This paper explores innovative strategies to enhance the data storage capacity of QR codes using advanced multiplexing techniques. QR codes have become ubiquitous in the digital age due to their simplicity and versatility, yet their data storage limitations pose challenges for applications requiring high information density. We propose a novel multiplexing model that leverages advanced encoding algorithms and multi-layered data storage to significantly increase the capacity of QR codes without compromising their readability or error correction capabilities. Our approach involves the integration of color multiplexing, layered data encoding, and adaptive error correction to optimize storage efficiency. Through a series of simulations and practical implementations, we demonstrate that our model can effectively double the storage capacity of standard QR codes while maintaining a high degree of scanning accuracy. This advancement can transform various industries, including logistics, advertising, and mobile payments, by embedding more comprehensive information within a single QR code.