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Why Should Businesses Migrate To Digital Claims Management Process?

The Insurance industry is experiencing tectonic shifts across consumer expectations and process digitalization.

As digital adoption increases for Indian customers, the expectations and corresponding digital experiences that companies need to cater to are also on the rise. The collaboration between insurers and insurtech is critical to bring in the next era of Indian Insurance, especially with the renewed emphasis of GOI and IRDAI towards increasing the number of insured in India. As per a recent BCG report, there has been a 7X growth in global funding for the insurtech industry over the last 5-6 years. Making it essential that collaboration between insurers and insurtechs continues seamlessly.

While companies have been introducing digital touchpoints across the customer lifecycle, a major chunk of focus remains on the pre-purchase and purchase stages of the journey. Amidst rising customer acquisition costs, companies must provide efficient solutions to enhance the experience in the claims and renewal stages of insurance. 

Understanding Insurance Claims Process

Claims processing involves the activities that an insurance company carries out to verify a claim request. During the process, an insurance agent, known as an adjuster, checks information accuracy and provides the claim amount. 

The claims process includes five important steps:

  • Insured informing the insurance company 
  • Initial claims investigation
  • Policy check
  • Claims calculation
  • Payment Terms and Settlement

Based on a survey conducted by SPS Global, 59% of policyholders were dissatisfied with their claims handling. Digital claims processing introduces digital touchpoints to improve the claims customer journey. And, making the process more time and cost-effective for insurers while boosting the overall customer experience. This is why businesses should migrate to digital claims management.

How would a company benefit from the Digital Claims Process?

  1. Faster Claims Processing – The traditional claims process has a long cycle and friction due to multiple physical and digital touchpoints. The verification process involves multiple teams which would be tough to coordinate in a manual setup. Digital channels make it easier to collaborate and settle claims faster.
  2. Reduced Duplication of Effort – Digital means help streamline the operations by leveraging a single unified portal for the teams involved in the process. Providing clear action items, timelines, and statuses for each stakeholder, the platform helps reduce business costs. 
  3. Improved Fraud Detection – AI-powered fraud detection systems help reduce the chances of fraud significantly. Companies such as TagX and DataTrade provide extensive data sets to help insurance companies develop and train their own algorithms and models. 
  4. Higher Customer Satisfaction – Amidst an unfortunate scenario, the insured would prefer minimal delays, simplified processes, and quick settlement. Digital claims processing not only helps speed up the process but also personalizes it for the user. Eventually, the service and support provided boost customer satisfaction and renewal rates. 

A digital future is imminent in every industry today. While the insurance sector remains relatively low in terms of digital maturity. Leaders and Early Adopters will continue to have an edge in attracting and retaining customers.

We’ve listed down potential use cases for the digital claims process which can help companies kick-start their digitalization journey as well. 

  1. Self-Service Insurance Portals – Modern customers require cohesive omnichannel support. Portals that allow users to file and track their claims as well as reach out for further assistance are preferred. A Gartner study observed that 85% of initial customer service interactions start with a well-suited self-service portal. And, technology disruptor, Whatfix claimed that 44% of insurance users would jump to another company if they can’t have control over their claims process. 

Indian Insurtech firm Go Digit allows its customers to file their health insurance claims through their website or mobile application. They provide assistance through videos, faqs, and call assistance to their users. 

Source: www.godigit.com

  1. Conversational Chatbots – The 24×7 available online assistant helps customers with queries and claims assistance without putting them in a long queue. Mostly embedded in a self-service customer portal or the insurance website, conversational tools use AI and Sentiment Analysis to answer customer queries in the most responsive way possible. 

Mantra Labs recently worked with Ageas Federal on a “Claims with Empathy” process to help reimagine messaging and nudges in case of an insurance claim. 

Our conversational tool Hitee offers insurance customer support in multiple local languages to ensure ease of access and understanding to its users. 

  1. Remote Claims Estimation – Leveraging mobile cameras to take a visual estimate of damage incurred on the insured object, assess the extent of damage remotely, and provide an estimate to the insured instantaneously. Helping lower the claim cycle and reduce cost per claim. 

InsurTech companies such as Lemonade and MUA Insurance offer telematics-based apps, which help users file claims through their app, get instant roadside assistance, and provide settlements faster with AI-driven algorithms. Altoros provides a Car Damage Recognition API that leverages computer vision to determine the extent of damage in case of an accident.

Conclusion

The digital transformation of a company’s claims function lies in the redesign of its customer claims journey – Where the changes are not piecemeal solutions or interactions, but a reimagining of how the end-to-end journey will be actionized, perceived, and experienced. As companies begin their journey toward digital claims processing, they need to understand and deliver the core value that users gain from digitalization. 

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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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