Data-driven expertise at scale: The platform taps into one of India’s most structured dairy datasets, including over 200 crore annual milk procurement transactions, veterinary records for nearly 3 crore cattle, and data on about 70 lakh artificial inseminations annually. Integrated with satellite-assisted fodder mapping, this infrastructure ensures that the AI delivers personalized recommendations on cattle care, nutrition, disease prevention, breeding and relevant government schemes.

Inclusive access and language support: Sarlaben is accessible through the Amul Farmer app, already used by more than 10 lakh members, and via voice calls for feature phone users, expanding reach into rural areas with limited connectivity and basic devices. The system supports multilingual guidance, a priority for farmers relying on local languages to make day-to-day operational decisions.

Integration with existing systems: The AI assistant is linked with Amul’s Automatic Milk Collection System (AMCS) and the Pashudhan app, giving farmers insight that reflects both their milk production data and animal health histories. This integration helps producers improve productivity and disease management, key drivers of income in village-level dairy economies.