Answear.com is one of the fashion e-commerce leaders in CEE with over 400 brands, operating in 10 European markets, achieving PLN 683M revenue in 2021 ($164M).

The challenge: Answear.com outfit inspiration on e-commerce

The challenge Answear team faced was to streamline users’ discovery among over 100.000 products available on e-commerce. 

The company was looking for an opportunity to create a space that will provide inspiration and enhance user interaction with the platform.


Answear’s goal was to increase user engagement in the shopping experience, resulting in increased average order value (AOV) and increased conversion rate (CR). Understanding of the context and common goals led us to the implementation of the getdressed AI styling system on Answear product pages.

The product: Artificial Intelligence for outfit creation

The plan was to implement a system of outfit inspirations on the website. Answear.com already tried the manual creation of dedicated outfits and adding them to the website, however, this approach was not optimal.

Our AI styling technology was creating up to 5 outfits for each product. The outfits were in different styles, prepared for different customer personas, and consisted of 4 products including the main browsed one.


Check out outfits generated by getdressed for Answear.com in real-time. Mobile-version, womenswear: 

he solution: Dynamically created outfit recommendation


Thanks to the getdressed system we were able to offer dynamically created unique recommendations for more than 840.000 sessions for customers visiting the store. This enabled users to move from navigating products in a given eCommerce store to navigating styles and selecting the most inspiring ones.

During the test period, Answear.com noted the rise of the average order value (AOV) by over 5% and the conversion rate by 2%


By using the getdressed solution, we changed the static structure of the product page into a place where users can get inspiration and better understand if certain products fit their style. This allows for more interaction and improves the shopping experience for each user.


Check out outfits generated by getdressed for Answear.com in real-time. Web-version, menswear & womenswear: 

Results after implementation of getdressed AI styling technology:

average shopping cart value (AOV) increased by more than 5%

4 MLN of outfits generated for 840K users sessions

increased user engagement in the purchase process by giving them an additional inspirational element for interaction

facilitated the discovery of products from the so-called long tail for each user by increasing the variety of products viewed by them

Brands cross-presented in outfits, brands available on Answear.com:

Simultaneously to the test performed on the Hungarian market, the getdressed solution was also implemented on the Slovakian market. In the Slovakian market, we did not see the expected increases, so the getdressed team together with the Answear team had a discussion on what this might be due to and what market-specific consumer behavior might have influenced this. Therefore the PoC stage will be repeated for 3 months, new UX solutions proposed by the Answear.com team, using getdressed technology will be applied.

Next steps: Discovery of new spaces to introduce AI styling technology to users

By inspiring, we allowed for deeper interaction between the user and the store. The collaboration with Answear.com will be continued, as the company decided to search for more spaces on e-commerce, where our technology can bring value to the users.

We conducted the test simultaneously on the Hungarian and Slovakian markets. In our subjective evaluation, the presented recommendations were valid and mostly in line with the style of the presented product. The results obtained in the Hungarian market show the potential of the solution. On the Slovak market, we did not obtain similar increases during the test. The relatively short testing period might have been influenced by other factors, so we will want to repeat the test while introducing some changes in the way we present the recommended products.

We see great potential in this type of solution for our users.


From a technical point of view, the preparation and operation of the test went flawlessly. During the test, the product selection mechanism was stable, reliable and we did not observe any performance problems. We believe that further optimization would bring even better results.

Answear.com x getdressed: 4 MLN outfits in 1 month

Vibe RP is one of the top GTA V unofficial metaverses in Poland with over 500 players being live in real-time. V-RP co-founders are passionate authors of the most sophisticated immersive technology for Grand Theft Auto alternative servers that enhance the base experience of the game. Thanks to that, every interaction with items in-game is truly engaging and unique!

The challenge: Immersive digital fashion experience in the metaverse

The challenge V-RP metaverse faced was to introduce the possibility of expressing users' virtual identity with digital fashion in an engaging way, even without founders’ previous experience in the fashion industry. The company was looking for a partner that will bring fashion inspiration, personalization, and expression to the game as a new immersive experience.

V-RP’s goal was to enable players to purchase a limited amount of products to enrich the personal expressions of characters in the game.

Important disclaimer: the products offered to players had to be aligned with the vibe of the virtualized world of San Andreas (imitation of San Francisco). Immersion is everything for the community.


Proof of Concept: collaboration with fashion brand & getdressed AI

 server, we are implementing the digital outfits matching technology to the gaming metaverse as the first company ever.

Expect more information about brands and collaboration, and results soon.

The team: who is working on bringing outfitting technology to metaverse?

Przemysław Postrach, co-founder @ Vibe RP.

Jakub Szydłowski, Growth Product Manager @ getdressed

GTA V (Vibe RP) x getdressed: matching outfits in the metaverse

 uses artificial intelligence (AI) to suggest the best fashion outfits to your customers composed from products available in your e-commerce. All you need to do is submit your e-commerce product database (product feed) to us and our AI algorithms will learn the style of your brand. As a result, our AI will be able to generate outfits composed of the products available on your ecommerce store. All this to make the decision to buy more clothes and accessories easier for your customers.

"Using the product the customer is currently viewing and the range of products available on ecommerce, the plug-in can create full fashion outfits. Products are matched based on colours, shapes and patterns. This help the consumer to discover other available clothes that are stylistically matched to the product they have chosen" - explains Jakub Szydłowski from getdressed.

means offering products (or services) that are likely to be bought by a customer because they match the product (or service) that the customer is looking for.

 complicated technology processes to understand how it works!

"We have been developing styling technology for over 2.5 years, working with many designers and personal stylists. This time gave us a unique opportunity to implement a tool that knows how human fashion taste works. To put it simply -- we put the knowledge and sense of aesthetics of personal stylists in the technology to help fashion e-commerce brands succeed" - comments Agnieszka Pałka from getdressed.

, connected to the e-commerce website. This makes the implementation process quick and straightforward.

1.	you will offer the right product to the right consumer.

2.	you will increase the average order value.

3.	increase customer engagement on your website.

produkty komplementarne – sprzedawaj w pakiecie

there is no doubt that a user-centric approach, so putting the consumers in the focus and responding to their needs, is the most desirable marketing strategy today. The

 lets you offer customers personalised styling experience and tailor-made outfits. This makes the user feel important, but also increases consumer trust in the brand. Most e-commerce shops only offer solutions like "see similar" or "others bought it too".

artificial intelligence and fashion, or how does the getdressed plug-in work?

 is a strategy based on offering products and services in addition to the primary selected product that could be bought together.

 the main focus is on selling products or services that are complementary to the primary chosen product. It helps customers to make a decision about an additional purchase giving them satisfaction at the same time.

Strategy works best when we know the customer’s preferences. It can be done after analysis of their previous purchases or by qualifying them into specific groups of customers defined before.

 is the average amount which a customer leaves after a specific transaction on your e-commerce. Usually though in online sales the most popular metric is a conversion rate but the AOV it's no less important and it’s good to keep it optimized.

 otherwise known as average amount of conversions by one interaction with a shop expressed as percentages. In e-commerce,  usually it’s a number of sales transactions divided by the amount of sessions. Most of companies take care about increasing their conversion and therefore an increasing number of transactions

Strategy model allowing for real growth includes not only increasing a conversion rate, but the increasing average order value too and up-selling or cross-selling just lead to this.

To właśnie cross-selling umożliwia bezpośredni wpływ na średnią wartość koszyka.

 of cross-selling everywhere, in every industry. From electronics (like set builds of a laptop, case and mouse), to the garden industry (for ex. combination of seeds, land, flowerpot and fertilizer).

Fashion seems to be the main industry for cross-selling. Clothes are products which we use everyday in large amounts. This is where their mutual fit is important to us. Based on that, what most stores can offer are simple combinations of products based on categories (ex. dress + handbag + shoes).

The problem, however, is that while electronics don't necessarily give each other a sense of visual consistency, no one is going to wear a dress with extremely mismatched shoes. Hiring a specialist to create outfits for each product on a regular basis and then implementing them in production sounds like a horror story. So how can you approach increasing the AOV without involving human and financial resources to such an extent? It's worth hiring technology to do it.

 is now well established in e-commerce. Although its use in the fashion industry in Poland is still negligible. But foreign brands have been using it for a long time. Brands such as Zalando, create their own 

 to develop Artificial Intelligence solutions to help it increase sales.

 can use artificial intelligence on your e-commerce? There are a lot of innovative companies on the market which are quickly developing the plug-ins for this job. It definitely can be done with the latest technology.

Cross-selling z użyciem Sztucznej Inteligencji | getdressed

 stylist is a solution which you can easily implement into your e-commerce using Google Tag Manager. All you need to do is to send us your product feed. Then our Artificial Intelligence algorithms will start the process of learning your brand style. At the end of the process, they will be able to easily generate full outfits consisting of products from your e-commerce site.

Want to see how our AI will work on your e-commerce? Contact us and 

learn moreabout the business of fashion

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about the business of fashion