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Adaptive Call Bot to Improve Operational Excellence for Pharma and MedTech Manufacturing

Author(s) Mr. Renjithkumar Surendran Pillai, Prof. Dr. patrick Denny, Prof. Dr. Eoin Oconnell
Country Ireland
Abstract Pharmaceutical and MedTech manufacturing environments are becoming more and more complicated, which requires smart digital solutions to be integrated into their regimes to improve their overall operational excellence. This investigation suggests an adaptive intelligent call bot framework that will have the ability to interact with digital twins (DTs) and Unified Namespace (UNS) structures, providing real-time communication, data access and referencing, and contextual decision-making assistance. A systematic literature review and architectural analysis of the research help determine the main enabling technologies such as MQTT, Sparkplug B, and large language models (LLMs) aiding in the application of scalable, compliant, and interoperable AI systems in regulated areas. The proposed solution would work well to align the call bot with the Industrial Internet of Things (IIoT) standards, the industry 4.0 principle, and the objectives of Pharma 4.0, which makes it evident in terms of efficiency in operations, human-machine interaction, and data-driven responsiveness in smart manufacturing environments. These results establish a basis on which conversational AI agents will be developed and deployed in the regulated industrial automation environment in future
Field Engineering
Published In Volume 7, Issue 2, February 2026
Published On 2026-02-14
DOI https://doi.org/10.70528/IJLRP.v7.i2.1937
Short DOI https://doi.org/hbphk7
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