We outline Reflolabs' strategy to disrupt the product returns and warranty industry. Reflolabs proposes a multi-phase approach to transform what is currently seen as a costly burden into a valuable source of "Product Failure Intelligence." By initially offering AI-powered automation for back-office warranty claims, the company aims to collect and structure proprietary data on product failures. This unique dataset, unavailable to competitors, will then be leveraged to provide predictive insights to product design, engineering, and supply chain teams, ultimately aiming to reduce future returns for customers. The document emphasizes that Reflolabs is not simply improving an existing process but creating an entirely new market category by focusing on the "data exhaust" that other companies currently discard. This approach is positioned as a "pattern breaker," establishing a strong competitive moat rooted in its unique data acquisition and analysis capabilities, making it a "Thunder Lizard" with the potential to fundamentally reshape the industrial feedback loop.