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InsurTech: Present and Future of Insurance Technology

Insurers need to spin the technology that offers their customers with more efficient, optimized and relevant policies. The ones that could be customized could be fed with data from a wearable/mobile device or the ones that are applicable for just an hour. With such customer focus initiatives, they yet need to achieve core business objectives like price and operational efficiency and compliance to stringent regulations. Could the Insurtech meet up the expectations? Could technology lend a helping hand? Let’s explore how the insurance vertical is evolving with the latest technology and what its future is –

The Present of InsurTech

The insurance firms are under immense pressure of reorganizing their house – customized policies, risk mitigation strategies, real-time analytics, instant claim settlement, sensors, drones and augmented reality (AR) apps are playing a significant role. So, what are the technologies adopted by the firms? Let’s take a closer look –

Robo-Advisory Services

Robo-Advisors have seen a broad adoption across insurance sectors. Unlike olden days when hiring a financial advisor was a dream for many individuals, with Robo-advisors people of the low-income group could use DIY advisory for their financial portfolio. Should you opt for all critical disease cover or only a few? Should buying an integrated policy be beneficial or an individual one is some of the questions that could be answered via Robo-Advisory Services.

Policies via Sensors, Detectors, and Telematics

Sensors, Detectors connected via the internet could send early signals of smoke/radiations to the rescue services, helping in minimizing the damages. Also, Telematics like monitoring automobile speed, the behavior of a rash driver could assist in making a clear judgment of claim policies for individuals and insurance firm. Hence while IoTs and interconnected network could be a boom in offering customized policies, these minuscule are taking insurance services to the next step.

The Future of InsurTech

Could technologies like Blockchain, Augmented Reality, Virtual Reality change the world sees insurance sector? Would they bring in the exotic flavors of policies? Only time can tell, for now, let’s explore how these technologies could be handy in insurance sector?

Blockchain

A distributed ledger technology has the potential to ease out fraud detection and risk prevention as per a report from EY. The report also highlights that blockchain is efficient in establishing transparent and customer focussed claims building trust and loyalty for the insurance firms.

Augmented or Virtual Reality

Just imagine driving in stormy weather, an AR app helps you define the road/lane border so that you do not bombard a tree or a car in your parallel path. Or how about a 3D modeling and simulations help customers in making insurance claims easier and faster? Or how about before you go for the home insurance a simulation helps you pinpoint all the areas under insurance rather than reading the lengthy document? It all is a possibility with AR and VR technologies.

With the evolution of technologies, the secret is to be adaptable to change. @Mantra Labs we believe in this, and hence one of our esteemed clients Religare is using our InsurTech solutions in Post-sale, pre-claim, post-claim and renewal processes. It helps in providing customers with transparent and intuitive services that is robust and secured for businesses. A win-win for all.

Reference Links:

https://assets.kpmg.com/content/dam/kpmg/xx/pdf/2016/10/how-augmented-and-virtual-reality-changing-insurance-landscape.pdf

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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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