TRXio’s LiveQR Code is the industry’s newest, state-of-the-art barcoding solution in inventory and asset tracking software and we’re proud to be the ONLY software company to offer it. The real power of our system lies in the simplicity of creating one label that moves throughout your organization and beyond. This saves you time and money while also giving you detailed data about your inventory that was never before possible. With TRXio, you’ll increase efficiency because our labeling program is easy to learn, providing new hires with a shorter on-boarding and training process, plus it is a multilingual platform which helps alleviate language barriers. TRXio software doesn’t just generate barcoded labels; it goes a step further and manages your company’s information with the perfect mix of digital information that can be easily accessed and understood by your staff and customers. TRXio software is the inventory-management solution you’ve been searching for. You have so many other things to worry about—with TRXio you can feel confident that your labeling and identification needs are more than taken care of.
Fully automated QR asset tracking so you never again have to keep identifying the same box
Scan once and TRXio automatically populates the data throughout the system
Creates fully accountable time-stamped, step-by-step process that includes information such as who handled the box along the supply chain, tracks kitting, geo locations and more
Post-sale information such as consumer warranty information, IP addresses and more combine for a powerful inventory tracking software like never before
The QR Code system became popular outside the automotive industry due to its fast readability and greater storage capacity compared to standard UPC barcodes. Applications include product tracking, item identification, time tracking, document management, and general marketing.
A QR code consists of black modules (square dots) arranged in a square grid on a white background, which can be read by an imaging device (such as a camera) and processed using Reed–Solomon error correction until the image can be appropriately interpreted. The required data is then extracted from patterns present in both horizontal and vertical components of the image.