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Navigating Cold Chain Challenges with AI Solutions

Bio Spectrum

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October 2025

Artificial intelligence (AI) is playing a key role in driving the growth of the ever-demanding cold chain logistics sector, which caters to both the pharmaceutical and healthcare industries.

The role of AI in enabling real-time temperature tracking and anomaly alerts, reducing spoilage and degradation of sensitive goods, optimising routing, scheduling, and load planning, leading to more efficient delivery and fuel savings, is noteworthy. Both the cold chain and AI players are optimistic about the future growth with a rising demand for life sciences products.

Pharmaceutical cold chain logistics has been instrumental in delivering lifesaving drugs across the length and breadth of the world. It may be noted that temperature-sensitive pharma products need safety and efficacy at the highest standards.

Artificial intelligence (AI) is aiding pharma cold chain logistics in a big way. Real-time IoT monitoring, AI-powered predictive analytics, expanded cryogenic infrastructure etc, have added more benefits to pharma companies to securely transfer products from one place to another. And pharma logistics players are innovating themselves with the help of AI to help pharma companies in a large way.

Role of AI

Vaccines, biologics and cell and gene therapy drugs need constant temperature monitoring throughout production, distribution and transportation. With India's cold chain logistics supporting a rapidly expanding pharmaceuticals sector, projected at $130 billion by 2030, it is touted as an ever-growing industry.

By enabling real-time temperature monitoring, predictive maintenance, and route optimisation, AI is helping reduce spoilage, minimise delays, and build stronger compliance and trust for brands with their customers. AI is being used in very practical ways across the cold chain.

There have been instances of inefficient route plans, natural calamities, power supply issues etc. that lead to damage or degradation of almost 20 per cent of temperature-sensitive pharma products. This is where AI has gained prominence.

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