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The growing impact of Artificial Intelligence in mobile apps

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2 minutes, 41 seconds read

Change is the need of time and advancement in technology is instrumental to drive innovation. Mediums of interaction with machine changes and calls for developers to be on edge to facilitate digital transformation. By the end of 2020, there’ll be over 6.1 billion smartphone users in the world, which will support almost every cutting-edge technology. In this article, we’ll discuss the growing impact of Artificial Intelligence on mobile apps.

Businesses around the world need a dynamic approach to ensure the best customer experience and AI is helping facilitate this strategy. Whether it is the health or manufacturing industry or logistic processes, Artificial intelligence is making operations and personalization a lot more convenient.

The impact of Artificial Intelligence in mobile apps

Extensive use of AI in mobile applications is becoming a new trend. Artificial intelligence is enabling mobile apps with precise, convertible, accessible, and customized options; thus, enhancing the functionalities and performance.

To avail the maximum benefit of AI in mobile technology, one needs a deeper understanding and right approach to improve mobile app user experience. The following are ways to leverage AI in mobile applications.

1. Accurate results

Artificial intelligence works on large data sets, considering every possibility and mapping. Industries like healthcare, which requires a high degree of precision, can harness AI to deliver accurate results. AI promises greater accuracy in medical diagnosis than traditional manual processes. Thus, while building mobile apps where accuracy is prime, AI can bring many positive solutions.

Also read: The Next Big Thing for Big Tech: AI as a Service 

2. Real-time forecasting

The integration of AI in mobile apps can help in real-time predictions. There can be multiple activities in a day, which are difficult to keep track of. By keeping track of the schedule, finding a correlation with external environments like traffic, weather, etc. a lot of time and energy can be preserved.

This attribute can be used in education applications to predict current affairs. Not only this, but AI can also help in correcting and formulating emails.

3. Customer experience

Most of the mobile apps are exclusively targeting customers and are designed according to the respective business modules. But, when it comes to customer behavior, every single individual is different from the other. AI can add the advantage of personalization in customer-facing mobile applications. Moreover, this is achievable at scale; i.e. the technology accommodates itself to individual user preferences.

More: AI in Mobile Development 

4. Personalized experiences

Search engines are becoming smarter and they’re incorporating AI and NLP to understand user intent and behavior on their platforms. Similarly, mobile apps can also leverage AI to understand their user and optimize search results based on their objectives. Users need not remember what they searched for a week ago because their app will do it for them. 

AI coupled with augmented reality is the next revolution in mobile apps. Users can get visual causes about the objects in a real-life situation. Apparel, cosmetics, and home decor industries are already deploying this technology to enhance customer experiences.

Final Words

The integration of AI in mobile apps is the need of the hour. The system will take time to evolve, but when it will, we’ll be dwelling into a whole new world of digital experiences. 

This article is contributed to Mantra Labs by Tayla Scurry. 

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NPS in Insurance Claims: What Insurance Leaders Are Doing Differently

Claims are the moment of truth. Are you turning them into moments of loyalty?

In insurance, your app interface might win you downloads. Your pricing might drive conversions.
But it’s the claims experience that decides whether a customer stays—or leaves for good.

According to a survey by NPS Prism, promoters are 2.3 times more likely to renew their insurance policies than passives or detractors—highlighting the strong link between customer advocacy and retention.

NPS in insurance industry is a strong predictor of customer retention. Many insurers are now prioritizing NPS to improve their claims experience.

So, what are today’s high-NPS insurers doing differently? Spoiler: it’s not just about faster payouts.

We’ve worked with claims teams that had best-in-class automation—but still had low NPS. Why? Because the process felt like a black box.
Customers didn’t know where their claim stood. They weren’t sure what to do next. And when money was at stake, silence created anxiety and dissatisfaction.

Great customer experience (CX) in claims isn’t just about speed—it’s about giving customers a sense of control through clear communication and clarity.

The Traditional Claims Journey

  • Forms → Uploads → Phone calls → Waiting
  • No real-time updates
  • No guidance after claim initiation
  • Paper documents and email ping-pong

The result? Frustrated customers and overwhelmed call centers.

The CX Gap: It’s Not Just Speed—It’s Transparency

Customers don’t always expect instant decisions. What they want:

  • To know what’s happening with their claim
  • To understand what’s expected of them
  • To feel heard and supported during the process

How NPS Leaders Are Winning Loyalty with CX-Driven Claims and High NPS

Image Source: NPS Prism

1. Real-Time Status Updates

Transparency to the customer via mobile app, email, or WhatsApp—keeping them in the loop with clear milestones. 

2. Proactive Nudges

Auto-reminders, such as “upload your medical bill” or “submit police report,” help close matters much faster and avoid back-and-forth.

3. AI-Powered Document Uploads

Single-click scans with OCR + AI pull data instantly—no typing, no errors.

4. In-the-Moment Feedback Loops

Simple post-resolution surveys collect sentiment and alert on issues in real time.

For e.g., Lemonade uses emotional AI to detect customer sentiment during the claims process, enabling empathetic responses that boost satisfaction and trust.

Smart Nudges from Real-Time Journey Tracking

For a leading insurance firm, we mapped the entire in-app user journey—from buying or renewing a policy to initiating a claim or checking discounts. This helped identify exactly where users dropped off. Based on real-time activity, we triggered personalized notifications and offers—driving better engagement and claim completion rates.

Tech Enablement

  • Claims Orchestration Layer: Incorporates legacy systems, third-party tools, and front-end apps for a unified experience.
  • AI & ML Models: For document validation, fraud detection, and claim routing, sentiment analysis is used. Businesses utilizing emotional AI report a 25% increase in customer satisfaction and a 30% decrease in complaints, resulting in more personalized and empathetic interactions.
  • Self-Service Portals: Customers can check their status, update documents, and track payouts—all without making a phone call.

Business Impact

What do insurers gain from investing in CX?

A faster claim is good. But a fair, clear, and human one wins loyalty.

And companies that consistently track and act on CX metrics are better positioned to retain customers and build long-term loyalty.

At Mantra Labs, we help insurers build end-to-end, tech-enabled claims journeys that delight customers and drive operational efficiency.
From intelligent document processing to AI-led nudges, we design for empathy at scale.

Want a faster and more transparent claims experience?

Let’s design it together.
Talk to our insurance transformation team today.

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