How can NFT change the world of luxury brands?

Maciej Zieliński

02 Sep 2022
How can NFT change the world of luxury brands?

Luxury brands and NFT are a great combination that is growing in popularity. Interestingly - fashion designs and companies are implementing NFT faster and more enthusiastically than in other industries. There seems to be a consensus that Web3 will undoubtedly play a huge role in their future. Both fashion and NFT operate on a model of exclusivity and rarity, which may explain how receptive this field is to the technology. At the same time, other "classic" companies are reluctant to engage with Web3 and its derivatives.

Fashion digitizes projects 

Nearly 2.5 billion people have already participated in one way or another in the virtual variety of the broader economy, which is the direction of the world's evolution. There is no doubt that brands need to find their way in the online parallel world, just as they do in the real world. With the advent of digital transformation, luxury has slowly entered this change. Unlike mass companies that have quickly adapted to e-commerce and social media, there are many reasons why many luxury brands are still lagging. Perhaps the biggest challenge facing luxury fashion brands today is how best to recreate the luxury experience in a non-physical form.

What opportunities do the Metaverse and NFT present for luxury brands?

The merging of the physical and digital worlds through the Metaverse platform is quickly becoming an important opportunity for luxury brands. To meet the expectations of luxury goods consumers, brands with such characteristics need to ensure the highest quality of their online experience - for example, personalizing or customizing it through interactive chat or technical support. In addition, luxury goods consumers are accustomed to acquiring tangible goods through shopping. The advent of coins has broken the long-established model of single ownership of exclusive items while ensuring the rarity of virtual things. NFTs prove ownership of assets to their owners and register them in open-source blockchain technology. In this way, the tokens represent a new system for tracking ownership while preserving the notion of exclusivity that the luxury industry has historically used. The entry of exclusive brands into the NFT market is part of their digital strategy, with the introduction of NFT creations expanding their virtual presence and boosting digital creativity.

NFT

Brands have gradually entered the Metaverse to showcase their virtual representatives and NFT products. Prada announced that it had partnered with Adidas Originals to launch a "first of its kind" NFT project. Balmain has partnered with Barbie to offer three unique avatars of the famous doll, with NFT deals in their case costing around $2,000. But while most brands have largely abandoned digital characters or virtual fashion elements, Louis Vuitton has entered the virtual world more engagingly - as it created its own video game.

Examples of luxury brands implementing NFT

Luxury brands are aware of the market, as their advisors have followed consumer interests for years. So it's no surprise that global giants are getting into NFT. Below are companies that have expressed broad interest in blockchain technology and have implemented, implemented, or plan to implement NFT! 

Gucci uses NFT 

Gucci is no stranger to the concept of NFT. The brand first entered the digital market in May 2021, when it released a token film inspired by the Aria series as part of Christie's prestigious Proof of Sovereign sale, headlined by Lady PheOnix. The film was co-directed by Gucci creative director Alessandro Michele and award-winning photographer Floria Sigismondi. The extraordinary piece showcases Michele's Aria collection. Gucci's next NFT project occurred on January 18, 2022, when the company partnered with vinyl toy manufacturer Superplastic to sell 10,000 NFTs called SUPERGUCCI. It's a three-part limited series of digital NFT characters co-created by Michele and Janky & Guggimon of Superplastic - digital characters whose adventures were described initially in CryptoJankyz from Superplastic at Christie's. The NFTs in the collection allows owners to unlock handcrafted white ceramic sculptures 20 cm tall to accompany their digital counterparts. Gucci then launched the 10KTF: Gucci Grail Mint Pass collection in March 2022. The project is a collaboration between digital creator Wagmi-san and Michele to create custom PFP digital apparel based on 11 of the NFT community's most famous designs. Only those who own a PFP from one series will receive a designed mint pass that can be used to purchase a personalized NFT. Moreover, Gucci recently announced a partnership with SuperRare for Vault Art Space. After purchasing $25,000 in RARE tokens to join the SuperRare DAO, Gucci plans to use the Vault Art Space to host exhibitions of NFT artists. 

Yvel - digitizing jewelry  

On June 13, 2022, jewelry company Yvel introduced INFS (independent non-transferable securities) for trading between consumers and businesses. To do so, the company has taken a slightly different approach to the NFT space, creating digital securities that act as non-functional financial products. These NFT-like tokens are physically backed by 24,000 gold coins worth $10,000, decorated with diamonds and other precious stones. The idea is that security backed by physical assets will give digital assets stability, even when the market fluctuates. During the launch of the pre-sale platform in early June, 2,500 coins were issued to accredited investors. These coins will serve as a model for how INFS will operate in the future, driving financial products on the platform. Notably, the tangible guarantees of stablecoins are configurable. This means that investors or companies using the INFS Yvel platform can customize the guarantees according to the market and trends that are currently taking place. Therefore, instead of supporting their non-transferable securities with gold coins, they can support their non-transferable deposits with real experience, products, and profit sharing. The idea is relatively fresh and is slowly gaining more and more supporters.

Clubhouse Archives, Inc - NFT range for a select few 

Club Archives Inc, a blockchain-based NFT luxury apparel brand, recently announced the launch of its marketplace to allow users to purchase a select assortment of luxury apparel. Starting July 13, 2022. Genesis Mint is shortlisting 1,880 digital tokens that will serve as lifetime memberships. Pass holders are gifted with certain amenities, including administrative capabilities, access to exclusive events, and a perpetual share of sales and royalties. By linking NFT to physical goods, every luxury collection launched on the Clubhouse Archives platform will feature 3D clothing made in Italy. The collections that will appear on the platform will be created by designers and voted on by the community, allowing them to play an active role in the development of the brand. The Clubhouse Archies team includes designer and artist James Costa, NFT creator Greg Mike, former Golf Digest fashion director Marty Hackel and more. The platform's first collection will focus on golf sportswear, which is "infused with countercultural luxury streetwear." The forum will use Crossmint as its official trust wallet and payment platform.

Balmain leverages NFT for consumer relations.

French fashion house Balmain recently announced its entry into the NFT game with the announcement of Non-Fungible Thread, an NFT-based fashion ecosystem for those who own Balmain clothing. Collection tools are still under development. Some candidates include digital apparel converted to physical and shipped to their door. Consumers get exclusive collector invitations to future Airdrops and cocktail parties with digital fashion designers. One of the driving forces behind Non-Fungible Thread (still in development) is James Sun, founder and CEO of MINTNFT, an organization dedicated to building Balmain's Web3 vision. Sun believes that for Balmain to distribute NFT on OpenSea or Rarible is a poor way to create a unified community around NFT. The luxury brand seems more focused on building long-lasting relationships with its customer base and creating interactive and engaging experiences for the community, whether digital, physical or a combination of the two. As for the project and how Balmain will implement it, there is much more to come.

Prada - joining forces with Adidas and NFT 

Prada has already made some attempts in the NFT field this year. In January 2022, the company partnered with Adidas Originals on a token project involving 3,000 community-created artworks. These pieces were used to create a unique 1-of-1 NFT by artist Zach Lieberman, which included more than 3,000 images and was sold for 30 ETH. On June 2, 2022, Prada went a step further and released 100 NFTs to coincide with the launch of its latest Timecapsule clothing line, which consists of 100 unisex button-up shirts designed by artist Cassius Hirst. Customers who purchase the collection will automatically receive a free Airdrop NFT, which includes the token serial number and the number of the physical T-shirt it comes with. Details on the availability of the coins are sparse, but the brand's Discord will be revealed to Prada Crypted members in time. The company also mentioned exclusive offers, experiences, and access to future issues.

Summary 

Luxury brands are immersing themselves more and more in the NFT space. They have generally done a great job using technology to interact with their celebrity watchers creatively. While other non-Web3 industries may be less adept at implementing and utilizing blockchain-based technologies, they should still closely examine how the brands we mentioned in this article can fit in and consequently flourish. By the end of 2025, about 40% of consumers will own digitized luxury goods. Hopefully, this direction of NFT is the future of many exciting projects. 

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AI in Real Estate: How Does It Support the Housing Market?

Miłosz Mach

18 Mar 2025
AI in Real Estate: How Does It Support the Housing Market?

The digital transformation is reshaping numerous sectors of the economy, and real estate is no exception. By 2025, AI will no longer be a mere gadget but a powerful tool that facilitates customer interactions, streamlines decision-making processes, and optimizes sales operations. Simultaneously, blockchain technology ensures security, transparency, and scalability in transactions. With this article, we launch a series of publications exploring AI in business, focusing today on the application of artificial intelligence within the real estate industry.

AI vs. Tradition: Key Implementations of AI in Real Estate

Designing, selling, and managing properties—traditional methods are increasingly giving way to data-driven decision-making.

Breakthroughs in Customer Service

AI-powered chatbots and virtual assistants are revolutionizing how companies interact with their customers. These tools handle hundreds of inquiries simultaneously, personalize offers, and guide clients through the purchasing process. Implementing AI agents can lead to higher-quality leads for developers and automate responses to most standard customer queries. However, technical challenges in deploying such systems include:

  • Integration with existing real estate databases: Chatbots must have access to up-to-date listings, prices, and availability.
  • Personalization of communication: Systems must adapt their interactions to individual customer needs.
  • Management of industry-specific knowledge: Chatbots require specialized expertise about local real estate markets.

Advanced Data Analysis

Cognitive AI systems utilize deep learning to analyze complex relationships within the real estate market, such as macroeconomic trends, local zoning plans, and user behavior on social media platforms. Deploying such solutions necessitates:

  • Collecting high-quality historical data.
  • Building infrastructure for real-time data processing.
  • Developing appropriate machine learning models.
  • Continuously monitoring and updating models based on new data.

Intelligent Design

Generative artificial intelligence is revolutionizing architectural design. These advanced algorithms can produce dozens of building design variants that account for site constraints, legal requirements, energy efficiency considerations, and aesthetic preferences.

Optimizing Building Energy Efficiency

Smart building management systems (BMS) leverage AI to optimize energy consumption while maintaining resident comfort. Reinforcement learning algorithms analyze data from temperature, humidity, and air quality sensors to adjust heating, cooling, and ventilation parameters effectively.

Integration of AI with Blockchain in Real Estate

The convergence of AI with blockchain technology opens up new possibilities for the real estate sector. Blockchain is a distributed database where information is stored in immutable "blocks." It ensures transaction security and data transparency while AI analyzes these data points to derive actionable insights. In practice, this means that ownership histories, all transactions, and property modifications are recorded in an unalterable format, with AI aiding in interpreting these records and informing decision-making processes.

AI has the potential to bring significant value to the real estate sector—estimated between $110 billion and $180 billion by experts at McKinsey & Company.

Key development directions over the coming years include:

  • Autonomous negotiation systems: AI agents equipped with game theory strategies capable of conducting complex negotiations.
  • AI in urban planning: Algorithms designed to plan city development and optimize spatial allocation.
  • Property tokenization: Leveraging blockchain technology to divide properties into digital tokens that enable fractional investment opportunities.

Conclusion

For companies today, the question is no longer "if" but "how" to implement AI to maximize benefits and enhance competitiveness. A strategic approach begins with identifying specific business challenges followed by selecting appropriate technologies.

What values could AI potentially bring to your organization?
  • Reduction of operational costs through automation
  • Enhanced customer experience and shorter transaction times
  • Increased accuracy in forecasts and valuations, minimizing business risks
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Want to implement AI in your real estate business?

Nextrope specializes in implementing AI and blockchain solutions tailored to specific business needs. Our expertise allows us to:

  • Create intelligent chatbots that serve customers 24/7
  • Implement analytical systems for property valuation
  • Build secure blockchain solutions for real estate transactions
Schedule a free consultation

Or check out other articles from the "AI in Business" series

AI-Driven Frontend Automation: Elevating Developer Productivity to New Heights

Gracjan Prusik

11 Mar 2025
AI-Driven Frontend Automation: Elevating Developer Productivity to New Heights

AI Revolution in the Frontend Developer's Workshop

In today's world, programming without AI support means giving up a powerful tool that radically increases a developer's productivity and efficiency. For the modern developer, AI in frontend automation is not just a curiosity, but a key tool that enhances productivity. From automatically generating components, to refactoring, and testing – AI tools are fundamentally changing our daily work, allowing us to focus on the creative aspects of programming instead of the tedious task of writing repetitive code. In this article, I will show how these tools are most commonly used to work faster, smarter, and with greater satisfaction.

This post kicks off a series dedicated to the use of AI in frontend automation, where we will analyze and discuss specific tools, techniques, and practical use cases of AI that help developers in their everyday tasks.

AI in Frontend Automation – How It Helps with Code Refactoring

One of the most common uses of AI is improving code quality and finding errors. These tools can analyze code and suggest optimizations. As a result, we will be able to write code much faster and significantly reduce the risk of human error.

How AI Saves Us from Frustrating Bugs

Imagine this situation: you spend hours debugging an application, not understanding why data isn't being fetched. Everything seems correct, the syntax is fine, yet something isn't working. Often, the problem lies in small details that are hard to catch when reviewing the code.

Let’s take a look at an example:

function fetchData() {
    fetch("htts://jsonplaceholder.typicode.com/posts")
      .then((response) => response.json())
      .then((data) => console.log(data))
      .catch((error) => console.error(error));
}

At first glance, the code looks correct. However, upon running it, no data is retrieved. Why? There’s a typo in the URL – "htts" instead of "https." This is a classic example of an error that could cost a developer hours of frustrating debugging.

When we ask AI to refactor this code, not only will we receive a more readable version using newer patterns (async/await), but also – and most importantly – AI will automatically detect and fix the typo in the URL:

async function fetchPosts() {
    try {
      const response = await fetch(
        "https://jsonplaceholder.typicode.com/posts"
      );
      const data = await response.json();
      console.log(data);
    } catch (error) {
      console.error(error);
    }
}

How AI in Frontend Automation Speeds Up UI Creation

One of the most obvious applications of AI in frontend development is generating UI components. Tools like GitHub Copilot, ChatGPT, or Claude can generate component code based on a short description or an image provided to them.

With these tools, we can create complex user interfaces in just a few seconds. Generating a complete, functional UI component often takes less than a minute. Furthermore, the generated code is typically error-free, includes appropriate animations, and is fully responsive, adapting to different screen sizes. It is important to describe exactly what we expect.

Here’s a view generated by Claude after entering the request: “Based on the loaded data, display posts. The page should be responsive. The main colors are: #CCFF89, #151515, and #E4E4E4.”

Generated posts view

AI in Code Analysis and Understanding

AI can analyze existing code and help understand it, which is particularly useful in large, complex projects or code written by someone else.

Example: Generating a summary of a function's behavior

Let’s assume we have a function for processing user data, the workings of which we don’t understand at first glance. AI can analyze the code and generate a readable explanation:

function processUserData(users) {
  return users
    .filter(user => user.isActive) // Checks the `isActive` value for each user and keeps only the objects where `isActive` is true
    .map(user => ({ 
      id: user.id, // Retrieves the `id` value from each user object
      name: `${user.firstName} ${user.lastName}`, // Creates a new string by combining `firstName` and `lastName`
      email: user.email.toLowerCase(), // Converts the email address to lowercase
    }));
}

In this case, AI not only summarizes the code's functionality but also breaks down individual operations into easier-to-understand segments.

AI in Frontend Automation – Translations and Error Detection

Every frontend developer knows that programming isn’t just about creatively building interfaces—it also involves many repetitive, tedious tasks. One of these is implementing translations for multilingual applications (i18n). Adding translations for each key in JSON files and then verifying them can be time-consuming and error-prone.

However, AI can significantly speed up this process. Using ChatGPT, DeepSeek, or Claude allows for automatic generation of translations for the user interface, as well as detecting linguistic and stylistic errors.

Example:

We have a translation file in JSON format:

{
  "welcome_message": "Welcome to our application!",
  "logout_button": "Log out",
  "error_message": "Something went wrong. Please try again later."
}

AI can automatically generate its Polish version:

{
  "welcome_message": "Witaj w naszej aplikacji!",
  "logout_button": "Wyloguj się",
  "error_message": "Coś poszło nie tak. Spróbuj ponownie później."
}

Moreover, AI can detect spelling errors or inconsistencies in translations. For example, if one part of the application uses "Log out" and another says "Exit," AI can suggest unifying the terminology.

This type of automation not only saves time but also minimizes the risk of human errors. And this is just one example – AI also assists in generating documentation, writing tests, and optimizing performance, which we will discuss in upcoming articles.

Summary

Artificial intelligence is transforming the way frontend developers work daily. From generating components and refactoring code to detecting errors, automating testing, and documentation—AI significantly accelerates and streamlines the development process. Without these tools, we would lose a lot of valuable time, which we certainly want to avoid.

In the next parts of this series, we will cover topics such as:

Stay tuned to keep up with the latest insights!