Poultry integrators run on a set of numbers ERPNext core was never designed to hold. A broiler farm lives and dies by feed conversion ratio, daily mortality, average body weight versus a breed target curve, and medication withdrawal periods — while the feed mill next door has to formulate least-cost rations, batch them against a mixer, and reconcile bulk raw-material consumption. In stock ERPNext you can model bags of feed as items and birds as a warehouse quantity, but there is no Flock, no Feed Formula, no hatchery egg-set, and no place to record a mortality event or a vaccination against a schedule. Teams end up running the real operation in spreadsheets and only booking the financial summary into ERPNext, which means the ERP never holds the truth.

ECOSIRE builds a proper Frappe application — installed as its own app on your bench, not a pile of customizations that break on upgrade — that adds the poultry and feed-mill domain to ERPNext natively. The core is a set of purpose-built DocTypes: Flock / Batch for lifecycle tracking with placement, Daily Farm Log (mortality, culls, feed issued, water, average weight, house temperature) as a child-table-driven entry, Feed Formula with a raw-material composition child table and computed nutrient/cost roll-ups, Feed Mill Batch linked to a Work Order and BOM so mixing consumes ingredients from stock, Egg Set and Hatch for the hatchery with settable/hatchable/chick-out counts, and Vaccination Schedule / Medication Log with withdrawal-period fields. Each DocType carries proper naming series, permissions, and links back to ERPNext's Item, Warehouse, Stock Entry, and Work Order so inventory and costing stay real.

The logic lives where Frappe intends it. hooks.py doc events (on_submit, validate, on_update) keep derived fields correct — submitting a Daily Farm Log decrements live bird count and posts a feed-consumption Stock Entry; submitting a Feed Mill Batch fires the linked Work Order's material transfer and finished-goods receipt. Server scripts and whitelisted Python methods compute rolling FCR, cumulative mortality percentage, and body-weight-versus-standard variance, exposed through the Frappe REST API (/api/method/...) so weighbridge scales, silo sensors, or a farm mobile app can post readings straight in. Client scripts drive the in-form UX — live FCR on the batch form, formula cost recalculation as ingredient prices change, hatchability percentages. Scheduler events run the daily rollups and raise alerts when mortality spikes or a vaccination falls due, and role profiles (Farm Manager, Feed Mill Operator, Hatchery Supervisor, Vet) scope what each user sees. It targets Frappe/ERPNext v15 and v16.

Because this is build-to-order, nothing ships until we agree on scope. It starts with a scoping call to map your species, house layout, formula library, and reporting needs, followed by a written scope and fixed quote. We build against your requirements on a staging bench, run UAT with your team, then install on your instance with a rollback plan. Typical delivery is one working week from confirmed scope depending on complexity. You receive the full source code and git repository for your build, so you are never locked to us — though we stay on for the agreed post-go-live support window and are available for ongoing enhancements.