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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 Manufacturing Dashboards: A Real-Time Guide for Data-Driven Ops

Smart Manufacturing starts with real-time visibility.

Manufacturing companies today generate data by the second through sensors, machines, ERP systems, and MES platforms. But without real-time insights, even the most advanced production lines are essentially flying blind.

Manufacturers are implementing real-time dashboards that serve as control towers for their daily operations, enabling them to shift from reactive to proactive decision-making. These tools are essential to the evolution of Smart Manufacturing, where connected systems, automation, and intelligent analytics come together to drive measurable impact.

Data is available, but what’s missing is timely action.

For many plant leaders and COOs, one challenge persists: operational data is dispersed throughout systems, delayed, or hidden in spreadsheets. And this delay turns into a liability.

Real-time dashboards help uncover critical answers:

  • What caused downtime during last night’s shift?
  • Was there a delay in maintenance response?
  • Did a specific inventory threshold trigger a quality issue?

By converting raw inputs into real-time manufacturing analytics, dashboards make operational intelligence accessible to operators, supervisors, and leadership alike, enabling teams to anticipate problems rather than react to them.

1. Why Static Reports Fall Short

  • Reports often arrive late—after downtime, delays, or defects have occurred.
  • Disconnected data across ERP, MES, and sensors limits cross-functional insights.
  • Static formats lack embedded logic for proactive decision support.

2. What Real-Time Dashboards Enable

Line performance and downtime trends
Track OEE in real time and identify underperforming lines.

Predictive maintenance alerts
Utilize historical and sensor data to identify potential part failures in advance.

Inventory heat maps & reorder thresholds
Anticipate stockouts or overstocks based on dynamic reorder points.

Quality metrics linked to operator actions
Isolate shifts or procedures correlated with spikes in defects or rework.

These insights allow production teams to drive day-to-day operations in line with Smart Manufacturing principles.

3. Dashboards That Drive Action

Role-based dashboards
Dashboards can be configured for machine operators, shift supervisors, and plant managers, each with a tailored view of KPIs.

Embedded alerts and nudges
Real-time prompts, like “Line 4 below efficiency threshold for 15+ minutes,” reduce response times and minimize disruptions.

Cross-functional drill-downs
Teams can identify root causes more quickly because users can move from plant-wide overviews to detailed machine-level data in seconds.

4. What Powers These Dashboards

Data lakehouse integration
Unified access to ERP, MES, IoT sensor, and QA systems—ensuring reliable and timely manufacturing analytics.

ETL pipelines
Real-time data ingestion from high-frequency sources with minimal latency.

Visualization tools
Custom builds using Power BI, or customized solutions designed for frontline usability and operational impact.

Smart Manufacturing in Action: Reducing Market Response Time from 48 Hours to 30 Minutes

Mantra Labs partnered with a North American die-casting manufacturer to unify its operational data into a real-time dashboard. Fragmented data, manual reporting, delayed pricing decisions, and inconsistent data quality hindered operational efficiency and strategic decision-making.

Tech Enablement:

  • Centralized Data Hub with real-time access to critical business insights.
  • Automated report generation with data ingestion and processing.
  • Accurate price modeling with real-time visibility into metal price trends, cost impacts, and customer-specific pricing scenarios. 
  • Proactive market analysis with intuitive Power BI dashboards and reports.

Business Outcomes:

  • Faster response to machine alerts
  • Quality incidents traced to specific operator workflows
  • 4X faster access to insights led to improved inventory optimization.

As this case shows, real-time dashboards are not just operational tools—they’re strategic enablers. 

(Learn More: Powering the Future of Metal Manufacturing with Data Engineering)

Key Takeaways: Smart Manufacturing Dashboards at a Glance

AspectWhat You Should Know
1. Why Static Reports Fall ShortDelayed insights after issues occur
Disconnected systems (ERP, MES, sensors)
No real-time alerts or embedded decision logic
2. What Real-Time Dashboards EnableTrack OEE and downtime in real-time
Predictive maintenance using sensor data
Dynamic inventory heat maps
Quality linked to operators
3. Dashboards That Drive ActionRole-based views (operator to CEO)
Embedded alerts like “Line 4 down for 15+ mins”
Drilldowns from plant-level to machine-level
4. What Powers These DashboardsUnified Data Lakehouse (ERP + IoT + MES)
Real-time ETL pipelines
Power BI or custom dashboards built for frontline usability

Conclusion

Smart Manufacturing dashboards aren’t just analytics tools—they’re productivity engines. Dashboards that deliver real-time insight empower frontline teams to make faster, better decisions—whether it’s adjusting production schedules, triggering preventive maintenance, or responding to inventory fluctuations.

Explore how Mantra Labs can help you unlock operations intelligence that’s actually usable.

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