Try : Insurtech, Application Development

AgriTech(1)

Augmented Reality(21)

Clean Tech(9)

Customer Journey(17)

Design(45)

Solar Industry(8)

User Experience(68)

Edtech(10)

Events(34)

HR Tech(3)

Interviews(10)

Life@mantra(11)

Logistics(6)

Manufacturing(5)

Strategy(18)

Testing(9)

Android(48)

Backend(32)

Dev Ops(11)

Enterprise Solution(33)

Technology Modernization(9)

Frontend(29)

iOS(43)

Javascript(15)

AI in Insurance(41)

Insurtech(67)

Product Innovation(59)

Solutions(22)

E-health(12)

HealthTech(25)

mHealth(5)

Telehealth Care(4)

Telemedicine(5)

Artificial Intelligence(154)

Bitcoin(8)

Blockchain(19)

Cognitive Computing(8)

Computer Vision(8)

Data Science(24)

FinTech(51)

Banking(7)

Intelligent Automation(27)

Machine Learning(48)

Natural Language Processing(14)

expand Menu Filters

Here’s how Insurtechs are evolving India’s Insurance landscape during the Pandemic

7 minutes read

The COVID-19 pandemic and subsequent global lockdowns triggered plenty of structural changes that forced insurance companies to enter the arena with their eyes on the prize. The pandemic year thus proved to be a catalyst, in turn, nudging insurers to shift their focus and prioritize customer experience, market agility, and business resilience. 

According to BCG, “Globally, insurtechs raised $7.5 billion last year, as COVID-19 accelerated the need for digital transformation in insurance.” 

Investor funding in insurtech came to $5 billion in the first quarter of 2021 with 261 deals, according to Forrester’s “Insurtech funding roundup, Q1 2021” report. 

How has the pandemic impacted Insurtechs in India 

India is the second-largest insurtech (insurance technology) market in the Asia-Pacific region, accounting for 35% of the $3.66 billion of venture capital coming into the sector, according to S&P Global Market Intelligence data.

“Insurance technology investors are attracted to India since it is one of the fastest-growing insurance markets in the world,” said the report. 

Insurance premiums in India have been reported to have totalled $107 billion in India until March 31, 2020, growing at a compounded annual growth rate (CAGR) of 10% from FY15 to FY20. 

“While big techs are vying to become digital intermediaries in the insurance space, established carriers are building proprietary digital channels. Startups that assist both incumbents and big techs in making this transition will likely emerge as winners,” the S&P report continued.

“Partnerships between large insurers and insurtechs have the potential to enable more personalized online distribution, predictive underwriting, and more efficient claims management,” said Alpesh Shah, managing director and senior partner, Boston Consulting Group while speaking with the business daily, Mint. 

Read: How Insurtech is Reshaping the Future of Insurance

The fast-growing industry is introducing solutions for AI-based underwriting, virtual claim filing, among others. The next big revolution could come in the form of blockchain contracts, where customers might not need to file a claim. Bajaj Allianz General Insurance has already introduced a travel insurance product that uses blockchain to settle claims on flight delays automatically.

In another scenario, Acko General Insurance tied up with over 20 digital platforms across retail, travel, finance, and others to distribute bite-sized insurance. Ola’s trip insurance by Acko has insured more than 23 million rides in less than 10 months and is being hailed as one of the most innovative insurance products in the industry.

Another Insurtech startup, Toffee Insurance, offers insurance against theft or damage to bicycles and accidental injuries related to a fitness activity or sport.

Image Courtesy: fintechnews.sg 

Speaking about the Insurtech evolution and their funding in India, BCG’s India Insurtech Landscape and Trends reports that, “Global funding in Insurtechs have grown from about $2 billion in 2016 to $6 billion in 2020. While Americas account for the largest share of funding (68 percent of funding in 2020), Asia has been the fastest-growing geography till 2019 (5-year CAGR of 60 percent). In India too, albeit with a smaller base, funding has seen an increase from a modest base of $11 million in 2016 to $287 million in 2020. The funding trend has continued with Turtlemint raising $30 million in November 2020 and Digit raising around $84 million at the start of 2021.” 

“APAC-based insurtechs attracted $1.4 billion—up 15% year-over-year from the previous year—driven by companies headquartered in China ($800 million) and India ($450 million). Representative examples are Medbanks, a medical database-services company offering oncology-related services, which brought in $305 million in Series E+ funding, and Policybazaar, a price-comparison portal that raised $130 million in Series E+ funding,” the report continued. 

Insurers vs. Insurtechs in the current ecosystem

Image Source: everis.com 

Claims in the digital age

Even before the COVID-19 pandemic struck, customers had already begun leading digital-centric lives that required insurers to rethink their MO and strategies. “With the demands and constraints of the pandemic, a technology-enabled service delivery with a digital claims process is non-negotiable and mission-critical. In the past, these needs may have gone unmet due to lack of technology solutions or an insurer’s inability to capitalize on technology, but the situation today is very different,” reports Deloitte. 

The COVID-19 pandemic affected Insurtech firms on various levels, impacting demand, claims, and loss patterns in a number of ways across product lines and operating models. 

Thus, arose a need to overhaul and reset the core value system and give way to a new growth engine led by customer retention and loyalty, both driven by customer interactions with insurers, specifically during the claims experience.

“Claims operations, which have been traditionally treated as outputs of a “reactive back office,” will have to become a powerful differentiator—innovative and uncompromising on customer service, with multifaceted talent and capable of driving strong results,” continues the Deloitte report. 

Digit, an India-based multi-line insurer, launched a new product that covers pre-and post-hospitalization expenses, road ambulance charges, and a second medical opinion regarding eight viral diseases, including COVID-19 and dengue. 

For Care Health Insurance, erstwhile Religare, Mantra Labs, the Bengaluru-based Insurtech firm deployed Hitee, a conversational chatbot to be the first-level customer support for existing and new customers. This led to higher New Business Conversions by a factor of 10X, and a significant drop in Customer Queries over Voice Support by 20%.     

Source: www.mindbowser.com 

The pandemic and its subsequent wave accelerated the shift towards going digital in the insurance industry. In 2021, there is an apparent inclination towards personalization, data mining, automation, and cloud computing in the Insurtech space.

Read the 7 key trends we’ve expected this year in Insurance here. 

Cancel

Knowledge thats worth delivered in your inbox

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.

Cancel

Knowledge thats worth delivered in your inbox

Loading More Posts ...
Go Top
ml floating chatbot