Vogozo

Discover your perfect clothing fit with Vogozoo! 📏 👕

84 followers

Discover your perfect clothing fit with Vogozoo! 📏 👕

84 followers

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Our tool revolutionizes fit accuracy in India's online apparel market, enhancing new user adoption and reducing sizing-related returns for apparel D2C brands. In beta, it's set to launch as a user-friendly plugin, transforming India's apparel e-commerce.🇮🇳👕

Free

Launch tags:Fashion•E-Commerce•Clothing

Launch Team

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Promoted

PixelFree Studio

Great idea! Are you working on supporting more brands in the future? The forms on your website load really slow in Google Chrome. I almost thought I broke something when I selected my gender. Speaking of gender, I think some people would love to be able to select different genders for brand 1 and brand 2 - will you allow that in the future?

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3yr ago

Hunter

Thanks @caros for your kind works So we plan on improving our algorithm and in parallel adding more brands in the future as the next steps. Moreover, we will be launching a business dashboard to enable businesses to add their brand details. Thanks for reporting the slowness of the website, we are currently investigating the issue in detail. Your suggestion on allowing the user to select different genders for different brands is interesting, we will look into it to check if our current model and data could facilitate this suggestion with accuracy. Thanks again @caros for all the feedback and suggestions, please stay tuned for updates from us 😀

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3yr ago

Jusi

Congratulations on the launch. Did I understand correctly that you have a standardized directory of clothing from various sources?

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3yr ago

Hunter

Thanks @kostyadoronin More than creating a standardizing, we want to build a recommender system for the users as sometimes standardizing a size is not good enough as users might need different sizes for types of clothes, for example, a user might have different preferences in fitting while buying a formal shirt and when buying a crop top etc. and hence buy different sizes accordingly.

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3yr ago

Anything that helps lower returns is great! have you had many users sign up?

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3yr ago

Hunter

Thanks @tim_flynn We just started, and we have enough beta users and brands helping us improve our product. Once we have established enough confidence on our prediction accuracy and have solved for most of the reported bugs, we will plan a full rollout.

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3yr ago

Congratulations! How many brands do you support?

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3yr ago

Hunter

Thanks so much @tandatduong Currently, we have 5-6 brands, we will be adding more brands in the coming future and also launch a business dashboard to enable businesses to add their brands

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3yr ago