01
Manual entry by animal and session
Log a milk yield against a specific animal and session directly, with the entry validated against the farm’s active herd so mistyped tag numbers get caught immediately.
Milk Operations
Milk data that gets entered once, not copied three times.
Boma supports manual milk entry and AI-assisted scanning of handwritten collection sheets, so the record that starts in the parlor is the same one that ends up in your production reports — no re-typing required.
Two entry paths
Manual entry for quick logging, AI scan intake for paper sheets already in use.
Animal-linked
Every entry ties back to the animal record, not a loose row in a spreadsheet.
Source-tracked
Each record knows whether it came from web, mobile, scan import, or admin correction.
Milk Operations
Milk Log
Session-level entries, animal by animal
Morning and evening sessions are recorded per animal, with a running production trend built automatically from the underlying entries.
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What This Feature Does
In plain terms
Milk Operations covers how milk yield gets recorded, organized, and turned into something the farm can actually use for decisions. At its core is a simple entry: an animal, a session (morning or evening), a quantity, and a date — recorded either directly through the web dashboard, from the mobile app in the parlor, or by photographing a handwritten collection sheet and letting Boma’s AI scan pipeline extract the entries.
The scan pipeline exists because most farms do not stop using paper collection sheets overnight. A worker can photograph the sheet at the end of a session, the system extracts tag numbers and quantities, and a manager or worker with the right role reviews and confirms the extracted data before it becomes part of the permanent record — so the convenience of scanning does not come at the cost of accuracy.
Once entries exist, Boma builds a production trend automatically, so the question "how is the herd doing this week compared to last" has an answer without anyone assembling a chart by hand.
Key Capabilities
What you actually get
Each capability below is available today inside Boma, not a roadmap promise. Together they form the working core of this feature.
02
AI-assisted scan intake
Photograph a handwritten collection sheet from the mobile app and let the AI pipeline extract tag numbers and quantities, cutting out manual re-typing from paper.
03
Review before import
Scanned entries move through a review step where a human confirms or corrects extracted values before they are imported as real milk records, keeping AI assistance accurate rather than blindly trusted.
04
Automatic production trend
A rolling production trend is generated from underlying entries, so daily and weekly totals are visible without exporting data into a separate tool.
05
Animal-linked history
Every milk entry ties to the same animal record used across health and breeding data, so per-animal production history sits alongside everything else known about that animal.
06
Mobile-first field entry
Workers can log milk yield from a phone at the point of collection, including while offline, with entries syncing automatically once connectivity returns.
07
Admin correction with an audit trail
When an entry needs correcting after the fact, admins can adjust it with the change tracked, rather than silently overwriting the original number.
Why It Matters
The operational cost this feature actually removes
Milk is the clearest daily signal of herd health and operational performance most dairy and mixed livestock farms have, but only if the data is trustworthy and current. When collection sheets sit for days before someone transcribes them into a spreadsheet, the farm is always making decisions on stale information — and transcription from handwriting is exactly where errors creep in.
Boma closes the gap between when milk is collected and when it becomes usable data. Whether an entry comes from a quick mobile tap or a scanned sheet, it becomes part of the same structured record immediately, and the review step for scanned entries keeps a fast workflow from becoming a sloppy one.
Same-day visibility into production
Entries recorded during the day are available in the dashboard immediately, not after a weekly spreadsheet update.
One record instead of three copies
The paper sheet, the spreadsheet, and the "real" record become the same thing, removing a step where numbers can drift apart.
Errors caught at review, not months later
Scan review catches misread tag numbers or quantities before they become part of permanent production history.
A record that supports real decisions
Per-animal and per-farm trends make it possible to spot a drop in yield early instead of noticing it in a quarterly reconciliation.
Use Cases By Role
How each person on the farm actually uses this
Boma is built around real farm roles. Here is how this feature shows up differently depending on who is signed in.
Owner
Checks production trend without asking for a report
An owner can open the milk dashboard and see the current production trend directly, instead of waiting for someone to compile numbers from the week’s paper sheets.
Manager
Reviews scanned entries before they become official
A manager reviewing a batch of scanned sheets confirms extracted tag numbers and quantities are correct, catching a misread digit before it distorts a week of production data.
Worker
Logs milk yield during collection, on or off signal
A worker records each animal’s yield from a phone during the session — either typing it directly or photographing the sheet — without needing to remember to transcribe it later.
Vet
Correlates a production drop with a health event
A vet investigating a sudden yield drop for a specific animal can view its milk history next to its health record on the same profile, rather than cross-referencing two separate systems.
Admin
Corrects a recording error after the fact
When a farm reports an entry error, an admin can correct the record with the change tracked, keeping the historical trend accurate without hiding that a correction happened.
How It Works
Step by step, in practice
Milk data moves from collection to usable record through a short, repeatable path.
- 1
Milk is collected by session
Morning and evening sessions happen as normal — the workflow adapts to how the farm already collects milk.
- 2
Entry happens where it is easiest
A worker types the entry directly, or photographs the collection sheet for the AI scan pipeline to process.
- 3
Scanned entries go through review
Extracted tag numbers and quantities are checked by a person with the right role before they are treated as final.
- 4
Entries attach to the animal record
Confirmed entries become part of the permanent record for that animal, session, and date.
- 5
Trends update automatically
Production trend views reflect new entries immediately, giving owners and managers a current picture without manual assembly.
Data & Control
Who can see it, who can change it, and who is accountable for it
Milk records are scoped to the farm that created them and are never visible across farm boundaries, enforced at the database layer through row-level security rather than relying solely on application logic.
Every record carries a source — web, mobile, scan import, or admin correction — so the origin of any number is always traceable. Retried mobile submissions, which can happen naturally when a phone reconnects after being offline, use an idempotency key so the same entry is never accidentally recorded twice.
Farm-level isolation
Milk records are only visible within the farm that created them, enforced at the database layer.
Source tracking on every entry
Each record knows if it came from web, mobile, a scan import, or an admin correction.
Safe offline retries
Mobile submissions use an idempotency key so a retried sync after a dropped connection never creates a duplicate entry.
Traceable corrections
Admin edits to existing entries are made explicitly rather than silently overwriting the original recorded value.
Business Outcomes
What changes operationally once this is in place
These are the practical shifts farms describe once the feature is part of daily use, not a marketing estimate.
Same-day data instead of weekly catch-up
Production numbers are available as soon as they are entered, not after a batch transcription session.
Fewer transcription errors
Scan review catches misreads before they become permanent, instead of finding them in a later reconciliation.
Earlier visibility into yield changes
A dip in production is visible in the trend as it happens, not weeks later.
Production tied to the full animal picture
Milk history sits next to health and breeding data on the same record, supporting better decisions.
Questions
Common questions about this feature
Specific answers for teams evaluating whether this part of Boma fits how the farm actually runs.
Do we have to give up paper collection sheets to use Boma?
No. The scan intake workflow is built for farms that still use paper — photograph the sheet and Boma extracts the entries, so the paper habit does not have to change overnight.
What happens if the AI misreads a tag number or quantity?
Scanned entries go through a review step before they are imported. A person with the right role can correct any misread value before it becomes part of the official record.
Can workers enter milk data without internet access?
Yes, on the mobile app. Entries are queued locally and synced automatically once the device reconnects, with safeguards to prevent duplicate entries from a retried sync.
Is milk data organized by individual animal or just farm totals?
Both. Every entry attaches to a specific animal and session, which means the farm gets accurate totals and a usable per-animal production history at the same time.
Can an incorrect entry be fixed after it has already been recorded?
Yes. Authorized users can correct an existing entry, and the correction is tracked rather than silently replacing the original value with no trace.
Related Features
Works alongside the rest of the platform
Ready To Try It
Turn milk collection into data you can actually use.
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