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How Technology is Transforming Insurance Distribution Channels

4 minutes, 31 seconds read

‘Insuring’ has always been a mundane and complicated subject for businesses. Distribution channels allow customers to access and purchase products efficiently. According to JM Financial, online insurance sales for new business are fast catching up and are likely to grow at a CAGR of 13 percent to become a $37 billion break by 2025.

Each distribution channel requires different resources to be effective and impact the pricing structure. The type of insurance business model determines its structure, strategy and placement in the market.

Take, for instance, India. The market size of the online insurance business in India is currently $15 billion, but the overall insurance penetration rate is just 3.7% (Statista, 2018). 

The regions where insurance penetration is low poses an immense potential for the digital premium market. Insurers can leverage the following distribution channels to undermine the profound potential.

1. Self-directed or Direct Distribution Channel

Through Self-directed or direct distribution channels, insurers can reach out to the customers without shelling out commission for any middle man. With an increase in the population of tech-savvy customers, the ready availability or online channel of advice or transaction capabilities is the need of the hour. 

Online channels, websites, social media platforms, e-commerce and kiosks are some examples of the direct distribution channels in insurance. The 2017 Global Distribution and Marketing Consumer Study reveals that nearly 51% of digitally active groups of consumers (39% of all Insurance consumers) have purchased insurance through an online channel. The direct insurance distribution channel encourages self-service and independent decision making.

NLP-powered chatbots are a great way to provide a self-service portal for buying/renewing insurance policies. Leading Insurers like Religare are leveraging the direct distribution channel by integrating chatbots in different platforms like their website, mobile app, and even on third-party apps like WhatsApp.

2. Assisted Distribution

Agents and brokers are typically the key players in the insurance distribution channel, with market shares of 42% and 25% respectively. The old school face-to-face distribution channel is very much alive and is integrated with tech assisted models to ensure more leads and conversions. They mainly play a part in advising and managing complex insurance products.

agent's share in assisted insurance distribution channel

Agents, insurance brokers and reinsurance brokers remain the most recognized insurance purchase channel. The Gartner Group reports that 60% of the US GDP is sold through assisted or indirect channels. Cognitive technology is becoming a key enabler to strengthen the assisted distribution channel. PwC suggests leveraging analytics solutions (mainly predictive analytics and behavioral analytics) to increase sellers’ knowledge as well as skills.

[Related: How behavioral psychology is fixing modern insurance claims]

The technologies that are empowering learning for Insurers include augmented reality, machine learning, data analysis and NLP.

upcoming technologies in assisted distribution channel

For example, Zelros, a European AI startup, is augmenting the knowledge of sales and customer representatives through best product recommendations, advisory, and pricing based on the customer profile in real-time.

3. Affinity-based Insurance Distribution Channels

The affinity channel focuses on distributing products to a tightly-connected group of consumers with similar interests. Traditionally, the affinity-based distribution channel involved peer-to-peer networks, brokers and aggregators. While the network model remains the same, the model has become digital and tech-driven for affinity channels. And technology is playing a vital role in expanding the consumer base. The key benefits of the affinity distribution channel are-

  • Common platform for all stakeholders.
  • One-stop access to policies and claims.
  • Centralized database for insightful analysis.
API-based Insurance Model Affinity Distribution Channel

This distribution channel is also a part of B2B2C or API-based insurance business models. Here, Insurers can leverage 3rd party apps to distribute their policies. APIs or Application Programming Interfaces are lightweight programs to extend the functionality of existing apps. Travel, airbus, hotel, bank and retail are some examples of affinity-based distribution channels.

Finaccord estimates that airline companies hold a distribution share of up to 10% of the travel insurance market. The annual revenue from airline and travel insurance providers partnership may range from $1.2 billion to 1.5 billion in premiums.

[Related: 4 New Consumer-centric Business Models in Insurance, How InsurTech-Insurance Partnership Delivers New Product Innovations]

The majority of travel insurance policy sales across the globe are done through some kind of affinity partner instead of via a direct sales channel.

Jeff Rutledge, President & CEO, AIG Travel
Source: Insurance Business UK

The Bottom Line

In the countries where buying an Insurance is not mandatory, market penetration is extremely low for Insurers. Being meticulous in sales and marketing efforts and educating customers about the benefits of insurance is just not sufficient. Convenience is the key to new generation consumers. Therefore, insurers need to invest in technology and make insurance policies accessible to the new-age digital consumers through the channel of their choice. 

Michael D. Hutt and Thomas W. Speh, in their book – Business Marketing Management: B2B, suggest a six-step process to select among the most efficient insurance distribution channels-

  1. Determine the target customers.
  2. Identify and prioritize customer channel requirements by segment.
  3. Access the business’s capabilities to meet those customer requirements.
  4. Use the channel offering as a yardstick against those offered by competitors.
  5. Create a channel solution for customers’ needs.
  6. Evaluate and select the most effective among the distribution channels.

We’ve developed insurance chatbots for organizations like Religare to automate policy distribution and renewal. For your business-specific requirement, please feel free to reach us at hello@mantralabsglobal.com.

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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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