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Contactless Solutions in Insurance

3 minutes, 53 seconds read

Last decade was benchmark for contactless technology, which was mainly confined to payments. In 2014, with the launch of ApplePay followed by Android Pay and Samsung Pay, digital wallets played an important role in raising the bar for digital payment experiences. Another remarkable breakthrough in the contactless payments can be attributed to NFC-only debit cards introduced in 2016 by Erste Group Bank AG.

Now (the 2020s), we’re about to witness another disruption in contactless digital experiences, which will cover many different business spheres including insurance. 

However, prolonged lockdowns and the need for social distancing amidst the COVID crisis has shifted consumer preference towards digital. Consumers are now ready to adopt digital technologies — appreciating the contactless approach by Insurers.

Today’s consumers expect personalization, convenience, and greater levels of customer service satisfaction regardless of insurers, assets, and geography. Soon, we may resume socializing, but there sure will be a change in the way we interact with our environment. 

This article highlights the emerging contactless solutions in Insurance.

Claims Inspection

Going by the traditional physical inspection way, even a simple motor claim may take 5-7 working days. For instance, after a customer has intimated the insurer about the accident, the Insurer would assign a surveyor to assess the extent of damage/loss and authenticate the incident. 

This process is not only time consuming, but also requires the surveyor to visit the location, assess the damage, and process documents. 

Self-service claims portals can help customers register, inspect, and settle their motor insurance claims in a comparatively shorter time. It also eliminates field-visits for the surveyor.

The technology that is creating an impact here is Machine Vision. It can analyze damaged parts and the severity of damage through the photographs submitted by the customers. 

Trillium Mutual Insurance, Bajaj Allianz are already using contactless claims solutions for their policyholders.

[Also read: How Machine Vision can Revolutionize Motor Insurance]

Policy Distribution

Agents have been a predominant channel for insurance distribution for decades. In 2019, the new-age tech-savvy customers posed a threat to traditional agent-based selling in Insurance. The current COVID crisis has confused businesses as to which channel to opt. The elder generation, who preferred face-to-face communication while buying a policy, planning investment, etc. are reluctant to meet people. 

In this situation, multilingual/vernacular chatbots can handle pre and post-sales queries; thus, eliminating the need for agents/RMs to meet clients and prospects physically. 

Chatbots equipped with language processing capability can be a great contactless solution for policy distribution. They can eliminate human interaction in areas such as First Notice of Loss (FNOL) and customer support.

“The new normal is when people learn how to do contactless selling. Covid-19 has brought a change in universal behavior..everybody realizes the need for social distancing, the need to go digital and this is where people are more amenable to being sold to digital. Insurers who accomplish contactless sales today are the ones who will be able to make a difference going forward.”

K V Dipu, President — Operations, Communities & Customer Experience, Bajaj Allianz General Insurance

[Also read: ‘Digital’ Insurance Broker: The case for a digital brokerage]

Another aspect of this case is equipping agents with technical knowledge and they can help clients/prospects on “how to” situations through video chats.

API Integration

In the API-based business model, apart from traditional distribution channels, 3rd party apps allow customers to buy/renew insurance policies. 

Digital wallets like PayTM and PhonePe (in India) have updated their interface to allow essential payments to the fore including insurance premiums. The API-based approach in Insurance is gaining momentum as it allows contactless payments and adds convenience for the user.

[Also read: Four New Consumer-centric Business Models in Insurance]

Contactless Solutions: Field Survey using Drones

Drones carry the ability to extract accurate field information, which can fuel real-time analytics using artificial intelligence and machine learning. MarketsandMarkets estimates the Indian drone software market to reach $12.33 billion by 2022. Drones can fulfill two strategic objectives for Insurers:

  1. Risk management: through efficient field data collection, analysis, and actionable insights 
  2. Operational costs management: through effective claims adjudication, claims processing, and customer experience.

The Future

Gradually, the world will move towards a contactless ecosystem. Most of the processes will be automated and wearables and mobile devices will dominate business-to-customer interactions. 

Automotive business, which totally relied on the dealership and offline sales has adapted itself to operate online amidst this crisis. Companies like BMW, Hyundai, Volvo, and Peugeot have already introduced contactless online sales globally.

The point is — people are giving a thought to buying an expensive asset without physically examining it. Digital channels are giving almost similar experiences as physical channels to both consumers and businesses.

In the Insurance landscape, people are open to buying policies online, and at the same time, Insurers are ready to rely on technology for claims investigation, underwriting, and fraud detection. 

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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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