Metaverse is a virtual space with augmented virtual reality. Imagine people, cities, and countries that exist digitally. Metaverse combines the power of the simulation technologies we have been advancing over the last century and creates virtual worlds (almost like video games) that people can immerse themselves in.

Perpetio recommends taking care of your digital presence with all the benefits of metaverse, attracting technologically advanced customers.

Fashion retailers have already joined the metaverse. Some of them are creating stores where users can dress their avatars, buy products in a virtual store and have them delivered to their homes. Other companies have hosted Metaverse Fashion Week, where brands showcase their latest creations on a virtual catwalk.

Food retailers want to open Metaverse stores where customers fill carts, pay, and get real food delivered to their homes. If after shopping, the virtual world user wants to have lunch, he can order his favorite hamburger with fries, and it will also be delivered to the door. This is a win for both parties.

In addition to using existing e-commerce platforms, the metaverse allows you to walk around this virtual world, visit the stores, choose products, check ads and offers, and then order everything with delivery. Metaverse becomes another option in the world of omnichannel retailing.

“Customers will love that we’ve adopted metaverse”

Financial institutions and social media giants are among those joining retailers in the fight for their piece of the metaverse pie. But most importantly, will consumers want to use the metaverse? Remember that we will have to spend physical (not virtual) time, money, and energy to interact with it. Sure, you can imagine it as a video game where you build a community with virtual neighbors, but do we have enough cognitive capacity to live parallel lives? Are we no longer dealing with information overload?

In our opinion, the first step to unlocking the metaverse is the ability to use it for

  • decision-making
  • using it as a synthetic world to create machine learning (ML) data.

But this is just your start!

The product-market fit needs to be built gradually, otherwise, the argument of consumer adoption will become rather far-fetched, especially when industries start setting up shop in the virtual space and using digital currencies or non-tradable tokens to buy/sell digital assets.

Relevance of benefits of metaverse for your business

The pandemic years have shown us that we can work completely remotely on an unprecedented scale. However, Metaverse gives us a new quality of remote work because we are not physically together, but it is something we feel. It also allows us to better monitor performance because we can collect new data on the subject. We can create digital twins, that is, we can map objects of the physical world in detail in the virtual world in order to analyze data, optimize process management, perform remote maintenance and thus reduce costs.

Metaverse is not only for customers but also for employees

Firstly, and perhaps most importantly, employees want to work in modern companies. Especially young ones. They want to be able to boast that they work in an organization that uses new technologies. How to show potential employees that the employer is modern? Show a photo of people in glasses or a video about a quantum computer. No, you need to look at it and show in practice that we use such tools already at the recruitment stage. You can show him a 360-degree video from the workplace or give him the opportunity to work in the chosen position using a VR program. In this way, he will get to know the offered position much better and his decision will be more informed, and therefore he will not leave the company in a month when it turns out that the new job does not meet his expectations. In addition, this form of recruitment can be carried out anywhere in the world and remotely. Metaverse has no territorial or time restrictions.

When it comes to adaptation, the situation is similar. Immersive technologies are the best, i.e., the most effective method of training. Thus, they will not only contribute to the image of a modern company, but will actually speed up the learning process and, accordingly, shorten the adaptation phase of a new employee. We can start with the hiring stage. If we give a potential employee the opportunity to test himself in a virtual workplace, we will learn about his capabilities already at the stage of recruitment, it will be easier to assess how quickly he learns and whether he has the right skills for a particular job.

Why metaverse technologies with Perpetio?

Our team is giving people the first glimpses of what these benefits might be. For example, in the metaverse, we will be able to learn in 3D, bringing to life the study of architecture, history, or even basic geometry in ways that blackboards and flat screens cannot. There are also endless possibilities for training medical professionals – from practical operations in a virtual environment to training first responders without getting into dangerous situations.

While virtual reality is already having a real impact, much of what we envision for metaversions is still a decade away and requires collaboration between industries and experts, academics, civil society, governments, and regulators to get it right. We start these conversations early and help you initiate further conversations and collaborations between industries and experts around the world of any industry. Metaverse technologies are waiting for any business that wants to grow reputationally and financially.

Our recent case: benefits of a metaverse in retail

Most deep learning-based metaverse algorithms require masses of training data. You may know data about millions of driving kilometers for self-driving cars, or hundreds of combinations for objects in different viewpoints, e.g., fruits and vegetables in a store will look different when viewed from the left or right, at night or during the day.

More about algorithms:

Using computer graphics, CV algorithms can be ordered to analyze all possible display configurations of fruits and vegetables.

  • The turn to synthetic data is also seen in other fields, such as in the case of deep learning-based neural network algorithms that scientists and engineers are working on for video cameras.
  • RL algorithms sometimes face difficulties when, for example, the material they learn (texture, color), the direction of light, lighting conditions, and the location of objects change randomly.
  • Moving and exploring in the virtual world can help solve some of these problems.


In summary, consistent actions aimed at collecting experience from the virtual world will gradually reduce the discrepancies between the product and the market needs.

By Swati