This project is for manufacturers and retailers to have a better online shopping experience with AR and 3D solutions, helping them to reduce returns and drastically increase sales. Fashion has been a part of every era's lifestyle for hundreds of years. However, there are certain daunting challenges,
AR Tryon Multi-Vendor Store
This project is for manufacturers and retailers to have a better online shopping experience with AR and 3D solutions, helping them to reduce returns and drastically increase sales. Fashion has been a part of every era's lifestyle for hundreds of years. However, there are certain daunting challenges, like trying clothes on in a clothing store, which is usually time-consuming and not possible in certain situations. The methodology was conducted after surveying shoppers about the various holdbacks they faced during shopping. Our motivation is to help both the fashion industry and buyers increase the efficiency of their time and enhance the accessibility of outfits they try on by creating a 3D and virtual dressing experience. This project is based on the Django framework and offers sellers the opportunity to register, upload, and sell their products. On this website, vendors (stores) can register and add their products. Customers can see products in their own area and see a 3D figure on the product page using augmented reality. To meet the assorted necessities of various clients, an insightful fashion recommender framework is concentrated on in light of the standards of style and feel based on CNN. Once the project is accomplished, then the fashion market can meritoriously improve the shopping experience of consumers and get a drastic increase in sales by implementing it across multiple fashion-related industry channels.
The digital emergence of AR in shopping online has a lot more to offer. 3D AR and VR are not now limited to science fiction films. ATMS-based real-time garments showcase where you can extract the legitimate details in a more interactive manner.
Humans are inevitably attracted to something that is more visually appealing and interactive. Project scope is referenced to the evaluation of the precise utilization of AR in the fashion retail industry from both the customer and vendor’s perspective. The developed website and application are implemented to enhance the problems faced by customers when ordering apparel online via an e-commerce store. Customers can experience an effortless method of trying the clothes in a virtual environment (rather than physically putting them on).
An inexpensive and fast e-shopping experience, which will only require a mobile phone to test the garment in reality. The objective on the customer side is to virtually try the product, where the objective on the business side is to minimize the garment’s damage by bulk testing and the frequent effort that is required to return the outfits in their original shape and place. Vendors can easily access dashboards where they can track the orders and products using interactive metrics. ATMS are used to meet the need of shops to visually present their products in a multi-vendor environment.
The use of AR in retail shopping will drastically increase the tailoring pricing and promotion in real-time by 40%, provide relevant search results by 40%, personalized content across all channels by 39%, curate products that consumers are most likely looking for by 34%, Enable visual search based on images by 32% and anticipate answers that consumers will ask by 31%. So overall it’ll be beneficial to e-commerce retail business both financially and to increase customer-friendliness.

Moreover, A advanced recommendation system is implemented here to show the best result. As every e-garments website is flooded with enormous clothes but getting the right one based on latest trends is just an irritating task. We proposed CNN based recommendation system where uploaded images is checked to many online trends and then 5 products are recommended based on the availability on the website. Our motivation is to help both the fashion industry and buyers increase the efficiency of their time and enhance the accessibility of outfits they try on by creating a 3D and virtual dressing experience.
In the first user study, personalized models are used to showcase products over the website with various clothing and fitting variations. The 3D product nodes can easily be adjusted on the user end to showcase the product at different angles. Users can select the product variation with simple clicks to render the product. There are basically two methods, the one for the shops that avail the opportunity to provide the customized garments where users can set the various attributes and other just to showcase the product 3D to check the details.
The second user study is adjusted to provide the AR mobile application where users can showcase the product in the real world with the help of a mobile camera.
So overall we concluded : AR try on multi-vendor store is started with a homepage and menu items having vendor dashboard and shop link. The user can access to product page using shop and also using the search result. The product page showcases the 3D model of the product and a user button to add custom image which will be implemented on it. Where the additional it has will be the QR to generate 3D model for the mobile Application
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Hosting to test sample site | Equipment | 1 | 5000 | 5000 |
| Variation of Sample Clothes for the testing of AR products | Miscellaneous | 10 | 1000 | 10000 |
| Total in (Rs) | 15000 |
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