Sun Rayz Tanning Routine App positions itself as a technologically advanced solution for achieving desired tan levels while minimizing skin damage risks. Developed by Kain Suite Pte. Ltd., the iOS application employs artificial intelligence to analyze users' skin characteristics and generate customized tanning schedules. This approach aims to replace guesswork with data-driven recommendations, potentially reducing overexposure incidents and optimizing results. The core functionality revolves around the Skin Scanner feature, which requires users to submit a makeup-free selfie captured in natural lighting conditions. The AI algorithm processes this image to assess skin tone, sensitivity, and current tan level before generating a phased tanning plan. The system accounts for variables such as recommended exposure duration, optimal time of day, and necessary SPF protection levels. Additional features include progress tracking through periodic rescans, reminders for session scheduling, and educational content about UV safety. User experience demonstrates thoughtful design with intuitive navigation through three primary sections: skin analysis, plan execution, and progress dashboard. The interface employs visual indicators for session completion and tanning milestones, though some users report lighting consistency challenges during the scanning process. Real-world usage patterns show most engagement occurring during initial setup and weekly progress checks, with daily reminders driving consistent adherence to recommended routines. User feedback trends indicate strong satisfaction with results, though monetization strategy generates mixed reactions. Thatpersonthatexsist noted on July 17, 2025: 'It helped me get so tan and reach my tanning goals. The only downside is that I refuse to pay any app at all.' This reflects a common sentiment where users acknowledge effectiveness while expressing reluctance toward subscription models. The 4.63/5 rating suggests most users find value despite pricing concerns. The application demonstrates clear strengths in personalization accuracy and safety prioritization, though limitations include dependency on consistent lighting conditions for scans and subscription requirements for full functionality. Ideal use cases involve moderate tanning enthusiasts seeking structured approaches rather than casual users preferring spontaneous sessions. The technology represents a significant advancement over traditional tanning methods, though effectiveness ultimately depends on consistent adherence to generated plans.