Life-cycle extension strategies have become critical enablers of circularity in product development. By emphasizing product longevity, reusability, repairability, and recycling capacity, these strategies aim to minimize resource consumption and waste generation while fostering sustainable value creation. This paper investigates various approaches to extending product life cycles, beginning with the design phase, where principles such as durability, modularity, repairability, and upgradability are prioritized. The manufacturing phase is also examined, with a focus on the role of additive manufacturing in enhancing resource efficiency. Emerging technologies, including artificial intelligence (AI) and machine learning (ML), are highlighted for their role in predictive maintenance during the use phase. These technologies provide valuable insights by anticipating issues and supporting informed decision-making, ensuring that products remain operational for longer periods, reducing the environmental impact of the product at its end of life. The paper also emphasizes the critical role of organizational maturity in successfully implementing life-cycle extension strategies. Companies must develop their technical capabilities, foster a culture of innovation, and align their processes with circular economy principles. By doing so, they can better integrate these strategies, ensuring their effectiveness and maximizing their impact. It concludes with guidelines for developing a systematic framework that aligns life-cycle extension strategies with circular economy goals, driving sustainable innovation and facilitating the transition to a resource-efficient economy.