Exploring the Potential of Exclusion Filters in E-commerce Platforms: Insights from Gen Z Female
Keywords:
Gen Z, E-commerce, Exclusion Filters, IOT, Students, WomenAbstract
The evolution of E-commerce platforms has highlighted the need for advanced personalization tools to enhance user experience This study examines the potential demand for Exclusion Filters—an innovative feature that allows users to eliminate unwanted attributes such as specific brands, colors, materials, or allergens during online shopping Data was collected from 218 Gen Z female Post Graduate students studying MBA in Sri Padmavati Mahila Visvavidyalayam, Tirupati on 6th & 7th January 2025 through structured WhatsApp polls revealing unanimous interest in adopting this feature Statistical analysis, including Chi-Square tests and descriptive statistics, confirmed significant associations between shopping frustrations and the desire for enhanced filtering mechanisms The findings underscore the relevance of this to be patented innovation (German Patent Application No: 202024107640.0 filed 31/12/2024) in addressing existing limitations of E-commerce platforms, fostering customer satisfaction, and promoting loyalty This research provides actionable insights for E-commerce giants to integrate Exclusion Filters, aligning technological advancements
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Articles in this journal are licensed under the Creative Commons Attribution-NonCommercial 4.0 International License. This license permits others to copy, distribute, and adapt the work, provided it is for non-commercial purposes, and the original author and source are properly credited.
