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Digitalizing Insurance Experience for SMEs

India is the largest SME (Small and Medium Enterprise) market in the world contributing to employment generation and overall growth. According to IBEF, the Udyam Registration portal registered 446,980 small and 40,400 mid-sized enterprises as of February 2023. The pandemic turned out to be a major reason behind this immense growth in the SME number as many people who lost jobs during this tough time were forced to start their own businesses in order to survive. 

However, insurance penetration in this category has been quite low. Majority of the SMEs are either underinsured or have no insurance at all. When it comes to insurance, navigating the insurance marketplace could be a cumbersome task for SMEs. Nonetheless, insurance is a necessity for businesses, regardless of their size, to protect themselves against unexpected risks. This blog explores the transformative power of digitization in revolutionizing the insurance experience for SMEs in India, bringing efficiency, convenience, and better coverage options.

Here are some common CX challenges they face in this process:

  1. Complex Policy Documentation: Insurance policies typically involve lengthy and complex documentation with technical terms and legal jargon. SMEs may find it challenging to comprehend the policy details, coverage exclusions, and limitations. This complexity can lead to confusion and difficulty in selecting the right coverage and understanding the extent of protection provided.
  2. Limited Coverage Options: Insurance providers may offer limited coverage options tailored specifically for SMEs, especially in niche industries. SMEs may need help finding policies that adequately address their unique risks and requirements.
  3. Lack of Risk Assessment: SMEs may need more expertise or resources to conduct thorough risk assessments and implement effective risk management strategies. 
  4. Inefficient Claims Handling: SMEs may face challenges in navigating the claims process efficiently. Delays, complex procedures, and limited communication during the claims settlement phase can negatively impact their operations and cash flow.
  5. Limited Flexibility and Customization: SMEs often require flexible insurance solutions that can adapt to their evolving needs as they grow and change. Insurers that offer rigid policies with limited customization options may not fully address the unique requirements of SMEs, leading to gaps in coverage or unnecessary expenses.

Decoding the Insurance Needs for SMEs: 

  • An exclusive platform for all insurance needs.

In the last few years, many insurance companies in India realized the pain points of SME owners, especially post-Covid -19, and have started focusing more on SME customers. 

Mantra Labs worked with APACs leading life insurance firm to develop an exclusive digital insurance platform and transform the experience of SME owners. 

  • Customized Products: Tailored Coverage Options 

Digital platforms have enabled insurance providers to offer specialized coverage options specifically designed for the unique needs of SMEs. Whether it’s comprehensive business insurance, professional indemnity, or cyber risk protection, SMEs can now access policies that cater to their industry-specific requirements. This customization ensures that SMEs receive the necessary coverage while optimizing their insurance investments.

  • Faster claims management: 

Leveraging technology, SMEs can now submit claims online, track their progress, and receive quicker settlements. Automation and integration with relevant data sources enable insurers to expedite claims processing, enhancing the overall experience for SMEs.

Empowering Small Businesses

Technology can help in choosing the right personalized insurance for SMEs.

Data Analytics for Risk Management: 

Digitization unlocks the potential for robust data analytics, enabling SMEs to gain valuable insights into their risk profile. Insurance providers can leverage data collected from SMEs’ digital interactions to offer personalized risk management solutions. By analyzing historical data and identifying patterns, insurers can proactively help SMEs mitigate risks and prevent losses, ultimately contributing to their long-term success.

Recently, ICICI Lombard partnered with actyv.ai- a Singapore-based SaaS platform to co-create innovative insurance solutions specifically designed for SMEs and their supply chain partners.

Conclusion

Digitizing insurance experience for SMEs is a vital step that insurance companies must take to gain a competitive edge in the market. SMEs are the backbone of any economy and must be adequately protected against unforeseen events that may affect their businesses. As customer experience becomes more critical in the insurance industry, digitizing the customer experience has become a necessity if insurance companies want to attract and retain SME customers.

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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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