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How is AI extending customer support during COVID-19 pandemic

4 minutes, 14 seconds read

With over 3 million confirmed cases of COVID-19 throughout the world and more than 200,000 deaths to date since the first report; coronavirus has spread wreaking havoc on any back-office operation, and more intensely on call centers throughout the globe.

For a couple of years now, organizations have only been theorizing the possibility of AI to enhance customer support. It was always a thing that could wait. However, now AI is proving to be a pressing matter over other priorities, and organizations are ready for widespread development than perhaps assumed.

Improved Customer Satisfaction

From banking to travel to finance; given reduced staffing and limited work-from-home options, the call center agents are overwhelmed by the influx of calls; for which the consumers are facing long latencies. These circumstances can, in turn, lead to a huge strain on the workforce and the industry as well. As businesses struggle to cover an increase in call volume, according to an old adage “necessity is the mother of invention.”, AI-enabled customer support has come to rescue. 

“People want what’s best for them, and they can switch on a dime because there’s always a new disruptor disrupting the last disruptor. So companies should just strive to keep changing and adapting to their customers’ needs.”

Ben Chestnut, Co-founder & CEO of MailChimp

AI has the capability of revolutionizing the relationship between a company and it’s clients. 64% of consumers and 80% of business buyers said that they want companies to interact with them in real-time. AI in customer support today can provide significant cost saving, triage calls on priority, volume elasticity, and meet customer expectation; that will eventually benefit the business in the long term.

Primary Concerns

Due to the pandemic outbreak and prolonged lockdown periods in several countries, businesses are forced to transition to work from home models. However, companies are not in favour of giving access to sensitive data to its employees outside the office premises. Along with privacy concerns, there are mobility concerns with the call center operations. Theoretically, technology can simplify mobility solutions. In a developing country like India, where only 2-3% of people use wired broadband and the majority of users rely on mobile data, uninterrupted internet connection is a real struggle.

“Now more than ever, customers need fast responses and AI and Automation can help”

Gadi Shamia, CEO of Replicant.

AI in Customer Support

Artificial intelligence in customer service is extremely useful to answer FAQs and resolve common customer support issues without the presence of a live agent. It can classify calls on the basis of options, business priorities and suggest solutions to the consumer according to their specific needs. Unlike the generation-old IVRs, the AI-enabled customer service, powered by NLP, shall understand the customer’s needs and allow him to converse as if he was speaking with a live agent. 

With the rising number of COVID-19 cases, customer queries at hospitals are increasing exponentially caused by high demand in consultation. To adapt to the situation, hospitals are turning to chatbots and virtual assistants. Here are some interesting use cases of AI in customer support bots.

Lili

Vozy’s Lili, is a conversational AI platform that provides customer assistance by alleviating pressure due to high call volume.

WHO Health Alert chatbot

The World Health Organization (WHO) has launched a dedicated messaging service, the WHO Health Alert chatbot to provide the latest news and information on COVID -19.

Read: How is technology helping to combat coronavirus pandemic?

Illinois

In partnership with Google AI, Quantiphi and Carahsoft created a 24/7 AI-enabled customer service bot, Illinois to provide immediate assistance to the filers with the FAQs.

Hitee

Hitee is the world’s first insurance specific chatbot solution. It allows integrating document processing workflows, ticket management systems, etc. to further simplify and automate customer support. Apart from 10x increasing customer interaction, Hitee also brought in new business leads and renewals for an eminent insurance company, Religare.

The crux

One fit for all is a myth now, even in customer support. AI-powered bots are proving to be revolutionary in customer support when it comes to customization of User Experience. Companies like Amazon, Starbucks and Netflix are implementing AI to track and analyse customer data and provide quick and easy resolutions to the customer problems. It also provides companies with deeper insights into the product based on demographic gender and various other factors.

AI-powered bots are capable of providing 24 X 7 customer support, more importantly after working hours and holidays. They prove to be not only cost-effective but also scalable throughout the enterprise. 

Customer support is the mainstay of any business. In these testing times, every call centre is under intense pressure due to the pandemic outbreak. Since customer expectations are higher than ever businesses are looking for advanced technological capabilities to bridge the gap. By adding AI-powered tools in customer support operations, businesses can not only improve customer experience but also have numerous business implications such as lower customer churn, higher revenues, less staff turnover and increased growth. If you need interfacing software for your specific business needs, please feel free to write to 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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