Standard Odoo rules apply, but with no poultry models to protect
Integration with devices and other systems	XML-RPC/JSON-RPC contract documented for scales, egg counters and mobile capture	Possible, but the integration contract is another thing you must design	Rarely documented; integration usually means manual CSV import	Odoo's API exists, but there are no poultry models behind it
Ownership and long-term maintenance	Source handed over in your own git repo, with an optional support and version-migration agreement	You own it and you alone maintain it, including every Odoo version upgrade	Vendor controls the roadmap; upgrades arrive when they arrive	Maintained by Odoo, but only for functionality that does not cover poultry

Frequently Asked Questions about Poultry Farm Management for Odoo

How long does delivery take?

Typical delivery is 2-4 weeks from confirmed scope. This is a build-to-order module, not an instant download — we hold a scoping call, send you a written scope and fixed price, and development starts once you confirm. Complexity moves the number: a single-species layer farm is at the short end, a multi-species integrator setup with external API feeds and a migration of historical batch data sits at the long end. We tell you which you are before you commit.

What support and updates do I get after go-live?

Delivery includes a post-go-live support window covering defect fixes on the delivered scope. Beyond that we offer an ongoing support and maintenance agreement covering bug fixes, minor enhancements and version migrations — for example carrying the module from Odoo 18.0 to 19.0 when you upgrade. Because you receive the source in your own git repository, you are never locked in: your team or another partner can maintain it if you prefer.

Does this work on Odoo Community, or do I need Enterprise?

The core design targets Community — flocks, daily entries, feed consumption, mortality, grading, analytic costing and QWeb reports all work without an Enterprise licence. If you already run Enterprise we integrate with the reporting and dashboard views you have paid for, and where a feature genuinely depends on an Enterprise module we say so during scoping rather than after.

Will it conflict with our existing Odoo customisations?

That is exactly what the scoping call is for. We inspect your installed addons and any inherited models before quoting, and build as a separate addon that extends rather than overwrites. Everything is delivered to a staging copy of your database first, so you find out on staging, not on production. If a genuine conflict exists we identify it in the scope and price the resolution up front.

Can we import our historical flock records?

Yes, and it is worth doing — the performance reports are far more useful with prior cycles to compare against. We can import from Excel, CSV or an existing farm system into the flock and daily-entry models. Data migration is scoped and priced separately because the effort depends entirely on how clean and how complete your existing records are.

Can devices post data automatically instead of staff typing it in?

Yes. Every model is exposed over Odoo's XML-RPC and JSON-RPC APIs, so bulk scales, automatic egg counters, environmental sensors or a lightweight mobile capture app can create daily entries directly. We provide the integration contract as part of the technical documentation and can build the connector itself as scoped additional work.

Which species and production types are supported?

Layer, broiler and breeder operations are all in scope, including mixed farms. The differences are real — layers need hen-day production and egg grading, broilers need daily weight gain and FCR against a grow-out curve, breeders need hatching-egg and fertility tracking — so we configure the model and the standard curves for the species you actually run, and tell you during scoping if your setup needs anything beyond the standard build.