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International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
             5.  EVALUATION AND RESULTS :
             The WearItRent platform was evaluated through a combination of user feedback, performance metrics, and environmental
             impact assessments. Key findings include:
             1.  User Satisfaction: Surveys indicated a 90% satisfaction rate among users, highlighting ease of use, efficient search
                functionality, and seamless transactions as major strengths.
             2.  Performance Metrics: Stress testing revealed the platform could handle up to 10,000 concurrent users with minimal
                latency, demonstrating scalability and robustness.
             3.  Adoption by Local Shops: Over 70% of surveyed local shop owners found the inventory management system intuitive and
                beneficial for expanding their reach.
             4.  Environmental Impact: Preliminary estimates suggest the platform could reduce textile waste by up to 15% annually in
                its initial target market.
             5.  Search Efficiency: Average search times for users were reduced to under 5 seconds, thanks to optimized geolocation and
                filtering features.
             6.  Transaction Security: The integration of secure payment gateways resulted in zero reported incidents of fraudulent
                activity during the testing phase.
             7.  Future Improvements: Feedback identified opportunities to enhance mobile app functionality and expand eco-impact
                metrics to provide detailed environmental savings.

             6.  Conclusion and Future Scope :
             WearItRent successfully bridges the gap between local clothing rental shops and consumers through a sustainable and efficient
             platform. The implementation of advanced technologies such as real-time inventory management, geolocation services, and
             machine learning has proven to enhance user experience and operational efficiency.
             The platform demonstrates the potential to reduce textile waste, support small businesses, and promote eco-friendly practices
             in  the  fashion  industry.  Initial  evaluations  underscore  its  scalability  and  effectiveness,  setting  the  stage  for  further
             advancements.




















































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