Revolutionizing Dairy Farming: How Amul Empowers 36 Million Farmers with AI Technology

AI dairy farming has taken a remarkable leap forward, not from tech hubs in Silicon Valley or European agri-tech centers, but right in the heart of Gujarat, India. Here, 3.6 million women milk producers are experiencing a transformative boost with an AI assistant named Sarlaben. This innovative approach, spearheaded by Amul, the world’s largest dairy cooperative, is reshaping how farmers receive support, offering them round-the-clock, personalized guidance in their preferred language.

Launched just prior to India’s AI Impact Summit 2026, this initiative is backed by the Ministry of Electronics and Information Technology (MeitY) and the EkStep Foundation. It serves as a litmus test for the potential of AI to tangibly impact even the most remote areas of India.

Introducing Sarlaben: Your AI Dairy Farming Companion

Meet Sarlaben, the revolutionary AI assistant that stands at the forefront of agricultural innovation. Powered by one of the most comprehensive data repositories in India, farmers can access Sarlaben through the Amul Farmer mobile app, which has already garnered over 1 million downloads across Android and iOS platforms. For those using basic feature phones, Sarlaben can also be reached via voice calls, ensuring inclusivity for all.

What sets Amul AI apart from traditional agricultural chatbots is its extensive training data. The platform is built on a solid foundation, handling more than 2 billion milk procurement transactions annually. It integrates vital veterinary treatment records from over 1,200 doctors, facilitating efficient management of roughly 30 million cattle and performing approximately 7 million artificial inseminations each year. This wealth of information is further enhanced by ISRO satellite imagery for optimal fodder production and a comprehensive cattle census conducted every five years.

Each cow within the system is assigned a unique ID, allowing for detailed records on feed intake, disease history, and milking status. “Amul AI is about delivering dependable, verified information directly to the farmer—instantly and in a language they understand,” notes Jayen Mehta, Managing Director of the Gujarat Cooperative Milk Marketing Federation (GCMMF), which oversees the Amul brand. By leveraging decades of structured data, the platform is set to empower farmers to make timely decisions, ultimately enhancing productivity and income.

India’s Milk Production Challenge

As the largest milk producer in the world, India boasts a staggering 347.87 million tonnes of milk in 2024-25, far surpassing the U.S. output of 102.70 million tonnes. Yet, despite this impressive volume, India’s per-animal milk yield ranks among the lowest globally.

This paradox can be attributed to underlying structural issues. Many Indian dairy operations are characterized by small herd sizes, inadequate feed quality, limited veterinary access in rural areas, and a general lack of awareness regarding modern breeding and husbandry techniques. Amul’s expansive network reaches over 18,600 villages in Gujarat, with farmers contributing 35 million liters of milk every day.

Information asymmetry has long hampered progress. Imagine a farmer grappling with a sick animal in the dead of night, unable to seek help. This is precisely the gap that Amul AI aims to bridge.

Initially available in Gujarati, the platform is built upon the government’s Bhashini multilingual framework, opening doors for expansion into 20 Indian languages. This could further extend Amul’s reach to 20,000 villages across 20 states.

The Strength of the Cooperative Model

The success of this AI initiative is deeply intertwined with Amul’s cooperative framework, which has evolved over the past five decades during India’s original White Revolution. This foundational structure created the necessary data infrastructure, making Amul AI not just a project, but a game-changing tool for farmers.

Many private agri-tech startups begin by collecting data, then developing products; Amul had the data in place long before launching AI. What was required was an efficient means for turning that data into actionable insights.

Industry experts monitoring the dairy tech landscape identify three critical challenges that Amul AI can address: enhancing farmer awareness, improving access to quality veterinary advice, and establishing connectivity to vital feed and grazing resources. “If AI can incorporate local dialects of Indian languages, India can achieve White Revolution 2.0,” suggests Sreeshankar Nair, founder of Brainwired, a dairy-tech startup.

According to Saswata Narayan Biswas, Director at the Institute of Rural Management, Anand (IRMA), the initiative embodies an AI-infused cooperative strategy. This transformation is not merely about a technological upgrade; it’s an opportunity for inclusive rural advancement. The AI capabilities—such as predictive disease detection, optimized feed formulation, and localized weather advisory—can significantly accelerate existing practices.

The Road Ahead: Scalability and Effectiveness

The launch of Amul AI has garnered enthusiastic support from the government, with Gujarat Chief Minister Bhupendra Patel spotlighting the platform and its potential at the AI Impact Summit 2026. Notably, other farmers beyond Amul’s network can also access general dairy and husbandry information through the app.

With its current scope, Amul AI already oversees more cattle—close to 30 million—than many national veterinary databases worldwide. However, the more significant challenge remains: ensuring that this technology reaches those who will benefit most. The farmers who initially engage with this AI platform are likely those already proficient in using smartphones, leaving behind those who may need assistance the most.

The success of this ambitious project will hinge on several critical factors: how well the Bhashini-enabled dialect support is adopted, the app’s acceptance among feature phone-dependent users, and whether the AI-derived insights translate into tangible yield improvements.

Grounded in over 50 years of real cooperative transactions and a rich data ecosystem, Amul has created an AI system poised for impactful scale. Its true effectiveness will be measured by its execution and the extent to which Sarlaben’s voice can penetrate the last critical miles; after all, these are often the toughest challenges to overcome.

Experience the future of dairy farming—let Sarlaben guide you toward empowered dairy practices and elevated productivity. Are you ready to embrace this transformative journey? Join the movement toward a more enlightened agricultural landscape today!