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Scope of Phygital in Insurance

The Indian insurance market is undergoing a rapid change. The focus on digital cannot be limited to customer acquisition since customer engagement is the key. However, some customer segments depend on traditional insurance channels of interaction. 

Problems With Traditional Insurance

With customers split into different segments, insurers require hybrid methods to satisfy the needs of all. A reimagined approach to the network and methods of interaction to provide seamless and frictionless experience is the need of the hour. 

Phygital, as a paradigm, challenges the cascaded approach of traditional insurance and bridges the gap between both the worlds effortlessly.

The insurance industry is expected to touch sales of US$ 280B by 2020. However, there is still a trust deficit between customers and insurance companies primarily due to suspect products with unrealistic returns being sold in the past decade. This causes the customer’s experience to be very different both online and offline for the same customer. 

Enter Phygital

The amalgamation of ‘Physical’ and ‘Digital’  or ‘Phygital’ experience can help the insurance industry amplify their yield, manifold. Phygital models can enhance the insurance buying experience. It can increase customer interactivity in insurance and enhance the overall customer experience. The sole objective of Phygital is to provide the ultimate 360-degree experience, i.e focus on relationships, life-cycle, and even life-stages.


Source: Accenture 

What’s After the Death of Traditional Retail?

Ever since Marc Andreesen predicted the death of traditional retail, the e-commerce vultures have been circling. Consumers worldwide, purchased US$2.86 trillion on the web in 2018, up from US$2.43 trillion the previous year. In India, growth is even stronger. Online retail in India is growing at a faster pace and is expected to be worth US$170 billion by FY30, growing at a CAGR of 23%.

The insurance purchase process today mostly take place in the digital medium before the customer consciously seeks a sustained physical engagement. The insurance companies then take initiatives for either influencing their conversion or closure.

In this, the customer journeys are mostly “ phygital ” – i.e. customers jump between digital and physical touchpoints while making a purchase decision. 

All these possibilities have spun a whole new disruption story through well-orchestrated alignment along the phygital retail journey.

Along with large marketplaces, the Indian insurance sector is the sandbox for medical operators, payment platforms, and insurance aggregators.

Brands Bringing Phygital Disruption in Indian Insurance 

Flipkart and Amazon

Both the consumer-tech giants have a strong understanding of how to track and influence customer journeys. With a large and loyal customer base who come to them for buying “everything”, they have a clear edge at Phygital disruption in insurance.

Google

“Insurance” is the highest revenue-generating keyword for Google. The recent announcement of Google car (Waymo) to join hands with Trov to provide car insurance for its driverless cars. This demonstrates the innovative path Google seems to be favoring at this stage in the insurance space.

PolicyBazaar

Large aggregators like PolicyBazaar, originally just a portal to compare quotes, realized the significance of “phygital marketing” in Insurance and invested in “last mile feet on the street” for adequate engagement.

PayTM and Phone Pe

Payment platforms like Paytm and Phone Pe also are in a strong position to build an insurance distribution franchise. They are already distributing a selected set of products tailored exclusively for each customer, in their mall/store, leveraging their phygital distribution reach. 

Practo

Medical platforms like Practo has created a large data-rich ecosystem of customers and medical service providers; making them a powerful channel to distribute health insurance – and in due course life insurance. 

Final Thoughts

Phygital is a bridge between traditional processes and the swiftly growing digital space. Insurer distribution models that blend both digital and physical experiences for its customers will stand to gain a significant advantage over competitors that are yet to embark on their digital transformation journey. An omnichannel marketplace that brings the customer on a unique buying experience will draw the most visibility complete with data-driven analytics and insights to personalize the modern ‘buyer-seller’ relationship.

What is your take on the future of Phygital insurance?

Let us know by commenting.

To know us in person, drop a Hi 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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