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How chatbots are changing the Insurance sector – Five examples

Insurance chatbots are the new buzzword ruling the insurance companies currently. The primary objective of a chatbot is to provide a faster and an efficient system for communication with the customers and streamline the tedious insurance tasks. The insurance sector is playing hard to automate their on-boarding, sales and training processes and make it available for the hand-held devices. But, the significant issues still lies with the sales force management where customers are a lot more aware, and the insurance products are more sophisticated and specific. A chatbot is the real game changer when it comes to salesforce management and revolutionizing the Insurance processes.

Here is a list of a few examples of how IT is transforming the insurance:

1. Virtual customer representative:

The typical scenario of the manual customer care system goes like putting the customer on hold with a constant background reminder that you need to wait for a few more minutes as our customer representative is on another call. It has always been a turn off for a customer because it is annoying, time-consuming and lacks efficiency. Insurance chatbots are here to put an end to these tiresome phone calls. Chatbot act as a virtual customer representative who is available at all the times. With the help of natural processing and artificial intelligence, they process the customer’s queries in just a few seconds with a personalized response. The total number of queries that can be handled by insurance chatbots is incomparable to the real customer care support.

2. Saving costs:

Business insider has predicted that implementation of insurance chatbots can save up to $12bn of labor costs.  Insurance firms often invest a massive amount of money in recruiting, training and mentoring a workforce to make it eligible for the insurance processes. Leveraging the benefits of AI, and natural language processing and developing the agent, and customer chatbots can help to save substantially on these costs.

3. Better understanding with the customers:

  When it comes to insurance then it is the most intimidating sector for the customers. 72% of the people are of the belief that they are not able to decipher the Insurance jargons used by insurance companies. It doesn’t give them a clear picture of what they are getting into when buying an insurance plan which makes them quite skeptical about investing in insurance. Chatbot is a great way to provide the straightforward answers to the customers and make them understand better.

4. Cut-down redundant processes:

The excessive paperwork involved with insurance lifecycle needs a dedicated workforce to manage it. Not just insurance agents but even the customers dread it. Chatbots together with AI make these processes much faster and easy that saves a lot of time. Though this is still in the nascent stages of development, it will be one of the key advantages of insurance chatbots in the future.

5. Providing customized solutions:

  Customers can get solutions tailored to their needs instantly through chatbot. They will need to provide information like their salary, savings, what are they looking for in the insurance plan, duration and an automated insurance solution based on those inputs is presented to them. Apart from that they can also set renewable insurance dates, access their documents online, set reminder with the help of Insurtech Chatbot implementation.

Though there has been a surge in the use of Chatbots for insurance, still it has a long way to go. InsureTech responsible for implementation of IT in insurance companies needs to come up with more effective solutions to make the customer engagement a lot more pleasant and user-friendly.

Start your chatbot journey with Mantra Labs today. Know more https://www.mantralabsglobal.com/

References:

https://www.streebo.com/blog/how-ai-powered-chatbots-changing-insurance-sector/

https://venturebeat.com/2018/06/19/why-insurance-companies-are-betting-big-on-ai-powered-chatbots/

https://www.streebo.com/blog/chatbot-insurance-industry-chatting-betting-high-on-smart-bots/

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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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