Cold-chain IoT sensors have been shown to cut vaccine spoilage by 30% in real-world trials. This review examines how these principles apply to predictive maintenance in tablet production, enabling faster drug discovery, more targeted disease treatment, and enhanced manufacturing efficiency. By automating temperature logs via Wi-Fi, each Pfizer site saved 5 labor hours daily. The integration of IoT and AI enhances real-time monitoring, supply chain management, and product quality, contributing to increased operational productivity and flexibility. However, challenges remain, including high installation costs, the need for specialized expertise and training, and strict regulatory requirements for quality, safety, and efficacy. Overcoming these barriers is essential for pharmaceutical companies to remain competitive, ensure patient safety, and achieve sustainable growth in a rapidly evolving healthcare landscape.

Keywords: Digital Technologies, Artificial Intelligence (AI), Internet of Things (IoT), Industry 4.0, Pharma 4.0, Drug Discovery, Manufacturing Efficiency, Real-time Monitoring, Supply Chain Management, Predictive Maintenance.

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Source of Funding:

This study received no external funding.

Competing Interests Statement:

All the contributing authors declare no conflicts of interest.

Consent for publication:

The authors declare that they consented to the publication of this study.

Authors' contributions:

All the authors took part in literature review, analysis, and manuscript writing equally.

Availability of data and materials:

Availability of data were taken from the references provided [1],[4],[5],[6],[7],[8],[9].

Institutional Review Board Statement:

Not applicable.

Informed Consent:

Not applicable.

Acknowledgments:

The authors would like to extend their gratitude to the co-authors for their insights, discussions and contributions.