The Metaverse combines several technologies, including virtual and augmented reality, 3D, blockchain, and AI. Within the Metaverse, users, through their 3D avatars, are able to interact with 3D objects. AI algorithms make it possible to cover several areas essential for creating this world—these range from speech processing, vision, and biomimetics to cognition. AI technologies can help create the foundations of the Metaverse.
But let us first note that any business must build a scalable, synchronous, open, and interoperable virtual platform, for which it needs to partner with a trusted metaverse application development company.
The platform must include a solid infrastructure and a user interface that gives free rein to discovery, creativity, and experience. AI intervenes at all levels to make a metaverse platform operational. This implies a perfect understanding of the activities, i.e., impacts, anomalies, etc. All of these capabilities AI can provide through the permutation and combination of Big Data, Machine learning, and AIOps. In simple terms, it is about automating the various processes to obtain relevant insight and ensure the robustness of the infrastructure.
Here are AI’s leading concrete use cases that can enhance virtual experiences in the metaverse.
1. 24/7 customer support with AI-powered chatbots and virtual assistants
Whether it’s about offering new products or services between a brand and its customers, whether you want to simplify a website and its journey and make it easily accessible to visitors, you have to understand how a specific type of bot will be adapted to its needs. A bot is a measurable added value to a visitor’s overall journey. It provides many advantages, such as, in particular, freeing up human time in a large majority of situations and allowing humans to focus on solving complex and value-added problems.
2. Predictive Personalization
Predictive Personalization is the effort and ability to predict user actions based on past behaviors. Today, artificial intelligence uses predictive Personalization to improve the customer experience by integrating it naturally into consumers’ daily lives. With this AI-powered Personalization, customers feel like every product or brand experience was designed for them.
Predictive Personalization will be beneficial for online shopping, where data collected on consumer behavior during online sessions is analyzed. These include time spent on sites, pages, products, purchases, forms filled out, searches conducted, etc. By observing and processing this data, companies can increasingly assess shoppers’ individual needs, offer them the correct items and deliver them to their homes. Thus, artificial intelligence procedures make interactions with customers more fluid and streamlined.
3. AI-powered analytics
The best digital customer experience is achieved when a company remembers a customer and treats them with care, respect, and consideration throughout their unique journey. Unfortunately, analyzing billions of individual customer journeys using traditional analytical methods and tools is a slow and laborious process, which tends to limit its use to a small set of predefined problems.
The power of AI-powered customer journey analytics is that it can sift through a much larger and more complex data space and thus uncover many more business opportunities – even opportunities whose you had not measured the importance. So you can prioritize this information instead of obsessing over the underlying data.
AI-powered customer journey analytics can predict the likelihood of future behaviors with high accuracy while simultaneously finding the drivers and inhibitions of customer performance.
4. Visual, voice, and text engagements
Visual engagement and voice and text sentiment analysis will help businesses gauge emotions and sentiments in different types of communications. AI-powered visual engagement technology analyzes facial expressions in face-to-face conversations and video chats. This enhanced processing will use voice biometrics, vocal cords’ nuances, and phone call modulations to understand emotions. Companies can use these AI-based algorithms to determine communication patterns and identify customer satisfaction. This allows them to deliver positive sentiments to increase customer lifetime value so that transactions are repeated, and profitability is increased.
5. Decision-making
The success of artificial intelligence is increasingly measured in concrete terms by return on investment, new market opportunities, needs met, etc. All these achievements are the result of a paradigm shift in terms of decision-making. The power of big data, artificial intelligence, and machine learning have paved the way for a form of decision-making measurement. Artificial intelligence allows companies to make informed decisions.
The automotive industry, for example, has developed several AI applications, from vehicle design to marketing and sales decision support. Artificial intelligence modeling and simulation provide insight into changing consumer behavior, which is crucial for making the best marketing decisions in the short and long term.
6. Customer Retention
AI technology can be leveraged to understand customer behavior better and gather insights into the causes of customer churn. For example, uninstall tracking can detect when an app was uninstalled to extract valuable insights into the reasons for churn. This not only contributes to the brand’s customer retention strategy but also helps design strategies that can help win back those customers (reacquisition).
AI systems also ensure that customers stay highly engaged through personalized experiences and targeted marketing messages. It also helps boost customer retention, as engaged customers remain with a business longer.
7. Sentiment analysis
Organizations can also use AI to perform sentiment analysis. Sentiment analysis involves determining the contextual meaning of texts to identify the underlying emotion expressed in them.
For example, customer requests with the words “disappointed” or “frustrated” will be labeled as urgent so that customer service agents can prioritize and deal with these requests quickly.
Sentiment analysis, therefore, facilitates rapid responses to urgent customer concerns, helping reduce customer service costs as issues are identified and addressed before they can escalate.
8. Targeted Marketing
Brands can leverage AI to analyze user behavior and interaction history. This allows them to make predictions about the customer’s next move to show them targeted marketing offers. This results in an increase in the click-through rate of these marketing offers and also increases purchases, as customers will more easily click on relevant offers based on their previous searches and purchases.
What you must remember
There are a plethora of ways that businesses can use artificial intelligence and machine learning as a way to improve customers’ virtual experiences in the Metaverse. Introducing AI into your various tools throughout the customer journey can bring concrete benefits to your customers and your employees. While the previously cited points are all about making the experience more immersive, AI can still do more to improve the Metaverse. Among other advantages, it offers possibilities for customization and adaptation to different situations. Thus, artificial intelligence can augment sensory experiences for those with more physical difficulties. Additionally, it can help adjust the learning path for new users.
Finally, in analyzing and exploiting the results, artificial intelligence offers you a degree of finesse and inaccessible operationality without this technology. Organizations that successfully leverage this technology typically enjoy many benefits, including improved customer retention, better bottom line, and competitive advantage. This is why metaverse development companies support their clients convergently and coherently.
