Astronaut loading animation Circular loading bar

Try : Insurtech, Application Development

AgriTech(1)

Augmented Reality(20)

Clean Tech(5)

Customer Journey(12)

Design(36)

Solar Industry(6)

User Experience(56)

Edtech(10)

Events(34)

HR Tech(2)

Interviews(10)

Life@mantra(11)

Logistics(5)

Strategy(17)

Testing(9)

Android(47)

Backend(30)

Dev Ops(7)

Enterprise Solution(27)

Technology Modernization(2)

Frontend(28)

iOS(43)

Javascript(15)

AI in Insurance(35)

Insurtech(63)

Product Innovation(49)

Solutions(19)

E-health(10)

HealthTech(22)

mHealth(5)

Telehealth Care(4)

Telemedicine(5)

Artificial Intelligence(132)

Bitcoin(8)

Blockchain(19)

Cognitive Computing(7)

Computer Vision(8)

Data Science(17)

FinTech(50)

Banking(7)

Intelligent Automation(26)

Machine Learning(47)

Natural Language Processing(14)

expand Menu Filters

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. 

Cancel

Knowledge thats worth delivered in your inbox

10 Analytics Tools to Guide Data-Driven Design

Analytics are essential for informing website redesigns since they offer insightful data on user behavior, website performance, and areas that may be improved. Here is a list of frequently used analytics tools to guide data-driven design that can be applied at different stages of the website redesign process. 

Analytics Tools to Guide Data-Driven Design

1. Google Analytics:

Use case scenario: Website Audit, Research, Analysis, and Technical Assessment
Usage: Find popular sites, entry/exit points, and metrics related to user engagement by analyzing traffic sources, user demographics, and behavior flow. Recognize regions of friction or pain points by understanding user journeys. Evaluate the performance of your website, taking note of conversion rates, bounce rates, and page load times.

2. Hotjar:

Use case scenario: Research, Analysis, Heat Maps, User Experience Evaluation
Usage: Use session recordings, user surveys, and heatmaps to learn more about how people interact with the website. Determine the high and low engagement regions and any usability problems, including unclear navigation or form abandonment. Utilizing behavior analysis and feedback, ascertain the intentions and preferences of users.

3. Crazy Egg:
Use case scenario: Website Audit, Research, Analysis
Usage: Like Hotjar, with Crazy Egg, you can create heatmaps, scrollmaps, and clickmaps to show how users interact with the various website elements. Determine trends, patterns, and areas of interest in user behaviour. To evaluate various design aspects and gauge their effect on user engagement and conversions, utilize A/B testing functionalities.

4. SEMrush:

Use case scenario: Research, Analysis, SEO Optimization
Usage: Conduct keyword research to identify relevant search terms and phrases related to the website’s content and industry. Analyze competitor websites to understand their SEO strategies and identify opportunities for improvement. Monitor website rankings, backlinks, and organic traffic to track the effectiveness of SEO efforts.

5. Similarweb:
Use case
scenario: Research, Website Traffic, and Demography, Competitor Analysis
Usage: By offering insights into the traffic sources, audience demographics, and engagement metrics of competitors, Similarweb facilitates website redesigns. It influences marketing tactics, SEO optimization, content development, and decision-making processes by pointing out areas for growth and providing guidance. During the research and analysis stage, use Similarweb data to benchmark against competitors and guide design decisions.

6. Moz:
Use case scenario: Research, Analysis, SEO Optimization
Usage: Conduct website audits in order to find technical SEO problems like missing meta tags, duplicate content, and broken links. Keep an eye on a website’s indexability and crawlability to make sure search engines can access and comprehend its material. To find and reject backlinks that are spammy or of poor quality, use link analysis tools.

7. Ahrefs:
Use case scenario:
Research, Analysis, SEO Optimization

Usage: Examine the backlink profiles of your rivals to find any gaps in your own backlink portfolio and possible prospects for link-building. Examine the performance of your content to find the most popular pages and subjects that appeal to your target market. Track social media activity and brand mentions to gain insight into your online reputation and presence.

8. Google Search Console:

Use case scenario: Technical Assessment, SEO Optimization
Usage: Monitor website indexing status, crawl errors, and security issues reported by Google. Submit XML sitemaps and individual URLs for indexing. Identify and fix mobile usability issues, structured data errors, and manual actions that may affect search engine visibility.

9. Adobe Analytics:
Use case scenario:
Website Audit, Research, Analysis,
Usage: Track user interactions across multiple channels and touchpoints, including websites, mobile apps, and offline interactions. Segment users based on demographics, behavior, and lifecycle stage to personalize marketing efforts and improve user experience. Utilize advanced analytics features such as path analysis, cohort analysis, and predictive analytics to uncover actionable insights.

10. Google Trends:

Use case scenario: Content Strategy, Keyword Research, User Intent Analysis
Usage: For competitor analysis, user intent analysis, and keyword research, Google Trends is used in website redesigns. It helps in content strategy, seasonal planning, SEO optimization, and strategic decision-making. It directs the production of user-centric content, increasing traffic and engagement, by spotting trends and insights.

About the Author:

Vijendra is currently working as a Sr. UX Designer at Mantra Labs. He is passionate about UXR and Product Design.

Cancel

Knowledge thats worth delivered in your inbox

Loading More Posts ...
Go Top
ml floating chatbot