Try-On AI for Showcasing New Year Thrift Collections

Wiki Article

For me as an online thrift reseller (with over 300 pieces), New Years presents both a tremendous opportunity as well as a struggle. Many shoppers will be searching for items that are unique to wear for their New Year’s Eve/Day celebrations but are fearful of purchasing thrifted items online. Additionally, the same questions will arise repeatedly, such as “What will it look like on me and how will it fit?” Without being able to try on the garments they’re interested in purchasing, my conversion rate has levelled at 12-15%. Many customers are intrigued by my items, but there aren’t as many who are willing to go through with having them shipped to their home after making a purchase.

Thrifting is different from traditional retailing because every piece I have for sale is a singular item; therefore I don’t restock my items and do not carry complete size runs. This means that once my customers miss an opportunity to purchase an item they are interested in, they will probably never have the chance to buy that particular item again. Thus, there is an enormous sense of urgency surrounding the purchase of thrifted items, but at the same time, my customers’ level of confidence to proceed with making the purchase is quite low since they are unable to try it on.

I cannot sell items with flat lay or hanger-shot style photos. My customers cannot envision themselves wearing that vintage 80s blazer when they see the item photographed using flat lay or hanger-shot styles. They will want to know whether the cut is oversized or fitted, whether the colour is going to complement their skin tone, and whether the style is going to look good on their body type.

Hiring models for every item isn't feasible. Thrift seller budgets are limited. With 300+ items and inventory changing every week, model costs would eat up all profit margins. Not to mention coordinating shoots, the time required isn't proportional to the value per item sold.

Thrift return rates are also problematic. Unlike fast fashion, thrift items are often fragile or have unique characteristics. High return rates risk item damage. Plus, vintage items are hard to resell after returns because of the stigma "someone else already bought this."

VISBOOM Try-On: Solution for Thrift Sellers

Visboom with it's "try-on" feature revolutionises my New Year thrift collection presentation. Visboom is an AI-powered photo editing software allowing customers to "try on" vintage items virtually before purchasing.

The method behind Visboom is simple yet very powerful. Customers must upload their photo just once, in a neutral pose, good lighting and a full body shot. This photo will be saved to the customer's profile. When browsing my New Year thrift collection, which includes vintage sequinned dresses, a 90s-style velvet blazer, and retro silk slip-dresses, all of which can be "tried-on" and fitted on-line by clicking to try on. Visboom's AI technology then instantly creates a projection of the selected item onto the uploaded customer's personal photograph.

The end result is very impressive with respect to how realistic it appears. The projections do not appear as being an artificial template or just a simple overlay. The way that AI captures vintage fabric drapes is different from that of modern day fabrics. The actual fit for a 70s sequinned dress will also appear to have the appropriate fit for the customer. An oversized 80s blazer will appear with an accurate proportion size. The colour rendering of the item will create a very real-time observation of whether a burgundy velvet will work well with a customer's skin tone.

This feature will greatly enhance customers' ability to accurately preview and compare New Year collections, including vintage party dresses, retro tuxedo jackets, classic evening gowns, and other high quality items possessing a great deal of uniqueness and character, before committing to the purchase. Customers may create their own personal visual with a screenshot and obtain feedback from their friends' on potential purchases that they would like to have for an upcoming event that they are attending.

Measurable Business Impact

The conversion rate rose dramatically from 12-15% to 34%. Customers who used the virtual try-on were much more confident when checking out because they were no longer taking risks; they had already seen a realistic representation of what they were going to buy.

The return rate decreased from 28% to 8% due to the majority of past returns being caused by Size and Style issues not meeting expectations. The virtual try-on solved these issues by eliminating those negative surprises; customers now know exactly what they're purchasing.

The average order value increased by 45%. Confident customers are willing to experiment with multiple items. Typically, they try on 5-6 items and purchase 2-3 of them in one transaction because they already know everything will fit.

The inventory turnover rate improved significantly; previously slow-moving vintage merchandise now typically sells out within 48-72 hours due to consumer confidence. My New Years collection of 30 curated vintage party pieces sold out in five days, the fastest sale I've had in my first two years of business.

Customer satisfaction can be seen from the reviews. "Exactly what I saw in the try-on!" is now the most repeated type of comment. Previously, it took multiple repeat purchases for the customer to build trust, now, they build it from the first transaction.

The Future of Thrift is Digital

Visboom try-on proves that thrift can compete with fast fashion in convenience without losing its unique value proposition. Sustainability remains the core message, but now enhanced with a modern shopping experience. New Year thrift collections are no longer second-hand goods with uncertainty stigma, they're treasure hunts with confidence guarantees.