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International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
3. Proposed Work
Research on Revolutionizing Local Fashion through Clothing Rental explores the transformative potential of digital platforms in
reshaping consumer behavior and local retail ecosystems. The study investigates how clothing rental services are disrupting
traditional fashion consumption by attracting primarily 25-45 year old consumers motivated by sustainability, cost-
effectiveness, and style experimentation. Through mixed-methodology research involving quantitative surveys and qualitative
interviews, the investigation reveals significant insights into rental behavior, with consumers averaging 2-3 monthly rentals
and demonstrating a 47% repeat engagement rate.
The research demonstrates that clothing rental platforms create substantial economic opportunities for local shops by
generating additional revenue streams, optimizing inventory utilization, and expanding customer demographics. Key findings
highlight consumer motivations centered on environmental consciousness, economic savings, and fashion diversity, while
identifying barriers such as initial trust concerns, sizing uncertainties, and hygiene perceptions.
Technological integration emerges as a critical enabler, providing digital inventory management, real-time tracking systems,
and secure transaction infrastructures that bridge traditional retail with innovative consumption models. The platform
facilitates a circular economy approach, reducing clothing waste and extending product lifecycles through shared usage
mechanisms.
Sustainability metrics reveal significant potential for carbon footprint reduction and more responsible fashion consumption. By
democratizing access to diverse clothing styles and creating flexible ownership alternatives, these platforms challenge
conventional retail paradigms and offer a strategic response to evolving consumer preferences that prioritize experiences over
permanent possession.
The research contributes comprehensive insights into the intersection of digital innovation, sustainable fashion, and local retail
transformation, providing a framework for understanding emerging trends in clothing consumption and shared economic
models.
Comprehensive Research on Revolutionizing Local Fashion through Clothing Rental Platforms
Theoretical Framework:
The research investigates digital transformation in local fashion retail through comprehensive analysis of clothing rental
platforms, examining intricate interactions between technological innovation, consumer behavior, and sustainable economic
models. This multidisciplinary study bridges consumer psychology, digital economics, and sustainable fashion ecosystems.
Methodological Approach:
Employing mixed-method research design, the study integrates quantitative and qualitative methodologies to develop nuanced
understanding of rental platform dynamics. The research encompasses detailed surveys, in-depth interviews, and advanced
economic modeling to capture complex interactions within local fashion marketplaces.
Consumer Behavior Dynamics:
Targeted demographic analysis reveals 25-45 year old consumers as primary platform users, motivated by three fundamental
drivers: sustainability consciousness (42%), economic optimization (38%), and fashion experimentation (32%). Consumers
demonstrate sophisticated consumption patterns, averaging 2-3 monthly rentals with a significant 47% repeat engagement
rate, indicating robust platform utility and user satisfaction.
Platform Development Marketing and Promotion
The WearItRent platform is designed with three main Effective marketing strategies are critical for the platform’s
components: a consumer interface, a retailer interface, and a success. Social media campaigns, influencer marketing, and
backend system. The consumer interface includes features partnerships with local organizations will be employed to
like product browsing, booking, and payment processing, increase visibility and attract users. Retailer onboarding
while the retailer interface supports inventory management sessions will further enhance participation.
and customer interaction. The backend ensures seamless Data Collection
integration and data management.
Data collection methods include user surveys, platform
User Interface (UI) and User Experience (UX) Design usage data, and interviews with local business owners. These
The platform prioritizes a user-centered approach, focusing methods provide insights into consumer preferences,
on ease of navigation, intuitive search functionality, and a platform performance, and retailer challenges.
visually appealing design. Features like personalized Data Analysis
recommendations and detailed product descriptions Collected data will be analyzed using statistical and
enhance usability and engagement.
qualitative methods. Techniques like regression analysis and
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