AR and Personalized Fashion Recommendations
For me shopping online always been easier than in shops. But unfortunately even now for me classical methods of shopping more often involve the use of general size definitions and style groups that may not in the best possible way for the specific needs of each customer. This is where AR comes in, because it allows brands to provide the customers with fashion suggestions that are more relevant by taking into consideration the customer’s body type, favorite articles of clothing, and even previous orders. AR technology allows customers to use their cameras or in-store screens to see how the clothes will look like on them in the near real time.
Zeekit’ app
Zeekit’ app (purchased by Walmart) suggests body metrics. With these technologies combined with the use of machine developing,learning algorithms, brands can now suggest styles that would fit the customers’ body shape much more effectively, making this a very personalized experience for the customer . Besides, AR can also identify colors ( pattern to match ) , the time of the year, and other preferences of the customers to give recommendations that are not limited to resizing, but also to the style and the current trends on the market.
Moreover, all these large accounts for(encoded) data such as social media habits and personal shopping histories can be checked and analyzed to provide the best styling. Customers, therefore, did not have a simple choice between what was so wishes on a rack or a website but got to choose from what is decided on the basis of customers’ individual characteristics. Such a level of customization is capable of minimizing returns and level of dissatisfaction among customers, and at the same time promoting customer loyalty and brand uptake.
Custom-Tailored Virtual Outfits: The Role of AI and AR
Among all the features that AR and AI bring to the fashion industry, the most striking one is the personalized virtual clothing try-on for customers. AI can know their individual style preferences from different sites (outlet, yoox and more) or what they have been searching for in the past and what they like sharing on social media. Together with AR this technology creates perfect experience for fashion consumers.
For example, Amazon and H&M contain AR options in the applications of smart phones through which customers can design clothes and virtually try them on. Exclusively, artificial intelligence algorithms operate in the background, making the appropriate recommendation based on a customer’s past selections ,which is already now new technique with regard to clothing. With these data points, AI brings not only fashion relevance, but much more skin to skin experience (Hoffman and Zhao, 2022, p.56).
AR increases the overall diversity within fashion domain as well as the reach of the industry. Specific types of clothing can be suggested to any consumer based on their shape, size, or physical possibilities. So AI algorithms consider each individual’s body shape in order to give them suggestions that they feel alright about themselves. This strengthens the talk of how technology is closing all the gaps in the fashion world, making shopping on individuality a reality across the world.
The Future of Hyper Personalized Shopping Experience
AR hop and AI technologies are not standing still, and so the next stage of personalized shopping may not be far away.
AI can anticipate suitable clothing based on the weather forecast for the week, important events that might be scheduled for the week or even changes in the social media trends.
AI weather fashion combines data from several weather APPs, behavioral analytics, and intelligent recommendation offer real-time clothing suggestions. When these systems detect a cold front in your area, for example, they can highlight cozy knits, boots, or scarves in your app or feed.
Glance can be as your adviser from now one. Glance use contextual knowledge with the help of artificial intelligence (AI) to provide customized outfit suggestions based on location, preferences, and the current weather.
Furthermore, as more appealing wearable AR devices get introduced to the market, the rationale of the digital and physical world’s shopping differences evaporates. Augmented reality on wearables such as glasses may act as a tool whereby the customers are able to engage with the items of clothing in a different way. These customers could ‘place’ entire wardrobes with accessories in a store while observing the assortment, or they could ‘purchasing from their living rooms, and at once look and feel the garments (Johnson, 2024). Consumers’ physical and digital experiences, known as ‘Phygital’, are held to reinvent the consumer-brand touchpoints.
Hyper-Personalization is also going to hit sustainability by the end of shopping. Thus, AI and AR help with the more precise clothing recommendations, and this approach decreases returns, which cause waste. Virtual showrooms also eliminate the extra requirements of clothes in stock, making the production line cater to the consumers’ market better (Evans, 2023).
Conclusion
The combination of AI and AR in fashion is here. This means that despite body type, style and trends, people can be given recommendations on what season’s fashionable for them and where to find it as it has become possible for fashion and tech to amalgamate thus changing the retail landscape.
References
Evans, L., 2023. Sustainable Fashion and Technology: The Role of AR and AI in Reducing Waste. Fashion Technology Review, 14(2), pp.30-41.
Hoffman, J. and Zhao, Y., 2022. Virtual Try-Ons: How AI and AR are Revolutionizing the Shopping Experience. Retail Science Quarterly, 9(4), pp.67-82.
Huang, W. and Liao, Z., 2023. Personalized Fashion with AR: Body Types and Style Preferences in the Digital Age. International Journal of Fashion Studies, 7(3), pp.112-126.
Johnson, M., 2024. The Phygital Future: How Wearable AR Will Transform Shopping. Retail Tech Today, 15(1), pp.54-63.
https://glance.com/us/blogs/glanceai/ai-shopping/ai-weather-fashion-shopping
