The gaming industry continues to grow and evolve with time, adopting new technologies and trends. Adoption of artificial intelligence and machine learning has helped facilitate an improved user experience, thus making the whole experience interactive and more fun.

Artificial intelligence and machine learning have been increasingly incorporated into various industries, including the mobile gaming industry. Mobile slot games use this technology to make the casino style games played on smartphones and tablets more interactive. In this article, let’s see the ways in which AI and machine learning are utilised in mobile slot games.

Table of Contents

Generating players insights:

Standard uses for AI and machine learning focus on generating customer insights, improving customer experiences, optimising operations, and making predictions. When it comes to mobile slot games, AI can be used to analyse player data, such as their playing habits, preferences, and gaming durations, to generate customer insights.

Developers later use this collected information to create targeted promotional offers, rewards, and personalised notifications to encourage players to continue gaming and create a personalised interactive experience. Online casinos are implementing AI and machine learning features in video slot games, online roulette, and other games to enhance users’ gaming experiences.

To forecast the win:

Adopting AI technology helps casino operators providing online mobile slots curb fraudulent players and increases the chance of improving the existing customer experience and delivering loyalty programmes. A ML model would be able to determine what offers are most likely to increase customer retention, when to make those offers, and how to accurately target desired customers.

AI can be used to analyse and predict outcomes in online mobile slot games. Using machine learning algorithms, predictive models can predict patterns in the collected data, with outcomes such as the ability to predict online player turnover rates and the ability to develop winning game-playing strategies.

To assist Customer support:

To keep customers committed to a brand, it requires a functional and effective customer support system. This can be achieved with assistance from AI and machine learning.

Instead of depending solely on customer support teams, using chatbots built with natural language processing (NLP) would help improve the customer experience. With exposure to real-time user data, this AI will be able to deliver a properly personalised experience.

To control problem gambling:

There are several rules and regulations set to avoid harm to the players, but there are times when even these restrictions fail to accomplish this. Online mobile casinos and gambling companies take help from AI and ML tools to keep a check on problem gambling.

AI would help identify unhealthy gambling patterns to prevent cases of underage gambling and addiction in people of all ages. They can monitor player behaviour and compare it with the known behaviours of gambling addicts. If both data share significant similarities, a casino operator may advise the player to go slow on a game, take a break, or limit the playing sessions to a few hours.