Crafting Dynamic App Conversations With AI

Crafting Dynamic App Conversations With AI- Social.jpg

Instagram's social media app has profoundly transformed since its inception in 2010. It started as the photo alternative to Facebook's endless status updates, adopted a "Stories" feature to compete with Snapchat's disappearing videos, and then rolled out "Reels" to compete with TikTok. 

But more users are interacting with the app solely through their DMs—direct messages—and the app will soon use generative artificial intelligence (AI) (with the help of large language models (LLMs) to create a dynamic experience even in these private chats.

Instagram's development team is working on a chatbot that would allow users to ask AI questions, not in a separate chat thread, but right from wherever they are. It could answer questions and even take on different personas. And while this capability isn't ready yet, it indicates how ubiquitous AI will be for app users. This is what makes a genuinely dynamic app chat experience.

The essence of dynamic app conversations

Dynamic app conversations aren't just about getting the chatbot to respond to user inputs on digital platforms. That's the starting point. Truly effective conversational AI with a human touch involves:

The benchmark for remarkable performance by AI when it comes to app conversations includes several key elements:

Quite a few industries are great use cases for new dynamic app conversations:

Any industry interacting directly with its users can benefit from a more personalized, context-aware, and efficient communication system by utilizing dynamic app conversations.

Generative AI: The heart of dynamic app conversations

AI transforms static app interactions into fluid dialogs, specifically natural language processing and machine learning.

Crafting tailored experiences

Customers expect companies to know them, understand their preferences, and remember their past activities. This isn't just a pleasant surprise for customers but a bare minimum requirement for interactions moving forward. 

AI can curate conversations by analyzing user data, helping them resonate personally, and delivering real value and an excellent user experience. For example, a news app might provide content recommendations similar to the Netflix recommendation engine as users engage with the app.

Bridging language barriers in real time

AI-driven language translation can make apps more accessible to a broader audience by making app content available in their preferred language. For example, a travel app could suggest local experiences based on your geographic location and previous activity in your chosen language.

And speaking of language, AI-powered chat features allow users to filter out unwanted language, such as curse words, in real time. This makes activities like live events in the app a safer, more welcoming place.

Anticipating user needs

Many industry examples above anticipate user needs to encourage greater engagement and provide support. For example, a banking app might predict a user's intent to explore loan options after they check mortgage rates and offer tailored recommendations for improving the chances of receiving a mortgage. 

In all these cases, humans are available for more important tasks, but AI allows users to serve themselves first, seamlessly and without friction.

Charting the horizon: What lies ahead for AI-powered app conversations

AI will only continue to advance customer experience capabilities within apps. Organizations may soon employ more sophisticated analytics to help predict customer responses across channels, anticipate needs, and assist in more complex decision-making. This turns chatbots from primarily reactive to proactive tools designed to remove friction from the customer experience. We may even see AI-driven voice technology bring new layers of interactivity. 

Additionally, adding augmented reality capabilities could provide users with even more immersive experiences, especially valuable in retail or travel sectors. 

Unraveling the future of dynamic conversation

Dynamic app conversations are the cornerstone of next-generation customer engagement. Users expect personalization and ease with each interaction, and companies can deliver those experiences reliably with a strategic AI-driven foundation. The line between human and app conversations will continue to blur as we advance, leading to an era where apps understand, predict, and converse seamlessly. A future where AI interactions are indistinguishable from human interactions is on the horizon.

With platforms like PubNub, developers have many tools to weave AI technology into their mobile app fabric, making each interaction more human-like and intuitive. PubNub's platform—which now includes OpenAI GPT API integration—allows companies to create cutting-edge, dynamic apps capable of incredible functionality and scale without months of development or costly iterations.

Sign up for a free trial to see how you can build your app with dynamic conversations.