# Comparative Analysis of SAAS Model and NPC Integration for Enhancing VR Shopping Experiences
## 7 Future Work  
The potential for furthering our study on the Shopping Assistance Automatic Suggestion (SAAS) model in virtual reality (VR) and augmented reality (AR) environments is immense. Subsequent research could prioritize certain crucial domains to further improve the purchasing experience and expand the functionalities of our model:  
Enhanced Interaction Modalities: Incorporate sophisticated methods of interaction, such as recognizing gestures and tracking eye movements, to enable more natural and effortless user engagements in virtual reality (VR) and augmented reality (AR) settings. By enabling users to interact with virtual products in a more natural manner, their entire experience can be enhanced [56]. Multimodal feedback systems involve the integration of auditory, visual, and haptic feedback to enhance shopping experiences by making them more immersive and engaging. For instance, by integrating haptic feedback, it is possible to replicate the tactile sensation of objects, enhancing the virtual shopping experience by making it more realistic and captivating [57]. Customized Augmented Reality (AR) Shopping Experiences: Expand the Shopping Assistance Automatic Suggestion (SAAS) concept to AR settings, allowing customers to see and engage with virtual objects in their actual physical environment. This may entail utilizing augmented reality glasses or mobile devices to superimpose product information and recommendations directly onto physical environments, offering a customized and contextually aware shopping experience [58]. Integrate social shopping elements that enable consumers to share their shopping experiences and recommendations with friends and family in virtual reality (VR) and augmented reality (AR) settings. This may entail virtual gatherings, sharing lists of desired items, and cooperative shopping sessions, boosting the communal dimension of the shopping experience [59]. AI-powered virtual assistants can be created within virtual reality (VR) and augmented reality (AR) settings to offer personalized shopping support in real-time. Theseassistants employ natural language processing to comprehend user inquiries and offer recommendations by analyzing user preferences and behavior in real-time [60]. Scalability and Performance Optimization: The main objective is to enhance the scalability and performance of the SAAS model to effectively manage greater datasets and more intricate user interactions in real-time. This could entail utilizing cloud computing and edge computing technologies to disperse the computational workload and minimize latency [61]. Cross-Platform Compatibility: Ensure that the Shopping Assistance Automatic Suggestion (SAAS) model and its related features are compatible across a wide range of virtual reality (VR) and augmented reality (AR) platforms, encompassing different types of headsets and mobile devices. This will enhance the accessibility of the technology to a broader range of users and ensure a uniform user experience across various devices [62]. Integration with E-Commerce Platforms: Investigate possibilities for incorporating the SAAS model into current e-commerce platforms to facilitate a smooth transition between virtual and online shopping experiences. This may entail the creation of application programming interfaces (APIs) and plugins that enable e-commerce websites to provide virtual reality (VR) and augmented reality (AR) shopping experiences directly on their platforms [63]. Implementation and Evaluation of NPC Integration: Future work will also focus on conducting extensive user experiments to evaluate the effectiveness of NPC interactions in VR shopping environments. This will include usability studies, user satisfaction surveys, and performance assessments under various scenarios to ensure the practical viability of the proposed system. Such studies will provide valuable feedback for refining NPC behavior, interaction quality, and overall system usability.