‘ Any deviation can harm product quality, leading to financial losses, reputation damage, and regulatory issues’


Sabari Ramnath, Global Lead, Travel and Transportation Solutions at Unisys says, “Cold chain transportation is highly sensitive to time and temperature. Any deviation can harm product quality, leading to financial losses, reputation damage, and regulatory issues.

Technology helps mitigate these risks by optimizing routes to ensure timely delivery and providing real-time visibility into shipment conditions. This allows close monitoring at every stage. Advanced AI and machine learning models can further prevent spoilage, improving efficiency and reliability across the cold chain.”