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

INSURTECH – Inspiring People and Offering Opportunities

While InsurTech offers benefits via process efficiencies, cost reductions, or radical changes to the customer, it was under the late adoption category when compared to other financial industry sectors, as per a report from Deloitte.

Figuring the current state of InsurTech, it is found by Accenture that InsurTech deals in the USA are still the highest with $1.24bn worth of deals. However, the number of insurtech deals in Europe grew 118%, while the value of deals in 2017 was $679m, 385% more than in 2016. Another report highlights that the UK is Europe’s largest insurtech hub, with 41 deals in 2017.

On the other hand, Insurtech in India is picking up the pace via its integration with modern technologies like Artificial Intelligence[AI], Machine Learning [ML]and the Internet of Things [ IoT].

So what were the factors that inspired Insurance companies to handshake with the advanced technologies? Or what were the dimensions in insurtech that encouraged people? Let’s have a look –
OPPORTUNITIES’ THAT INSPIRES INSURTECH

INNOVATION TO HELP MULTI-LAYERED STRUCTURE

Insurance is a multi-layer process, be it vehicle insurance that involves the owner, insurance firm and the vehicle seller or health insurance that requires patient, hospital and the insurance firm. The story could get a bit more complicated when coverage is provided via an employer, adding another layer of interaction.
Could disintermediation of the layers make it easy for customers to avail insurance? Well, yes a robust platform strategy is all you need. Just, for example, you may be approaching a corporate client to sell your health insurance policy; if some of the employees are using a type of health tracker device, it would be better to have a base of standard APIs and interface where all interface could connect and communicate.
Or picking another example, when your vehicle meets an accident, your smartphone could record and upload the photos on the integrated platform offered by the insurance firm and claim processing could be pushed.

MATCHING THE NEED FOR CUSTOMERS

The internet generation is keen to buy things in untraditional ways, while earlier government job was the norm, millennials are eager to own their business. To serve such a customer base, insurtech has been on their toes and offering customized insurance policies that may last for a trip or even for hours commonly known as Microinsurance. The ability to turn on and off your insurance policy is another creative way that has inspired people to buy insurance.

REVOLUTION TO CUSTOMIZE PRICING

Gone are the days when a full traditional policy was the norm and customers had no other option but to buy it. The customer is now attracted to innovative pricing models offered by insurtech firms. While the customer is planning his vacation via air, insurtech based on the data gathered could provide a customized 2-day or 5-day insurance cover. Or how about accessing the assets at home and providing insurance against burglary for your vacation time? Well, these revolutionary pricing model are helping insurtech to catch customer behaviour and allowing them to make fast claim processing via different tools.

IMPROVEMENTS WITH TECHNOLOGY

Integration with technologies like Blockchain, AI, and IoTs is helping people to avail enhanced services and operational development. While combination with Blockchain will help in building a higher level of trust, it also has the potential to offer new products. Pairing with IoTs would assist in gathering data and avoiding fraud claims. On the other hand, AI could help in automation of the age-old processes and documentation thereby streamlining the procedures.

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

Smart Manufacturing dashboards aren’t just analytics tools—they’re productivity engines that help plants move faster, think smarter, and operate leaner.

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