Intelligent Operations: AI opportunities for food and agriculture
Updated: Mar 24
Food processing and agri-businesses across the globe are facing operational challenges such as aging assets, rising energy costs, and increases in raw material costs due to food losses during production. AI and machine learning-based predictive analytics can help transform legacy operations and help answer key questions such as: how can we improve OEE, how do we improve batch consistency, how do we optimize raw material consumption and how do we minimize waste?
Download Canvass’s latest whitepaper to learn how Food and Agriculture manufacturers can increase productivity, improve yield and reduce energy usage within their operations.