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Millennials and Insurance Beyond Convenience

3 minutes, 33 seconds read

Millennials are often more comfortable browsing apps than talking face-to-face to an agent. Insurers have hence opted for digitization, introducing automated solutions like chatbots and self-service features on their apps. And it has been convenient for both- organizations and customers. 

However, now that almost everyone is offering this convenience, the question arises — what will distinguish your business from competitors and at the same time lure this generation? After all, millennials represent 27% (2 billion) of the global population. 

Convenience is a ‘must-have’, but what’s beyond?

Today, consumers have a plethora of choices- all of them being digital, convenient and affordable. Thus, carriers need to think beyond online, paperless, instant, simple, and hassle-free products and services. Here’s an outlook.

Price transparency

Insurance has always been the aftermath of a commodity or service. Convincing millennials to buy the same insurance wrapped in simplicity and convenience, also knowing their financial instability is certainly not going to work. According to Cake & Arrow’s research, 58% of millennials struggle for financial security. 

However, millennials do understand the value of insurance. 42% of them agree that insurance protects them and their families. Therefore, fair and transparent pricing can add value to the insurance sales propositions.

The transition towards pay-per-use/pay-per-second/pay-as-you-need models makes insurance more affordable and realistic. Root Insurance, Lemonade, and Trov are some of the insurance startups harnessing consumption-based pricing to the fullest.

Value Added Services

Millennials seek perks. To win their goodwill, Insurers need to add benefits beyond the conventional offerings. 

For instance, Brazil-based Kakau offers home, smartphone, and bicycle insurance. Apart from their regular coverage, it assists policyholders with pest control, cleaning, plumbing, and more by adding practical functionality to the traditional product.

McKinsey estimates the Value Added Services segment in the insurance market is worth $2 billion. The facility for risk assessment, instant claims settlement, self-insurance, and crisis advisory are the new VAS frontiers for Insurers to excel.

Instilling emotional and valuable experiences

There is a unique trait to millennials’ personality. They’re not drifted by plain messaging. They want companies to act on the values they preach and not just use it as a marketing strategy.

For instance, in India, IRDAI instructs insurers to make provisions for mental health in Mental Healthcare Act, 2017. However, a typical health insurance policy pays for in-patient hospitalization and mental illness rarely requires one.

While millennials understand the importance of insurance, they are not enthusiastic about buying it because what they want or need isn’t really covered. To break this barrier, this is a high-time to reinvent products based on actual user requirements.

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According to Bain & Company’s 30 elements of value- currently, most insurance companies are focusing on adding functionalities to their services like- simplification, time-saving, cost-cutting, intuitive UI, etc. 

The next transition will be difficult and will have a focus on emotional, life-changing, and impactful products & services. How fast an insurer can adapt to this trend will determine the winner.

Platform of offerings

Executives have started to think beyond sticking with what they’re good at and offering a range of services. This change of thought is the need of time. With tech giants offering commodity-specific insurance and millennials welcoming it, Insurers need to build a platform or get into one to sustain the drift. 80% of millennials are open to new entrants who deliver value over incumbents, according to a recent Bain & Company research. 

For instance, Alibaba, the $350 billion valued technology giant, offers a plethora of services to its 755 million active users. It has ventured into payments, cloud computing & AI technology solutions, apart from its core e-commerce and retail services. The company possesses a huge potential to disrupt the Chinese insurance sector, which currently has a penetration rate of merely 4.5%

webinar: AI for data-driven Insurers

Join our Webinar — AI for Data-driven Insurers: Challenges, Opportunities & the Way Forward hosted by our CEO, Parag Sharma as he addresses Insurance business leaders and decision-makers on April 14, 2020.

Millennials and Insurance: the takeaway

Digitization has indeed improved productivity and convenience. But, it has also made millennials feel strangled for real and worthy. They might be overwhelmed with the technology and the pace of life, but deep inside, there’s still a space for self-transcendence. Thus, the Insurers’ quest for winning this segment does not end at offering convenience through digital.

We’re one of the most innovative InsurTechs in the world recognised by Fintech Global with a hands-on approach towards improving customer experiences. Drop us a line at hello@mantralabsglobal.com to know more about our products and solutions.

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Smart Machines & Smarter Humans: AI in the Manufacturing Industry

We have all witnessed Industrial Revolutions reshape manufacturing, not just once, but multiple times throughout history. Yet perhaps “revolution” isn’t quite the right word. These were transitions, careful orchestrations of human adaptation, and technological advancement. From hand production to machine tools, from steam power to assembly lines, each transition proved something remarkable: as machines evolved, human capabilities expanded rather than diminished.

Take the First Industrial Revolution, where the shift from manual production to machinery didn’t replace craftsmen, it transformed them into skilled machine operators. The steam engine didn’t eliminate jobs; it created entirely new categories of work. When chemical manufacturing processes emerged, they didn’t displace workers; they birthed manufacturing job roles. With each advancement, the workforce didn’t shrink—it evolved, adapted, and ultimately thrived.

Today, we’re witnessing another manufacturing transformation on factory floors worldwide. But unlike the mechanical transformations of the past, this one is digital, driven by artificial intelligence(AI) working alongside human expertise. Just as our predecessors didn’t simply survive the mechanical revolution but mastered it, today’s workforce isn’t being replaced by AI in manufacturing,  they’re becoming AI conductors, orchestrating a symphony of smart machines, industrial IoT (IIoT), and intelligent automation that amplify human productivity in ways the steam engine’s inventors could never have imagined.

Let’s explore how this new breed of human-AI collaboration is reshaping manufacturing, making work not just smarter, but fundamentally more human. 

Tools and Techniques Enhancing Workforce Productivity

1. Augmented Reality: Bringing Instructions to Life

AI-powered augmented reality (AR) is revolutionizing assembly lines, equipment, and maintenance on factory floors. Imagine a technician troubleshooting complex machinery while wearing AR glasses that overlay real-time instructions. Microsoft HoloLens merges physical environments with AI-driven digital overlays, providing immersive step-by-step guidance. Meanwhile, PTC Vuforia’s AR solutions offer comprehensive real-time guidance and expert support by visualizing machine components and manufacturing processes. Ford’s AI-driven AR applications of HoloLens have cut design errors and improved assembly efficiency, making smart manufacturing more precise and faster.

2. Vision-Based Quality Control: Flawless Production Lines

Identifying minute defects on fast-moving production lines is nearly impossible for the human eye, but AI-driven computer vision systems are revolutionizing quality control in manufacturing. Landing AI customizes AI defect detection models to identify irregularities unique to a factory’s production environment, while Cognex’s high-speed image recognition solutions achieve up to 99.9% defect detection accuracy. With these AI-powered quality control tools, manufacturers have reduced inspection time by 70%, improving the overall product quality without halting production lines.

3. Digital Twins: Simulating the Factory in Real Time

Digital twins—virtual replicas of physical assets are transforming real-time monitoring and operational efficiency. Siemens MindSphere provides a cloud-based AI platform that connects factory equipment for real-time data analytics and actionable insights. GE Digital’s Predix enables predictive maintenance by simulating different scenarios to identify potential failures before they happen. By leveraging AI-driven digital twins, industries have reported a 20% reduction in downtime, with the global digital twin market projected to grow at a CAGR of 61.3% by 2028

4. Human-Machine Interfaces: Intuitive Control Panels

Traditional control panels are being replaced by intuitive AI-powered human-machine interfaces (HMIs) which simplify machine operations and predictive maintenance. Rockwell Automation’s FactoryTalk uses AI analytics to provide real-time performance analytics, allowing operators to anticipate machine malfunctions and optimize operations. Schneider Electric’s EcoStruxure incorporates predictive analytics to simplify maintenance schedules and improve decision-making.

5. Generative AI: Crafting Smarter Factory Layouts

Generative AI is transforming factory layout planning by turning it into a data-driven process. Autodesk Fusion 360 Generative Design evaluates thousands of layout configurations to determine the best possible arrangement based on production constraints. This allows manufacturers to visualize and select the most efficient setup, which has led to a 40% improvement in space utilization and a 25% reduction in material waste. By simulating layouts, manufacturers can boost productivity, efficiency and worker safety.

6. Wearable AI Devices: Hands-Free Assistance

Wearable AI devices are becoming essential tools for enhancing worker safety and efficiency on the factory floor. DAQRI smart helmets provide workers with real-time information and alerts, while RealWear HMT-1 offers voice-controlled access to data and maintenance instructions. These AI-integrated wearable devices are transforming the way workers interact with machinery, boosting productivity by 20% and reducing machine downtime by 25%.

7. Conversational AI: Simplifying Operations with Voice Commands

Conversational AI is simplifying factory operations with natural language processing (NLP), allowing workers to request updates, check machine status, and adjust schedules using voice commands. IBM Watson Assistant and AWS AI services make these interactions seamless by providing real-time insights. Factories have seen a reduction in response time for operational queries thanks to these tools, with IBM Watson helping streamline machine monitoring and decision-making processes.

Conclusion: The Future of Manufacturing Is Here

Every industrial revolution has sparked the same fear, machines will take over. But history tells a different story. With every technological leap, humans haven’t been replaced; they’ve adapted, evolved, and found new ways to work smarter. AI is no different. It’s not here to take over; it’s here to assist, making factories faster, safer, and more productive than ever.

From AR-powered guidance to AI-driven quality control, the factory floor is no longer just about machinery, it’s about collaboration between human expertise and intelligent systems. And at Mantra Labs, we’re diving deep into this transformation, helping businesses unlock the true potential of AI in manufacturing.

Want to see how AI-powered Augmented Reality is revolutionizing the manufacturing industry? Stay tuned for our next blog, where we’ll explore how AI in AR is reshaping assembly, troubleshooting, and worker training—one digital overlay at a time.

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