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4 Key Takeaways from India Insurance Summit & Awards 2020

The India Insurance Summit & Awards 2020, themed around technology and innovations in Insurance concluded on March 13th in Mumbai. The event witnessed enthusiastic participation from corporates like Future Generali India Life Insurance, ICICI Lombard, Aditya Birla Sun Life Insurance, Pramerica Life and many more. The stalwarts from the Insurance industry addressed the tech-powered revolution that is soon to happen with Digital 2.0. Here are 4 key takeaways from IISA that highlight the future of Insurance and InsurTech.

1. Digital 2.0 is on rise

Accenture’s research report on the post-digital era reveals that 94% of businesses have accelerated their digital transformation over the past three years. While the era of Digital 1.0 was focused on the mobile, simplified design and a wider range of applications, Digital 2.0 extends the ecosystem into the next-gen interface which relies on anywhere, anytime and any platform mindset.

The traditional insurance distribution channels have already received a digital facelift; with Digital 2.0, they tend to become more consumer-focused and experience-driven. Insurers are empowering distributors to deliver next-gen experiences to customers and deliver products & services for Micro-Moments

[Related: How technology is transforming Insurance distribution channels]

2. Millennials are characterized by Micro-Moments

Micro-Moment is an intent-rich moment when a person turns to a device to act on a need — to know, go, do, or buy” (Google).

An average consumer experiences hundreds of micro-moments throughout the day. More than 91% of smartphone users use mobile phones for inspiration in the middle of a task. People are becoming more research-obsessed and almost every decision made online is informed. For instance, 51% of digital consumers have purchased from a company other than their intended brand, solely based on the information they find online. Moreover, 62% of people are more likely to take an action (like purchase decision) right away even in the middle of some other task.

Earlier, customers used to view the lowest priced product as their best value for money option. Now, the customer’s ability to research is leading to higher-priced products being bought because of the greater perceived value of the product.

As a notion, Insurance is not bought; it’s sold. Thus, micro-moments present immense opportunities to engage with the customer during their buying journey. By leveraging the right points of interaction, Insurers can propose relevant and personalized insights to win customers.

[Related: Millennials and Insurance beyond convenience]

3. Online is best for small-ticket insurance 

Small-ticket insurance (or bite-size cover) focuses on the specific needs of consumers. These are characterized by low premium, low cover and hence lower profit margins. Thus, offline distribution, which involves agents and brokers isn’t feasible. Online channels with emerging API-based distribution and marketplaces are best for distributing small-ticket insurance products. In India, companies like Toffee Insurance, MobiKwik and Digit Insurance provide bite-size insurance. 

Within life insurance, term plans are sold the most online. Insurers have observed that online customers buy more and stay longer with the brand as compared to offline customers. In general, online products are more compelling. The key is — small market, great margins and greater profitability.

Moreover, small-ticket insurance delivers two-fold benefits. Consumers, who haven’t bought an insurance product before, need not pay lengthy premiums (also beneficial to Insurers for customer acquisition); while Insurers find it easier to predict customer behaviour online, allowing them to underwrite risks more accurately.

4. Technology will enhance post-sale moments of truth

Insurers have already started to utilize technologies like NLP to build self-service policy renewal/inquiry portals, AI for zero-touch integrated claims, to name some. The behaviour of the same customer on different channels (like Twitter, Instagram, LinkedIn etc.) is unique. Carriers have to map and understand these behaviours to create better-individualized journeys. Distributor journeys also play a crucial role in analysing post-sale moments of truth. Insights from distributor journey can help Insurers modify/add products into the chain based on buyers’ experiences.

Technology is also helping Insurers participate in a connected information ecosystem. Data from geo-tagging of accidents can be shared with law enforcement to understand areas prone to accidents, underlying causes and even catching criminals through facial recognition technology. For instance, Staqu Technologies, a Gurugram-based AI startup, is providing facial recognition systems to many state government police departments.

Wrapping up

Although 94% of urban and 24% of the Indian rural populace use the internet, Insurers still rely heavily on offline third-party insurance sold by agents (e.g. third party motor insurance for the rural market).

Even though online is cheaper than offline, customers prefer offline as it has more accountability. What drives offline to online is understanding that every customer is unique with unique needs and unique propositions. The truth of the matter is — when things fail, online becomes harder for customer acquisition. AI and Automation has allowed for significant cost reduction and process efficiency gains across the value chain for carriers. However, AI should be used strategically to augment processes that cannot be entirely automated so as to not fully eliminate the human in the loop, in order to better assist customers (eg: speaking to an actual person for resolving complex issues.)

Mantra Labs was a proud customer experience partner at India Insurance Summit & Awards 2020. During the event, Mantra unveiled the Internet of Intelligent Experiences (IOIX) illustrating the extremes to which technology can create sensory disruption in customer experiences!

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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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