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

5 InsurTech Trends for 2023

3 minutes read

For 2023, we believe that InsurTech will be used to supplement the rising concerns of inflation, arrested economic development, and heavily burdened pension schemes by catering to customers with greater attention to detail. 

# Digitally Enabled CX 

Insurance models in the present context have become bloated and complicated to the point where customers feel alienated. Customer needs are also converging across a wide range of areas: health, retirement, and investment management, to name a few. Simplifying the existing delivery model is key, and one such model that is likely to emerge is that of being a ‘distribution specialist’.

These firms are predominantly client-centric and extremely capital-light as they do not take on balance sheet risks. These firms will invest heavily in client-facing technology, and those that curate a delectable insurance discovery and delivery experience will have a huge leg-up over their peers. These developments are in line with Gartner’s predictions for the InsurTech industry, where digitally enabled CX is listed as a key success factor for InsurTech in the coming years.

# InsurTech native Telematics

Analysts and experts alike have been citing usage-based insurance programs as the next big thing in the world of insurance for nearly two years now. But how effective can usage-based programs be if they rely entirely on the customer to predict their decisions and make purchases accordingly? 

This is where telematics systems come in. As cars become increasingly ‘smart’, it will become easier and cheaper to integrate telematics into the insurance plan to implement a real-time ‘pay as you go’ plan. Telematics will be crucial for developing markets in Asia as societies become increasingly digitized and people start to get comfortable with the idea of insuring themselves and their vehicles separately. 

# Algorithmic Risk Assessments

Research has shown that with the application of machine learning models to the risk assessment strategies employed by risk analysts, Insurance companies can decrease the time taken to evaluate customer profiles by allowing faster servicing and thereby leading to greater customer loyalty and satisfaction. This will allow companies to process claims swiftly and accurately, thereby allowing risk assessment professionals to focus on refining their models.

Some firms have already demonstrated success by incorporating AI into their workflows. Lemonade, an insurance company that is ‘digital first’ has seen massive success by using AI to facilitate claims, quotes, and personalizing prices and interactions with individual customers.

# Broadening capabilities in the Metaverse

With over $25Bn dollars having been invested into it by Facebook alone, Metaverse is here to stay for the long run. And for Insurers, the possibilities offered by metaverse are hard to ignore. This means they finally have a tool to combine the efficiencies of AI-powered chatbots, with the warmth of face-to-face interactions. Internal training, conducting sales pitches, and using NFTs to verify personal documents are some of the most highly anticipated use cases.

Max Life insurance, a leading Indian insurance player has already started to think about how best to use the metaverse to boost employee engagement and morale.

# Disruptors will strive to stay afloat

Much of what made new-age insurers attractive to customers was the way they structured themselves (tech-first, expedited claims, etc.) that were antithetical to running an insurance business at scale. Kimberly Harris-Ferrante of Gartner predicts that the coming year will see a lot of new Insurtechs pivot to more traditional operating models, with the successful ones being acquired and the others being forced to shut shop.

Some have already closed down, such as GoBear (Asia Pacific) citing increasing regulatory and compliance pressures as the primary reason. Other examples include Kinsu (from Latin America) and Coverly for small businesses.

Conclusion: 

2023 is likely to see the beginning of the final stretch of digital transformation in the insurance industry as many have already caught on to the basics that are required to run a robust digitally-enabled sales and servicing operation. Conservatism will go hand-in-hand with novel, disruptive technologies as incumbents will lap up all existing software capabilities to bolster direct distribution, simpler delivery mechanisms, and a narrower focus on servicing the customer. Expect greater use of APIs, hybrid cloud architectures, and ‘headless tech’ in the coming year.

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