Integrated with existing cooperative systems like the Amul Automatic Milk Collection System (AMCS) and the Pashudhan application, Sarlaben delivers personalized guidance around the clock, tailoring responses to individual farmer needs. Accessibility is broad, with services available through the Amul Farmer mobile app — already adopted by over 1 million users — and via voice calls for farmers on feature phones or landlines, especially in Gujarati, the primary language of interaction.

Gujarat’s Chief Minister Bhupendra Patel is expected to formally launch the initiative, positioning Sarlaben as a critical tool to support dairy livelihoods and align with national digital empowerment goals. Amul’s leadership underscores that timely, verified information delivered through AI can improve animal productivity and bolster farm incomes, especially for women producers who make up the majority of beneficiaries.

The AI assistant’s intelligence is built on one of the most extensive cooperative data ecosystems in India. Amul’s digital infrastructure processes vast volumes of milk procurement records, veterinary treatment histories for millions of cattle, and tens of millions of artificial insemination events each year. It also integrates fodder production data derived from ISRO satellite imagery and periodic cattle census figures, enabling Sarlaben to offer precise, farm-specific recommendations.