## 6 Conclusions  
This study investigated the relationship between perceived omnichannel service performance and customer satisfaction, conceptualized here as an expression of Quality of Experience (QoE) and a foundational component of Net-Living. The research was conducted in a semi-rural, digitally emerging context, providing a unique opportunity to examine how partial or transitional implementations of digital service infrastructure affect subjective user evaluations. The findings confirm that there is a statistically significant, positive correlation between customer satisfaction and all three dimensions of the omnichannel strategy: data integration (\(\rho\) = 0.531), logistics flexibility (\(\rho\) = 0.498), and digital payment systems (\(\rho\) = 0.234). The strongest predictor of satisfaction was data quality and accessibility, highlighting the critical role of centralized, real-time, and personalized information in shaping user trust and perceived value. By framing satisfaction as a perceptual outcome of the expectancy-disconfirmation process and linking it to the broader conceptual framework of the customer journey, the study offers a multi-level understanding of how omnichannel design influences the service experience in constrained digital environments. Theoretically, it extends existing models by validating them in a low-infrastructure context. Empirically, it provides evidence that even basic omnichannel efforts can generate meaningful improvements in user satisfaction and perceived well-being. Important methodological limitations must be acknowledged. The study was carried out at a single service station, and a non-probabilistic sample was employed, which limits the extent to which the findings can be generalized. Although the sample included regular users with varying levels of digital literacy, the results should be interpreted cautiously and cannot be extrapolated to broader populations without further empirical validation. The results yield valuable insights for both policymakers and service managers seeking to foster inclusive digital transformation. For policymakers, the study underscores the need to view digital service infrastructure as a public good, particularly in rural and underserved regions. Promoting interoperability, supporting mobile connectivity, and incentivizing user-friendly platform development can help close the gap between digital capability and access. For service managers, the evidence suggests that investment in data infrastructure and user-interface coherence can yield higher returns in satisfaction than isolated technological upgrades. Additionally, the reliance on brief, self-reported survey instruments may not fully capture the complexity of user behavior. Future studies should consider supplementing surveys with behavioral analytics or interviews to enhance the explanatory power. While payment flexibility is essential, it must be paired with transparent information systems and logistical control mechanisms that enable users to manage their transactions easily and autonomously. Moreover, service providers should prioritize the progressive onboarding of users, balancing innovation with simplicity and reliability. This includes providing low-friction, human-assisted alternatives alongside self-service digital tools, particularly for customers with low digital literacy or limited access. Several avenues for future research arise from the limitations and scope of this study. This study is limited to a single case study in a semi-rural context; therefore, generalizations should be made cautiously. Future studies could extend the analysis to multiple service environments or integrate longitudinal data. One promising direction is the exploration of artificial intelligence (AI) applications within omnichannel environments, leveraging machine learning and predictive models to enhance service personalization, automate customer interaction flows, and dynamically adjust service delivery based on evolving user preferences.