The Main Challenges of Implementing Virtual Shopping Apps
retailciooutlook

The Main Challenges of Implementing Virtual Shopping Apps

By: Retail CIO Outlook | Tuesday, May 16, 2023

Virtual try-on software is referred regarded as "the new frontier of online shopping" due to the many benefits it offers, including raising online sales, traffic, and consumer satisfaction while lowering returns. This is made possible by augmented reality (AR) and machine learning technologies.

Fremont, CA: Virtual try-on apps are advancing quickly, with businesses like Ikea joining together with luxury merchants like Burberry and cosmetics companies like Sephora. According to study by Deloitte, interacting with virtual try-on AR-based experiences increases conversion rates by 94%. This is made possible by augmented reality (AR) and machine learning technologies. The epidemic has accelerated pre-existing trends, making virtual try-on applications more than just a nice-to-have feature. They are now a crucial component of commerce.

Virtual try-on software is referred regarded as "the new frontier of online shopping" due to the many benefits it offers, including raising online sales, traffic, and consumer satisfaction while lowering returns. It's crucial to be aware of the difficulties that implementing virtual try-on apps presents, from technology complexity to striking a balance between creating an authentic experience and having fun.

Why have mobile apps for virtual try-ons become the new norm for customer service?

Since Covid, marketers are increasingly using virtual try-on applications to promote their items and create an engaging experience, giving consumers a means to enjoy a real-life shopping experience from the comfort of their homes.

Key Tech Challenges with developing virtual try-on apps

There are certain difficulties with virtual try-ons notwithstanding their benefits and rising popularity. Virtual try-on apps, from a technical standpoint, employ augmented reality to overlay an object, like shoes, onto an image taken with a phone camera.

Enhanced application efficiency

In order to obtain optimum performance, your solution must be constrained. That entails a consistent 25 frames per second for video. With picture processing, it's a little simpler because you have more time, but the user shouldn't have to wait more than a few of seconds.

Data security

Data privacy is another another concern, one that is receiving more and more attention. App users are considerably more mindful of data now. Sharing images or videos can also influence individuals to reconsider their actions, particularly when using an illustration like tight clothing.

3D modeling

Purchasing the 3D models is the final point to make. These models are necessary, but how well they work will determine the outcome. There are various ways you can address that difficulty. For instance, you can decide to get a specialized 3D scanner with the appropriate software, which will give you a model of the best quality. A professional 3D artist can be hired as an alternative to produce the models.

Development of bespoke virtual try-on applications

Custom virtual try-ons have their own set of problems, which are frequently more complicated because the apps tend to be more accurate and produce more detailed images. That refers to new technological difficulties.

Artificially created natural lighting

One of them is adjusting for object brightness and ambient light saturation. The item appears synthetic in poor lighting. That can make the virtual try-on app's immersive experience for the customer less enjoyable.

Contrast fun with an authentic experience

Maintaining a balance between providing a realistic experience and the enjoyment aspect is a significant issue. It's easy to ride the hype train as virtual try-ons get more and more popular and make news headlines. Fast and early version releases are fantastic for marketing, but it can be difficult to keep customers engaged and on board.

Customer confidence

The final hurdle to clear is getting customers to trust and use virtual try-on applications despite their psychological resistance. This necessitates being extremely transparent about what happens to user data, such as photographs and videos, and how it is handled.

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