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Is Home the Next Prize for Insurers?

By :
3 minutes, 15 seconds read

As work from home is proving to be efficient and productive, people are beginning to make their houses more comfortable to make it conducive to good work results. 69% of Indian employees believe that their productivity has improved while working from home. The creation of an organized space and additional expenses on equipment for professional needs are some of the requirements that Indian employees might need to do. As people are slowly adjusting to the ‘better normal’, it is paving a way for a connected living. Even though connected living was in its nascent stage before the pandemic, people will witness its necessity now. As most homes would transform, people are most likely to get home insurance now, therefore homes can be the next prize for insurers. 

Existing gaps between home insurance and customers

Home insurance penetration is just about 1% in India and barely 3% of houses are insured. Despite going through financial tension of repairing and reinstalling certain contents of the house, people are unwilling to buy home insurance. Houses older than 30 years are not insured and coverage for loss of Gold deems unsatisfactory among the customers. These are the most commonly cited reasons for people being hesitant to buy home insurance. Apart from this, one of the common misconceptions is the lengthy claim settlements. As people are gradually adopting more digital-enabled services in the ‘better normal’, home insurance is likely to witness a fundamental shift.

Home Insurance is the next prize for insurers

With remote working, newer risks are likely to prop up. For instance, while using the Zoom platform, a lot of people suffered security issues. Cyber risk and cybercrime coverages are not usually included by most standard home insurance companies but are slowly becoming popular. For instance, State Farm is the only major home insurance company that offers personal cyber insurance in addition to a standard homeowner insurance policy. 

Insurers are recognizing the significance of smart-home services that can help them enhance their offerings and personalize the customer experience. Installation of smart home devices would lead the insurers to become watchdogs of the contents of the house. Connected security systems and smart-home devices also mean low premium, thus allowing insurers to change the value proposition.

The world of connected living will also bring the opportunity of partnerships. For example, AXA partnered with connected device manufacturers to enhance its offering. It has developed a mobile application “MY AXA” with which it can control the smart-home devices. MyFox, Kiwatch, Philips Hue, Orange My Plug are some of the manufactures with which AXA has partnered. Owing to this, customers can get policies at a lower premium. 

Work from home has made people realize the necessity of a conducive environment to work smoothly. A comfortable space and installation of technologies and equipment at home for professional demands are being recognized by people. Owing to this, home insurers can expect calls from their customers who might want to know the coverage of assets. Few contents can also require extra coverage such as electronics, depending on the level of usage. For instance, Lemonade’s contents insurance covers contents with extra coverage on assets such as bikes, jewellery, etc. If a customer wants extra coverage on their camera, they would be required to send pictures of the receipt and camera. In the case the receipt is misplaced, insurers can determine the replacement value based on the current value of the camera. 

Conclusion

People have seen a change in their lifestyle, and are buying products to make their houses comfortable to work in. Content insurance can ease lifestyle by providing extra coverage on valuable assets, and act as watchdogs for physical assets. As priorities are meant to change in the ‘Better Normal’, people are likely to consider home insurance. With the ‘Better Normal’ and modification in work culture, the insurance sector is also likely to transform its services to cater to customer needs.   

Further Readings:

  1. The State of AI chatbots in Insurance 2020 Report
  2. Mantra Labs joins the third annual Insurtech100 list
  3. Contactless Solutions in Insurance
  4. The CIO guide to keeping operations up during pandemics
  5. COVID-19 Lockdown Effects: A Paradigm Shift in Indian Edtech
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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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