AI drives operational transformation in food and beverage sectors

Artificial intelligence is driving significant operational shifts across the food, beverage, and fast-moving consumer goods (FMCG) sectors. In Brazil, a study indicates that 38% of food and beverage companies have seen improvements in profitability and efficiency through AI adoption, specifically in production optimization, waste reduction, and demand forecasting. However, high implementation costs and a lack of skilled labor remain primary barriers to wider adoption.

In the restaurant sector, the concept of ‘Kitchen 4.0’ is emerging, utilizing AI and automation for real-time inventory control, procurement planning, and production management. This technology aims to integrate fragmented data from sales and stock into unified systems to improve decision-making.

On a corporate level, companies like Dabur India are treating AI as a fundamental business transformation rather than a mere technical project. This involves integrating intelligence into the operating model to handle fragmented consumer behavior through hyper-personalization. Meanwhile, the industry is moving toward ‘agentic AI’—systems capable of executing complex tasks and connecting different software workflows rather than just generating content. The AutomationEdge User Conference in São Paulo is set to address these advancements in hyper-automation and intelligent agents.