The most important trends in e-commerce in 2022

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What are the main trends in e-commerce in 2022? How have recent changes in global markets influenced the e-commerce industry? More and more sellers are deciding to expand their business activities to online sales. There are more and more technical possibilities and improvements available to companies that want to sell online. It is worth finding out more about the e-commerce trends that will be observed in the coming months and years.

E-commerce trends in 2022 – index:
AR and VR
Voice Search
Personalization
Green consumerism
AI and Machine Learning
Original and creative packaging
E-grocery
Forms of sale
Deferred payments
Delivery methods
The most important trends in e-commerce – summary
AR and VR
AR (Augmented Reality) is a technology that allows the real world to connect with the virtual world through the use of a computer or smartphone. PokemonGo is an example of an application that used Augmented belarus whatsapp number database technology. The game, popular between 2016 and 2019, became a widespread phenomenon among smartphone game lovers.

VR (Virtual Reality) as compared to AR (Augmented Reality) requires special glasses that allow access to the virtual world created in a 3D space. With the use of this technology, the user can enter the virtual world. Virtual Reality technology is applied to provide virtual tours of homes that are for sale.

Augmented Reality and Virtual Reality bridge the gap between a real object and a virtual version of the same object seen on the Internet. Visualization allows customers to get used to the offer and make informed decisions regarding their purchases. The main problem with VR technology is the high cost of the necessary equipment – ​​VR glasses are still very expensive. Another drawback is the weight of the glasses set. Augmented Reality has the advantage over Virtual Reality – it does not require the use of additional and expensive tools.

Voice Search
According to a report by Jupiter Research , the value of voice transactions supported by virtual voice assistants will grow to $19.4 billion by 2023.

The popularity of smart speakers, which are used in homes around the world, will influence this figure. Voice search allows users to save time that they would normally spend browsing websites. The technology has a huge impact on e-commerce because companies need to take appropriate steps to adapt their businesses to this solution. Voice search is used differently than web browsers, with people tending to ask longer questions and use more complicated keywords when speaking than in typical web searches.

Personalization
Assortment personalization has a potentially huge significance for e-commerce, because people are very willing to pay more for the product that is tailored to their needs. The trend is visible in fashion, where customers can participate in the design of their dream shoes (among others Nike). Assortment personalization can be applied to the entire shopping process. Customers want to find products as quickly as possible, and to enable this, many companies study customer behavior – product advertising is based on information about previous choices made by the customer – products that may be needed by a specific customer are offered first.

e-commerce trends in 2022
Green consumerism
Environmental awareness among customers is increasing, and the same is expected of companies. More and more customers are paying attention to a company’s approach to environmental issues. Brands that offer products that have not been tested on animals or those that use recyclable materials are chosen more often. Customers are willing to pay more and wait longer for delivery, as long as they are sure that it will help the environment.

AI and Machine Learning
AI and machine learning are becoming increasingly popular among e-commerce trends. These technologies can be used for the previously mentioned personalization of website content. Content personalization is similar to recommendation technology that works based on algorithms that collect data about the customer and, after analyzing it, recommend certain products to the customer. In addition, machine learning is used during the dynamic evaluation of goods. In this case, the technology allows offering discounts that are displayed in real time, which directly influences sales.