Xerafy is set to unveil its cutting-edge smart RAIN RFID labeling solutions for the pharmaceutical and healthcare sectors at the AIPIA Innovation Stage, part of the CPHI South East Asia 2026 event. Scheduled from July 8 to 10 in Bangkok, Thailand, this showcase will feature advanced RFID labeling technologies that aim to enhance packaging, traceability, inventory management, and supply chain visibility within the healthcare industry.
The RFID solutions Xerafy plans to present include the XSKIN Gamma, tailored for gamma-sterilized packaging, the MICRO Medical for compact medical device identification, and the Metal Skin Delta, designed for use with on-metal healthcare assets and metallized packaging. These technologies are pivotal as they offer item-level identification and real-time data capture, which are increasingly crucial in the complex pharmaceutical supply chains present today. Through these innovations, the company hopes to improve product traceability, accuracy in inventory, and regulatory compliance by effectively linking physical products to their digital records.
Xerafy’s RFID solutions are engineered to perform in challenging environments where traditional barcode systems may fall short. This is especially relevant for situations involving bulk handling, dense storage arrangements, and regulated healthcare settings. The company’s extensive portfolio includes specialized RFID labels and tags not just for healthcare, but also for sectors like manufacturing, logistics, aerospace, oil and gas, and data centers, showcasing their versatility and adaptability to various industrial needs.
The upcoming demonstration at CPHI South East Asia 2026 will highlight the potential of connected packaging and RFID technology in fostering more efficient pharmaceutical and medical device supply chains. By integrating these advanced solutions, the industry can anticipate smoother operations and enhanced accuracy in tracking and managing healthcare products, paving the way for a more streamlined and transparent supply chain process.
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