Amul Takes AI To Dairy Farmers

Just ahead of the AI Impact Summit 2026, Amul has launched a dedicated, AI-based app to cater to its 3.6 million farmers. With the dairy sector facing quality and yield-related challenges, will 'Amul AI' turn the tide?

Amul AI, AI Impact Summit 2026, Artificial Intelligence, AI, Amul, Dairy Sector, Dairy Farmers

The world's largest dairy cooperative, Amul, has turned to artificial intelligence (AI) to improve efficiency in the sector. Amul has launched "Amul AI" just ahead of the AI Impact Summit 2026 to be held in the capital region.

Over one million farmers (of the close to 3.6 million farmers Amul represents) have already downloaded the AI-based app available on Android and iOS platforms, according to sources. Farmers can also get personalised and real-time information about individual cattle through the app. Farmers not associated with Amul can also get general information on dairying and animal husbandry.

Real-Time Advisory

Planners and stakeholders point out that the move will help cattle-rearers better forecast, plan, and execute their activities. It can also improve milk yield, monitor cattle health, optimise feed, streamline logistics, reduce wastage, and enable real-time advisory and alerts for farmers.

The app system relies on the data Amul has accumulated over the years:

  • More than 200 crore milk procurement transactions every year
  • Lakhs of veterinary treatments given by roughly 1,500 doctors
  • Unique ID, feed intake, diseases, treatment given, vaccination, and the milking status of roughly 30 million cattle
  • Close to 70 lakh artificial inseminations are carried out every year
  • Fodder production data using Indian Space Research Organisation (ISRO) satellite imagery data 
  • Farmer-wise cattle census data is undertaken every five years
  • Knowledge base available with the dairies, the colleges, the hospitals, and the associated institutes

Jayen Mehta, Managing Director, Gujarat Cooperative Milk Marketing Federation (GCMMF), which sells milk and food products under the ‘Amul’ brand, termed it "a transformative experience" as it brings information, which was earlier only in the form of a database, to the fingertips of the farmers. 

Now, the knowledge base available with the dairies, the colleges, and the hospitals has been brought together. It is in text, table, and video form. It can be made available in multiple languages. We have a presence in 20 States, in addition to Gujarat. We are in 20,000 villages across India. As of now, the app is available in Gujarati, but we can do it in 20 Indian languages using Bhashini, to reach out to every single farmer in the country

— Jayen Mehta, MD, Gujarat Cooperative Milk Marketing Federation

During the launch of the app recently, Gujarat Chief Minister Bhupendra Patel said that "Amul AI" will be showcased at the upcoming AI Impact Summit 2026.

The AI-based app is also expected to increase animal productivity and income from dairying. It will also inform farmers about various government schemes and subsidies for dairy farmers. 

Current Scenario In Dairy Sector

According to the Annual Report 2024-25 of the Department of Animal Husbandry and Dairying, Ministry of Fisheries, Animal Husbandry and Dairying, the country produced 347.87 million tonnes of milk during 2024-45, an increase of 3.58% from 239.30 million tonnes in 2023-24, making India the largest producer of milk in the world. 

Top milk-producing countries according to the Milk Production by Country 2026 report (2023-24):

The top milk-producing States in India (2023-24):

  • Uttar Pradesh — 38.8 million tonnes
  • Rajasthan — 36.7 million tonnes
  • Madhya Pradesh — 22.6 million tonnes
  • Gujarat — 19.3 million tonnes
  • Maharashtra — 16.6 million tonnes 

The statistics show a clear and distinctive pattern in milk production in the country. However, despite India leading in milk production, various challenges continue to plague the sector. These include:

  • Low output per cattle
  • Poor quality of feed
  • Illness of cattle
  • Quality of artificial insemination 

A research paper titled, India Highest Milk Producer, But Has Low Per Animal Production, Why?, attributes the low yield of milk in the country to:

  • "Low input, low output model" of dairy farming 
  • Low average herd size per farmer
  • Lack of awareness among farmers about innovations in the dairy industry 

Is 'Amul AI' Gamechanger Or Experiment?

Against this backdrop, experts and stakeholders say that AI could play a major role in revolutionising the dairy sector.

According to Sreeshankar Nair, Founder of Brainwired (dairy-tech startup), Amul AI addresses three major challenges in the Indian dairy sector. Firstly, it has the potential to create awareness among farmers. Secondly, it could ensure access to quality veterinary care. And, lastly, it enhances access to large open grazing farms for farmers.  

If AI can integrate local dialects of Indian languages, India can have White Revolution 2.0. Not every farmer speaks the same dialect. Its integration by AI will have a huge impact. We can have another White Revolution by providing better feed, medical treatment, and artificial insemination, among others

— Sreeshankar Nair, Founder, Brainwired

Koumal Kalantry, CEO, Bignano Ventures (another dairy-tech startup), says that the app will empower farmers. "A collective action by a cooperative like Amul can multiply the benefits. This is a game of information. Acting on real-time information is crucial,” she said. 

Besides providing assistance to farmers, the app could also reduce input costs and enhance resilience to climate variability through its AI-enabled advisories. Moreover, data-driven quality control and traceability will boost consumer trust. "When embedded within the cooperative framework, AI becomes not just a technology upgrade, but an instrument of inclusive rural transformation," Saswata Narayan Biswas, Director, Institute of Rural Management, Anand (IRMA), told The Secretariat.

“AI will essentially augment precision livestock management using predictive analytics for disease detection, oestrus tracking, and optimised feed formulation. AI-driven advisory platforms can deliver localised, vernacular guidance on breeding, nutrition, and weather risk. That's a capability that Amul devised in-house years ago. But AI will further this. Similarly, demand forecasting and supply chain optimisation will also be positively impacted," he said.

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