Operations · demo with sample data
Milking monitoring with evidence for each shift
For dairy farms: milking equipment alerts are read automatically, each shift submits its log through WhatsApp, and its response is measured.
What it solves
The problem
Milking equipment alerts depended on someone watching the screen. There was no record of how long each shift took to address them or evidence of who handled what, and the paper log was filed without being reviewed.
What it does
An agent layer that works alongside the milking equipment and WhatsApp. It captures the equipment's alert screen and reads it with AI, tracks the status and timing of each alert, receives a photo of the supervisor's log, transcribes it and matches it against the shift's alerts. It writes nothing to the equipment; a person decides what to do with each cow and each result.
The result
Every equipment alert is recorded with its time and response time, each shift closes with a transcribed log and a compliance score, and the owner sees how the shift is going on one screen without being in the room.
How it looks
Run by the system
It captures and reads the equipment's alert screen, classifies each alert by type, tracks its time-based color indicator, closes it when it disappears from the screen, closes the shift with its response times, assigns each log to its shift by rule, transcribes it, matches it against the alerts and calculates compliance.
Decided by a person
Which cow to attend to and how, what to record in the log and when to send it, which shift to assign a manual log to, which alert types and thresholds apply, and what to do about a shift with low compliance.
- No alert is missedWhat the milking equipment displays is recorded with the cow, type and time.
- Response measured by shiftEach alert records how long it took to address, and each shift closes with its response times.
- Evidence without manual entryThe paper log arrives via WhatsApp, is transcribed and is matched automatically.
- Works alongside the equipmentThe milking equipment stays as it is; the platform only reads its screen.
“This project began at a dairy farm where milking equipment alerts depended on someone seeing them in time.”
The equipment in the milking parlor displays cows with mastitis, a drop in production or no identification, but no one measured how long each shift took to address them, and the paper log was not checked against what had happened.
What would it look like in your operation?
We review it with you in 30 minutes using your processes and systems.