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Impact of COVID-19 on Motor Insurance & Practical Challenges for Insurers

5 minutes, 36 seconds read

The outbreak of COVID-19 shook the very foundation of many industries. It is probably the first time that a pandemic created a dent in the world economy. Statista estimates that COVID-19 will bring down the global real GDP growth by 0.5 percent in 2020 compared to the previous year.

Consumers have become conscious of their expenditure. Due to disruptions in supply chains, many small and medium businesses have suffered huge losses. A dip in international trade has created a ripple effect across all industries including travel, hospitality, insurance, and manufacturing. 

The pandemic has different effects on the life and non-life segments of Insurance. While the rising concern for health has led to a spike in life and health insurance demands, the general insurance sector is suffering a setback due to restrained expenditure. 

Motor insurance is no different from being severely hit by the pandemic. Amidst this crisis, people are not keen on purchasing cars, bikes, which is directly affecting the insurance sector as well. Re-negotiation on premiums is another big challenge for Insurers. Let’s delve deeper into the impact of Covid-19 on motor insurance and practical challenges for Insurers.

The Real Picture

Till a cure is available in the market, there will be travel restrictions to a certain extent. People will hesitate to commute daily and avoid long-distance travel. The significant drop in the usage of motor vehicles is impacting claims and sales differently.

Claims and Premium 

In the initial lockdown period, many people were not able to drive their vehicles. The domino effect of this was a reduced number of motor insurance claims. 

At first, it sounds profitable for Insurers. But, for policyholders, continued premiums on policies they can’t use seems an additional burden. So most customers are either asking for bailouts or reduced premiums or refunds on premiums. 

Some major Motor insurance companies in the US and UK have already refunded 10-15% of annual premiums back to customers. In India, the finance ministry has extended the validity of the third-party insurance policies which were up for renewal during the lockdown.

Sales 

Moody’s Investors Service, expects a 20% drop in global auto unit sales as compared to its earlier projection of 14%. In many countries, Motor Insurance is compulsory. However, if people won’t use vehicles, there’ll be a significant dip in the requirement for Motor Insurance policies. 

In the wake of the current situation, IRDAI decided to withdraw its earlier policy of long-term third party vehicle insurance coverage from August 1, 2020. Earlier, the third party insurance was mandatory (three years for new cars and five-year policies for two-wheelers). 

The IRDAI’s decision is a result of concerns over the implementation of a long-term insurance cover package which made buying new vehicles an expensive affair. This will reduce the price of vehicles, which, in turn, will boost the automobile and motor insurance sectors.

Prevailing Challenges for Motor Insurance Companies

Motor Claims Process

Vehicles can still suffer damage due to theft, natural calamities, non-usage, etc. Moreover, once people start traveling, accidents are prone to occur. It will be difficult for claims investigators to assess the damage through an in-person visit.

Some insurance companies are accepting claims and renewing premiums through online inspection and vehicle photograph assessment. This procedure, however, is still in a nascent stage. Despite high-resolution cameras, it is possible to overlook a dent due to deflection caused by sunlight. 

[Related: How Machine Vision can Revolutionize Motor Insurance]

Sales and Marketing

Even though automobile sales dropped in the short-term, it is expected to pick-up in the early quarter of 2021. 

On one hand, marketing & selling policies at the original price will be difficult for motor insurers, and on the other hand, people will avoid public transport and prefer personal vehicles for commuting. 

Insurers, thus, have a challenge for positioning their product that suits both — customer requirements and their profit margins amidst fierce competition with InsurTechs.

Policy Changes due to Volatile Consumer Behaviour 

Since there were no clauses or policies for the pandemic in place earlier, some immediate mitigation measures had to be taken such as refunds on premiums to safeguard customers’ interests. 

Going forward, till there is a conclusive solution to this crisis it will be difficult for Insurers to formulate policies that preserve both – their and customers’ interests.

Business Continuity

With lockdowns, major workforce resorted to working-from-home. In the beginning, some companies faced issues in making sure whether their employees had the means to work remotely. 

Even though the lockdowns have been eased a bit and the workforce is getting used to collaborating online, the situation is here to stay. Smooth operations with a major part of the workforce working remotely is still a challenge, especially for call-centers, surveyors, and field investigators. 

[Related: Business Continuity for Call-Center Operations: Case Study]

Lack of Historical Data

During the SARS and Ebola outbreaks, only some countries like Singapore, Thailand, China, the African continent were affected. To a certain extent, businesses were cognizant of the effects which COVID-19 would have on their businesses. 

Therefore, insurers had come out with new policies and clauses on pandemics. However, the outbreak of a pandemic of this scale where the entire world felt the effects had not happened earlier. Lack of historical data for motor insurance is making it difficult to come up with mitigation strategies and business models for a sustainable and profitable business. 

Mitigation Measures and The Way Forward

“Claims” is one of the most important aspects of motor insurance and will now witness automation more than ever. Coupling Machine Vision technology with panoramic/360° pictures can give insurers a holistic view of the extent of the damage.

Car rental services have an extensive guide to click pictures of the car rented before driving which makes the process very tedious. This can be simplified through apps having pre-shot pictures of the car before renting it out. AI can also help assess the accuracy of the images. 

[Related: How can Artificial Intelligence settle Insurance Claims in five minutes?]

In the short run, finance ministries in many countries have taken steps to lessen the burden of the insurance premiums. But in the long run, insurers will have to come up with policies that are more viable for the insurance buyers. ‘Pay-as-you-use’ policies will see more demand because of their small ticket size. 

Technologies such as IoT can help gather data through sensors that could help underwrite insurance premiums for vehicles. The data gathered can help understand consumer behavior and profile them for creating future strategies. 

We’re an InsurTech100 firm, building AI-First Solutions for the new age Digital Insurer across the entire Insurance Lifecycle. For your specific requirements and Machine Vision for motor claims, please feel free to write to us at hello@mantralabsglobal.com.

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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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