Artificial intelligence (AI) has come a long way and is now incredibly advanced. Yet, the human intelligence that created AI remains unbeatable. Well, the big plan is to blend both AI and human touch while dealing with customers digitally.
AI-driven analytics allows support teams to proactively meet customer needs with personalized, frictionless interactions. With the power to analyze vast datasets in seconds, AI detects patterns and trends that human eyes might overlook. This means businesses can fine-tune their operations and make data-driven decisions with razor-sharp accuracy.
Staying abreast of industry trends helps enterprises get a grasp on factors influencing customer communication. In the past, ThinkOwl has helped businesses stay ahead of the curve with insightful blogs on the renaissance of customer experience, and tech-fueled transformation of customer service.
For 2025 and beyond, the trend focuses on artificial intelligence (AI) as a means to improve digital customer support. Before exploring the AI trends that will improve customer support and experiences, it's helpful to first mention key service trends for 2025 and beyond where AI will shine through.
Conversational AI revolutionizes customer service by automating interactions with AI-driven voicebots, providing 24/7 seamless support. Intelligent voicebots understand people’s intents, needs, and expectations, and independently respond with contextual answers.
AI-driven virtual assistants streamline customer interactions, making every exchange faster, more thoughtful, and more intuitive. Conversational voicebots use speech recognition and natural language processing (NLP) to understand and respond to customer queries via dialogue.
In a previous article, we explained how voicebots identify speech and language patterns using AI and machine learning (ML) to automatically recognize and respond to human speech. It also discusses how conversational voicebots help brands enhance customer support strategies. You can read the blog here. However, this blog will discuss practical use cases for AI voice bots, including the technology’s application areas for 10 industries.
What do enterprises want in 2025 and beyond? Happy employees, delighted customers, and business profitability. Achieving these objectives requires a collaborative effort from SaaS providers to understand the market and the requirements of end consumers. And what better way than tradeshows to better understand consumers’ sentiments?
Meeting customers where they are is no longer a luxury — it’s a business imperative. In today’s customer-centric landscape, an omnichannel strategy plays a critical role, enabling seamless interactions across every touchpoint. This connected experience is essential for building lasting loyalty and fueling business growth.
Technology has evolved and so have business strategies. More sophisticated AI bots are slowly replacing basic rule-based or decision-tree bots that function on pre-set rules. But what makes AI conversation bots so successful? Let us find out.
Conversation bots are proving to be incredibly useful for customer service. They understand customer intent, offer real-time responses, and adapt to different communication styles — all of which help support teams work more efficiently. By delivering personalized interactions, these AI bots make it easier for businesses to provide scalable customer service.
Social media has evolved into a dynamic arena where businesses and customers engage in a dialogue that is not just about likes and retweets but about resolving issues, building trust, and creating unforgettable brand experiences.
Fundamentally, social media has altered the landscape of customer service. And this transformation has empowered companies to provide service to their clientele like never before.
Another new feather on the cap! Instagram has been integrated into ThinkOwl, the AI-powered helpdesk software that facilitates multichannel digital communication.
If your Instagram business account is connected to the software, ThinkOwl can now create cases from various Instagram entities, such as Posts, Stories, Comments, and Direct Messages (DM).
From a customer service point of view, this integration is very crucial. Here is why!
