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InsurTech : Trends and Innovations in 2019

When I look back at how rapidly InsurTech is evolving over the years, it makes me wonder what will happen in the next few years. Although we cannot be sure of the technological advancements we can predict some of them for the next year.

Insurtech trends for 2019

Could 2019 be the year of some more interesting digital transformation in InsurTech? Here are some of our predictions:

1. Underwriters will gain knowledge with AI: 

Underwriting is one of the essential components of the insurance business and no matter what no machine can replace underwriters. But, we can expect that by 2019 underwriters will get a lot of assistance for their work procedures through AI and RPA. It will help them manage high volumes of data, parse and validate evidence faster and more cleanly through automation. Reports suggest that insurers spend most of their time doing mundane tasks such as data entry instead of performing core operations. The relevance of AI in 2019 will be more impactful for underwriters as it will free them from those additional time-consuming tasks.

2. Blockchain for centralising medical data:

Blockchain provides a central platform for digital medical records that underwriters can access securely. In the next year with the evolution of the regulatory environment around blockchain transaction and the streamlining and automation of underwriting processes, the blockchain will play a vital role in this industry.

3. Top-notch security:

The one thing that all sectors struggle with when they adopt the digital platform is cybersecurity. The networks are always vulnerable to cybercriminals and could be exploited at any point. Insurance firms also face the same issues with legacy systems that are often hard to update so 2019 will also see some advancement in this field and will focus on making platforms much secure, reducing risk across the enterprise.

4. Improved customer experience:

Customers are becoming digitally savvy by each passing day, and they expect a compelling user experience for every digital transaction they make. The insurers need to ensure that they provide their customers as well as the distribution partners a well crafted digital platform that is compatible with new devices while also offering them a personalised experience.  This step will also be instrumental in targeting the millennial generation who generally do not take an interest in insurance policies because of its cumbersome architecture.

5. Increased automation:

Automation is gaining momentum in the insurance industry, but it will become more prominent across the entire customer experience and the value chain. The use of chatbots for processing simple requests, quoting and analysing complex issues that might need human intervention will all be a part of advanced automation. 

6. Hyper-personalised policies:

The one thing that Insurtech will surely see in 2019 are policies that are customised depending on the needs of the insurants. The agents will make use of the predictive and data analytics to create policies that are cost-effective and useful for both the parties irrespective of their policy size.

All the predictions stated above will play a vital role in Insurtech in 2019, and one can expect accelerating growth in fields like AI, automation of processes and digitalisation of the underwritings. Data and analytics is the underlying key that will enable all these advancements to take place smoothly.

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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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