SWE201c_-_PE_-_SU_2023_632.webp
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SWE201c_-_PE_-_SU_2023_632.webp

shopping project proposes an automated project for selecting, fitting, and purchasing women's clothing.
At the beginning of the project, some features of the Web application could be:
Size Guides and Recommendations: Online fashion retailers often provide detailed size guides that help customers choose the right size based on their body measurements. The system offers personalized size recommendations based on previous purchases or customer input, increasing the likelihood of a better fit.
360-Degree Product Views: allow customers to see a garment from different angles. This feature provides a more comprehensive understanding of the product's design, texture, and fit, aiding decision-making.
✓ High-Quality Product Images: Detailed product images showcasing different perspectives, close-ups
of fabric textures, and specific product features can give shoppers a clearer idea of how the clothing
item will look in person. Zoom and pan functions further enhance the ability to examine the details closely.Multiple Model Representation: Displaying clothing items on models with diverse body types and sizes helps customers envision how the garments might fit them. This representation contributes to a
more inclusive shopping experience and allows shoppers to see the clothing item on someone closer
to their body shape.✓ Flexible Return and Exchange Policies: Offering hassle-free return and exchange policies gives shoppers the confidence to try on garments without the risk of ending up with ill-fitting items. Being able to return or exchange purchases that don't meet expectations quickly encourages customers to try new styles and sizes.
Assume you are a product owner in this project and lead the team working on this project consisting of 6 developers and 2 QA. The organization had contracted with a local company to provide additional resources when needed.
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SWE201c
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Bích Thủy
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