AI-ready livestock platform for Pakistan: syncs five provinces’ e-tag records into one view of FMD, vaccination and movement, with alerts and exports.
Give Pakistan’s Ministry of National Food Security & Research one national, AI-ready view of livestock and animal disease, built from the provinces’ own e-tag records instead of scattered silos.
Pakistan’s livestock is registered, tagged and monitored province by province. E-tag and animal records live in separate systems and databases, so the Ministry of National Food Security & Research had no single place to see how many animals are tagged where, where disease cases are rising, or how far vaccination has reached.
That makes the response to Foot and Mouth Disease (FMD) and other diseases such as HS and Black Quarter slower than it should be. Disease, vaccination, movement and field visits sit in different records, so trends and hotspots surface late, and an outbreak or a market cannot be traced along the full chain of movements and sales.
Data does arrive from the provinces, but nobody could easily tell which province was up to date, which sync had failed, or how fresh the numbers were. Reporting meant gathering data by hand into spreadsheets before every meeting.
A Sync Center pulls eight kinds of record from each province’s data endpoint (animal registrations, disease status, animal health, movement, sale and purchase, weight, vaccination and field visits) on an hourly schedule or on demand. Every run is logged per province and data type with its status, record counts and any error, so the ministry can see at a glance which feeds are current.
Each animal has one profile, keyed by its e-tag, with owner, breed and district, and history tabs for health, disease, vaccination, movement, weight and sales. Movements and sales update the animal’s province and status, so the chain behind an outbreak or a market can be followed.
Leadership sees national totals for animals, disease, vaccination, movement, sales, weight and field visits, then drills into any province or compares all five week by week, filtered by animal type, status or gender, with a ranking of provinces.
After every sync the platform raises in-app alerts for disease outbreaks, vaccinations falling due, failed syncs and mortality spikes, graded by severity. The team works the list down and resolves each one.
National overviews, province summaries and per-module reports export as PDF, Excel or CSV, filtered by province, district and date, with a history of past exports.
Because every province’s records now land in one clean, structured store, the platform is ready for an AI layer: FMD early warning that flags districts where cases climb faster than normal, risk scoring for animal movements out of outbreak areas, forecasts of vaccination gaps from next-due dates, anomaly detection on provincial feeds, plain-language questions over the data, and auto-written weekly briefs for ministry meetings. This is the next phase of the platform.
Five provinces’ e-tag records come together in one national platform.
Outbreak and vaccination alerts surface in the app, graded by severity, instead of waiting for a report.
Movements, sales, treatments and vaccinations sit on one animal’s history.
Clean, centralized, structured data is the foundation for FMD early warning and plain-language analytics.
National view of livestock and animal disease across all five provinces.
Data types synced from every province, each with visible sync status.
Report formats (PDF, Excel and CSV), so meetings no longer wait on manual data gathering.
The livestock platform turns five provincial silos into one national picture, and puts that data in the shape AI needs: centralized, structured and current.
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