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The Growth of Usage-Based Insurance in India

Usage-based insurance (UBI), or telematics insurance, is a type of auto insurance policy that considers the insured individual’s traditional auto insurance. It relies on general demographic information and historical claims data to determine premiums.

UBI uses real-time data from telematics devices or smartphone apps to assess risk and calculate premiums.

While it is still a relatively less used insurance product, several prominent insurance companies in India offer UBI:

  1. Bharti AXA General Insurance: Bharti AXA offers a telematics-based motor insurance policy called “DriveSmart.” This policy uses a smartphone app to collect data on driving behavior and offers discounts based on safe driving habits.
  2. ICICI Lombard General Insurance: ICICI Lombard offers a usage-based motor insurance policy called “Pay as You Drive.” It uses a telematics device installed in the insured vehicle to monitor driving behavior and provides premium discounts based on safe driving.
  3. HDFC ERGO General Insurance: HDFC ERGO provides a telematics-based motor insurance policy called “My: Health Drive.” 
  4. Reliance General Insurance: Reliance General Insurance offers a usage-based motor insurance policy called “Pay-As-You-Drive.” It uses a telematics device to track driving behavior and offers discounts based on the collected data.

How has the adoption of usage-based insurance grown in India?

The adoption of usage-based insurance (UBI) in India has steadily grown in recent years. While it is still a relatively new concept in the Indian insurance market, several factors have contributed to its increasing popularity:

  1. Technological Advancements: The widespread availability of smartphones and the advancement of telematics technology have made it easier and more cost-effective for insurance companies to implement UBI programs in India. Telematics devices and smartphone apps can now accurately collect and transmit driving data, enabling insurers to assess risk and calculate premiums based on individual driving behavior.
  2. Cost Savings Potential: One of the critical drivers for adopting UBI in India is the potential cost savings for policyholders. By incentivizing safe driving habits, UBI policies offer the opportunity for individuals to lower their premiums based on their driving behavior. This appeals to cost-conscious consumers who are looking for personalized insurance options.
  3. Increasing Awareness of Road Safety: India has been actively promoting road safety initiatives and campaigns in recent years to address the country’s high number of road accidents. UBI aligns with these efforts by encouraging responsible driving behaviors and offering rewards for safe driving. As individuals become more aware of the importance of road safety, the appeal of UBI policies grows.
  4. Shift in Consumer Preferences: With the advent of digital transformation and changing consumer expectations, there has been a shift in the way people perceive and interact with insurance. Customers now seek personalized and flexible insurance options that align with their lifestyles and preferences. UBI caters to this demand by offering tailored coverage and potential cost savings based on individual driving patterns.

While the adoption of UBI in India is still relatively modest compared to traditional insurance policies, it is expected to grow further as more insurance companies introduce UBI offerings as consumer awareness and acceptance continue to increase. 

Here are some suggestions to increase user adoption and usage of UBI in India:

  1. Consumer Awareness: Educate the customers about the benefits of UBI, such as personalized premiums, safe driving incentives, reduced frauds, and better claims management
  2. Subscription Options: At the initial stages of adoption, it is essential to help users with various payment structures to assuage fears. Similar to the “try and buy” and “cash on delivery” models adopted at the beginning of e-commerce shopping in India, companies can provide various types of UBI products to suit different customer segments and preferences, such as Pay as You Drive (PAYD), Pay How You Drive (PHYD), Pay as You Go (PAYG), and Distance-based Insurance.
  3. Transparency: This form of insurance relies on the free flow of data using technology to collect and analyze it. For example, with mobile apps, plug-in devices, GPS devices, onboard sensors, mileage detection, etc. Communication on how the data is used through videos, informational widgets, or notifications helps ensure the customer is aware of the data privacy and security measures undertaken by an insurer.
  4. Leveraging Channel Partners: UBI requires a robust ecosystem for easy adoption. Companies can partner with OEMs, dealers, aggregators, and other stakeholders for UBI distribution and service.

UBI is relatively new in India but is gaining popularity among car owners who want more control over their insurance costs. The way forward for UBI in India depends on several factors, such as adopting telematics technology, the regulatory framework, consumer awareness, and market competition. UBI has the potential to transform the car insurance industry in India by making it more transparent, fair and customer-centric

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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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