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GROWTH

September 25, 2024

4 MINS

The future of generative behavioral AI: Our next blog series

CONTENT

Gonca Gulser

Co-founder

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Generative behavioral AI represents a significant breakthrough in artificial intelligence. Unlike traditional AI systems that rely on historical data, generative behavioral AI can predict, generate, and respond in real-time to human behavior.

This advancement promises to revolutionize industries across the board, from e-commerce and gaming to streaming services to healthcare, travel, and beyond.

By enabling organizations to anticipate and meet customer needs more accurately, this technology is set to deliver hyper-personalized experiences that drive deeper engagement, customer satisfaction, and profitability.

For example, at Quin AI, we already utilize this technology to transform how enterprises engage their customers. We analyze how website and app visitors interact with your brand online to predict their behaviors and intentions in under 17 milliseconds.

Armed with this information, we offer a level of personalization and real-time responsiveness that’s previously been unimaginable.

With that said, let's take a closer look...

Generative behavioral AI in action

We've hinted at what generative behavioral AI is in the introduction, so let's take a closer look at a few real-life instances where this technology has produced tangible results:

First up is Marks & Spencer (M&S). Quin AI helped M&S optimize its online sales by identifying a specific audience and offering personalized cross-sell suggestions. This resulted in a 24% increase in sales.

Similarly, Quin AI's system enabled Kiko Milano to double its daily membership sign-ups by strategically highlighting membership benefits at the optimum time based on individual customer behavior.

This type of hyper-personalization is transforming how businesses operate, and its applications are wide-ranging, which leads us nicely to our next point...

Introducing ‘The future of generative behavioral AI’ blog series

Given generative behavioral AI's colossal impact across such a diverse array of sectors, we wanted to delve deep into its applications.

So, we're excited to announce the launch of our new blog series, The future of generative behavioral AI.

Here, we'll explore how this technology is set to redefine the following industries, with more to come:

Gaming
Streaming
Health
Travel
Gambling

Each month, we'll dive into one of the above sectors, analyzing specific use cases, real-world examples, and future trends, offering industry leaders a roadmap for leveraging generative behavioral AI.

How generative behavioral AI will impact the above industries:

Gaming

‍In this first blog post of our series, we dive into how generative behavioral AI is transforming the gaming industry. By dynamically adapting games based on player interactions, this technology will be able to create more personalized and engaging experiences. For example, if a player is struggling with a specific challenge, the AI can offer tailored tips to help them improve. Additionally, AI can identify the optimal moments to suggest microtransactions, enhancing both player satisfaction and in-game revenue.

Streaming services

‍Where streaming is concerned, generative behavioral AI is redefining content recommendations and engagement. Someday in the future, we believe this technology will be able to enhance the user experience provided by platforms like Netflix or Spotify by analyzing real-time behavioral cues to suggest more relevant content. Unlike traditional AI, which bases recommendations on past data, Quin AI adjusts suggestions during a single session to reflect current user preferences. Not only will this enhance user satisfaction, but it will also drive higher engagement, increasing the chances of subscription renewals and reducing churn.

Health

‍In healthcare, the potential for generative behavioral AI is enormous. From predicting patient needs to managing mental health conditions, AI can provide real-time insights into patient behavior and emotional states. For instance, it could analyze a patient's behavioral patterns and predict mood swings or potential health crises, allowing healthcare providers to intervene earlier. Moreover, AI-driven diagnostics could suggest personalized treatment options based on real-time analysis, transforming patient care into a more tailored, precise, and responsive process.

Travel

‍Generative behavioral AI is revolutionizing the travel experience by delivering real-time, hyper-personalized interactions at every stage. From booking flights to selecting hotel accommodations, this technology has the potential to analyze user behavior to provide custom recommendations. For example, AI can prompt personalized offers or reminders at the perfect moment by predicting when a user will likely abandon the booking process, driving higher conversion rates and enhancing overall customer satisfaction.

Gambling

‍The gambling industry is also ripe for AI transformation. Real-time behavioral analysis can improve both user retention and responsible gambling practices. For instance, generative behavioral AI can identify when a player is likely to continue betting or when they might need intervention to avoid problematic behavior. By offering personalized experiences while ensuring player well-being, these deep learning algorithms have the potential to help gambling operators drive both engagement and ethical responsibility.