Growers on livestock-oriented platforms like Livestocked face one honest question before migrating: does the record you keep today produce the poultry-specific numbers your operation runs on? Weight against a strain-specific curve, feed conversion measured against age, mortality patterns per house — these are the numbers broiler decisions depend on, and whether a livestock-shaped system computes them is something only your own account can answer. This page covers that check, the staged cutover, and what a poultry-native record produces. It makes no claims about Livestocked's features — the check below is yours to run against your own setup.
The Livestock-Shaped Data Check
| Poultry Number Your Decisions Run On | The Question For Your Current Account |
|---|---|
| Weight against a breeder curve | Does the system chart weights against strain- and age-specific targets — or only store the numbers for you to read against a PDF? |
| Feed conversion ratio per flock | Is FCR computed from logged feed and weights per flock, or does it live in a spreadsheet you maintain beside the app? |
| Mortality per house with time | Are mortality entries structured per house and time-of-day — or a single running count per animal group? |
| Settlement reconciliation | Can integrator performance values (livability, average weight, FCR, APC rating) be recorded per flock beside your own logs? |
| Cost per pound produced | Do expenses attribute per flock and compute against pounds sold — the number contract payment per pound is compared against? |
The Staged Cutover
If the check confirms the gaps your decisions feel, the migration follows the cluster standard (the migration hub covers it fully): start at a clean boundary — a new flock placement or the first of a month; seed the active flock's current state; move finance history through the finance CSV import where rows exist (Growth plan and above); keep the old system read-only for one cycle; verify at the first settlement compared line-by-line against the new record. The generic-app guide covers the same check for crop-shaped systems.
What a Poultry-Native Record Produces
Growth charts against published breeder curves — the growth chart guide covers the reference data behind Cobb 500 and Ross 308 targets. FCR computed from logged feed and weights, benchmarked by age per the FCR guide. Mortality structured per house and time, which is what makes the cause-signature table usable. And settlement records beside your own logs — the comparison method runs from there. The breed comparison covers how strain choice interacts with all of it.
Frequently Asked Questions
What if my livestock system answers every row in the check?
Then weigh what the migration buys against its cost carefully — the buyers checklist covers the comparison framework. A migration is only worth it when the record's outputs change the decisions.
Can I migrate without losing my livestock records too?
Yes — the export-and-archive approach covers mixed operations: pull what your current system exports, keep it read-only as the archive, and let the new system own poultry records going forward. The backup guide covers the archive side.
How long does the transition take?
One grow-out cycle — the boundary to the first settlement verified on the new record. The migration hub covers the timeline in detail.
- 2026-10-06: Comprehensive rewrite as an honest capability-check migration guide — livestock-vs-poultry data table, staged cutover reference, and no competitor feature claims — replacing the earlier version with fabricated first-person claims.
- Earlier version: first-person narrative about switching from Livestocked.