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Home > Buzz > Revolutionizing CPG How AI and Automation Are Shaping the Future of Food Production

Revolutionizing CPG: How AI and Automation Are Shaping the Future of Food Production

Updated on: 09 December,2024 03:58 PM IST  |  Mumbai
Buzz | sumit.zarchobe@mid-day.com

Mohan Valluri, working with a leading food production company, has spearheaded projects that incorporate AI and automation in manufacturing, packaging.

Revolutionizing CPG: How AI and Automation Are Shaping the Future of Food Production

Mohan Valluri

The consumer-packaged goods (CPG) industry is experiencing evolution, led by artificial intelligence (AI) and automation. These are not just technologies that affect how food is produced but are revolutionising the food value chain through enhancing production processes with speed, efficiency and sustainability.


An industry leader, Mohan Valluri, working with a leading food production company, has spearheaded projects that incorporate AI and automation in manufacturing, packaging, and distribution of foods to the consumers. AI and automation are already affecting almost all aspects of how food is produced, and the possibilities are increasing rapidly. At Alamance Foods, he has also incorporated the use of artificial intelligence to forecast customer demand, production timelines and minimize on wastage. With the help of real-time data, his team has been able to reduce cases of overproduction andproduced goods that are required in the market while using resources in the most efficient way possible. This has greatly minimized operational inefficiencies and wastage, thus, cutting costs and environmental impact.

This has also been realized in manufacturing where the use of robot has been a big boost. Through automation, Valluri has reduced the time taken to process and make the products while reducing human interferences. Such robotics systems enhance food safety since they provide standard ways of handling foods and enhance quality control. In addition, flexibility has been made easier by automation to implement flexible manufacturing systems that enable teams to adapt quickly to the ever-changing customer demands and trends.

“A key focus of my work has been aligning automation strategies with sustainability goals”, he added. The use of such systems infacilities involves processing of production data to determine areas where resources such as water and energy could be saved. “These insights have helped us achieve measurable reductions in our environmental footprint, including a 20% decrease in water usage across select production lines”, the professional mentioned.

He has applied AI to redesign packaging solutions to be more efficient, and therefore, reduced the material usage by 15%. These changes have not only reduced emissions through transportation but also increased an ability to satisfy the growing demand from consumers for green products.

Through the processing of large amounts of information about consumers, his organisation was able to predict new trends and create products for people with certain nutritional requirements. For example, the company’s Whipt! Vegan Whipped Creams and Coffee Topper Oat Cold Foam are two products that address the increasing market needs. The effectiveness of these products is the evidence of AI implementation, that optimises the processes and creates unique products for the modern buyer.

Additionally, the feedback loops created by artificial intelligence make it possible to adjust these products in the real world. “This approach has resulted in a 25% increase in customer satisfaction ratings for new product launches”, he confirmed.

However, the process of integrating AI and automation has been challenging. Integrating AI systems into legacy infrastructure was complex. To address this, he adopted the concept of modularity of upgrades that makes it easier to transition to smart manufacturing systems without interrupting production. This has been complimented by effective partnership with technology providers that enabled his team to embrace new industry trends without necessarily incurring unnecessary downtime.

Ensuring ethical use of AI in food production was also difficult. Valluri worked to establish oversight protocols which maintain a balance between automation and human expertise, especially in decisions impacting food safety and quality.

In conclusion, industry experts like Mohan Valluri will influence the further development of the next generation of food production. Such advancements will lead to the production process being more flexible, minimized wastes, and products tailored to the consumer’s needs as much as possible. By embracing these technologies responsibly, the food industry can create a more resilient, efficient, and sustainable future.

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