## 4 Discussion
The advancement of AI models that reduce bias and improve accuracy represents an opportunity to implement continuous improvement processes in servitization, dynamically adjusting warranty policies based on changing operating conditions [55]. Ultimately, digital transformation applied to warranty management, and servitization in particular, offers a promising path towards resource optimization, improved customer experience, and reduced operating costs [68]. The progressive and ethical implementation of these technologies is essential, as is the adoption of measures that mitigate risks [51]. Companies that adopt these technologies will be better positioned to compete in a dynamic market, aligning themselves with the principles of Industry 4.0 and preparing for Industry 5.0, which will focus on personalization and collaborative interaction between humans and technology, offering increasingly adaptive and personalized aftersales services [67]. Below is a SWOT analysis (Table 6) that examines the strengths, weaknesses, opportunities, and threats of the implementation. From here it can be seen that companies that implement AI and digital twins in warranty management will be able to significantly differentiate themselves in the market, offering highly personalized aftersales services. This digital transformation not only improves operational efficiency, but positions companies to compete in Industry 4.0 and evolve towards Industry 5.0, where the interaction between humans and advanced technologies will be key to innovative and adaptive customer service. This innovative framework enables companies in the industrial sector to respond to the growing demands for efficiency and adaptability in a digitalized environment. 1. Reduction in Failures and Operating Costs: The application of AI in predictive maintenance, combined with data analysis provided by IoT, makes it possible to anticipate failures and adjust interventions based on patterns identified in real time. This reduces \begin{table}
\begin{tabular}{l l} \hline \hline
**SWOT Analysis** & **Description** \\ \hline Strengths & Reduction in operating costs, personalization of aftersales service, and \\  & optimization of the life cycle. \\ \hline Weaknesses & High initial costs and need for specialized training. \\ \hline Opportunities & Creation of new business models, such as adaptive and adjustable \\  & guarantees based on use. \\ \hline Threats & Real-time data security challenges and interoperability with legacy systems. \\ \hline \hline \end{tabular}
\end{table} 
Table 6: SWOT. corrective interventions, minimizes downtime, and optimizes resources, resulting in substantial savings for companies [55]. For example, General Electric has managed to reduce maintenance costs by 25% by adopting digital twins, extending the life of critical assets and reducing downtime. 2. Optimizing Warranty Policies Warranty through Servitization: The adoption of e-Warranty and CMMS platforms facilitates more agile and transparent warranty management. Servitization allows warranty policies to be dynamically adapted according to the operational status and actual use of the asset, generating a more satisfactory aftersales experience aligned with customer needs. This approach responds to the trend of offering personalized services, which contribute to customer loyalty [59]. 3. Improving Customer Satisfaction through Proactive Servitization: Personalized warranty management increases customer satisfaction by providing a proactive, tailored service experience. Companies like BMW and Rolls-Royce have shown that transparency and the ability to anticipate problems through AI and digital twins create a positive experience, fostering loyalty and satisfaction [52]. To maximize the benefits of this digital transformation in warranty management, recommendations are proposed such as extending the implementation to new sectors. That is, critical sectors such as energy and advanced manufacturing can benefit from the servitization and progressive digitalization of their warranty models.