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Business Continuity for Call-Center Operations: Case Study

3 minutes, 39 seconds read

Coronavirus outbreak has led to prolonged lockdown in several countries, which has crippled many back-office operations. The Government of India imposed a nationwide lockdown (currently 40 days). Because of travel restrictions and health concerns, customer queries are increasing exponentially. Companies dependent on call-centres are struggling to deploy work from home solutions and their business continuity plans. 

Most companies are not prepared for work-from-home arrangements, but there are exceptions. Those with the right strategy and timely action are able to keep their business operationally afloat. Before we delve into the case study, let’s take a quick look at the current situation of call centres.

COVID-19 is testing call-centre businesses. How?

Voice-services are facing a tough time transitioning to a work-from-home model. Companies are not willing to allow access to private and sensitive data outside of the protected office premises. 

Teleperformance, a specialized omnichannel customer experience management company, was able to allow mobility to only 50% of its employees by the first week of April (2nd week of lockdown). The company aims at managing 66% of operations remotely by mid-April. 

This raises a question — why not 100%?

Most of the companies lack the digital infrastructure and a rigid business continuity plan. For instance, the airline business relies heavily on call-centres. After coronavirus outbreaks and resulting lockdowns, most of the call-centres failed to respond to increasing customer queries. To continue communication with customers and support them in whatever ways possible, many airports turned to social media. Delhi’s Indira Gandhi International Airport had over 3.5 million social media engagements during the period.

But, what’s the major limiting factor for adopting virtual call-centre models?

Virtual call-centre adoption challenges

Theoretically, technology can simplify call-centre operations with mobility solutions. But mobility requires an uninterrupted internet connection and developing countries like India struggles for it. Telcos are surely rushing to fill the gaps in customer communications; the fact is— only 2-3% of Indians use wired broadband and the majority of users rely on mobile data. 

The Telcos infrastructure here is designed and built to operate on 75% network capacity utilization. But, due to lockdown, many cities are witnessing 90-100% load capacity and circles like Karnataka are stretching beyond 100% capacity. The country’s inadequate telcos facility is also a limiting factor for setting up virtual call-centres.

Migrating from traditional to virtual operations (ensuring workplace mobility) will require moving the core systems to the cloud. During times like this, the frailed supply-chain defies the thought of procuring devices to achieve 100% mobility.

Despite the aforementioned challenges, some voice-service extensive organizations managed to seamlessly implement mobility at work. 

[Related: Enterprises investing in Workplace Mobility Can Survive Pandemics]

Ensuring call-centre business continuity during a lockdown: a case study

India’s Leading Health Insurer— Religare demonstrated its preparedness against the COVID-19 situation. A major part of the insurer’s customer servicing relies on call-centre based communication, which would have become operationally impossible amidst the ongoing lockdown. To respond to this critical situation and remain operationally afloat, Mantra implemented a call-centre mobility solution with quick turn-around time.

In a typical call centre, the team leader manages and supports callers to handle customer queries. Now that the workforce is operating remotely, the critical question before the company was how to make information available to the callers.

A new virtual call-centre (computer telephony/dialer) system was implemented in the organization’s Lead Management System, which manages the complete customer journey. Through this cloud-based solution, the necessary information is always available to the caller, also eliminating dependencies. 

Companies are sceptical to allow access to private data outside of on-premise systems. To ensure information security and privacy, the new call centre application allowed only required caller IPs, service APIs and Dialer APIs for remote access to the platform.

[Related: The impact of COVID-19 on the global economy and insurance]

Merits of the case

40% of businesses do not reopen after a disaster. Of those who do, 25% reopen and fail. The main reason is firms are unprepared to withstand the short and long term effects of severe business disruptions. 

That’s why leaders emphasize on business continuity plans (BCP).
The benefits of BCP abstracts to –

  1. Protecting the safety of employees.
  2. Maintaining customer service by minimizing interruptions of business operations.
  3. Protecting assets and brand.
  4. Preventing environmental contamination.
  5. Protecting the investment and leveraging the chance to survive and thrive post-disaster.

To secure operational continuity, organizations need to proactively invest in digital workplaces that remain virtually uninterrupted even during Pandemics. 

Do you need help in ensuring business continuity? We’re listening to you. Write to us at hello@mantralabsglobal.com.

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Smart Machines & Smarter Humans: AI in the Manufacturing Industry

We have all witnessed Industrial Revolutions reshape manufacturing, not just once, but multiple times throughout history. Yet perhaps “revolution” isn’t quite the right word. These were transitions, careful orchestrations of human adaptation, and technological advancement. From hand production to machine tools, from steam power to assembly lines, each transition proved something remarkable: as machines evolved, human capabilities expanded rather than diminished.

Take the First Industrial Revolution, where the shift from manual production to machinery didn’t replace craftsmen, it transformed them into skilled machine operators. The steam engine didn’t eliminate jobs; it created entirely new categories of work. When chemical manufacturing processes emerged, they didn’t displace workers; they birthed manufacturing job roles. With each advancement, the workforce didn’t shrink—it evolved, adapted, and ultimately thrived.

Today, we’re witnessing another manufacturing transformation on factory floors worldwide. But unlike the mechanical transformations of the past, this one is digital, driven by artificial intelligence(AI) working alongside human expertise. Just as our predecessors didn’t simply survive the mechanical revolution but mastered it, today’s workforce isn’t being replaced by AI in manufacturing,  they’re becoming AI conductors, orchestrating a symphony of smart machines, industrial IoT (IIoT), and intelligent automation that amplify human productivity in ways the steam engine’s inventors could never have imagined.

Let’s explore how this new breed of human-AI collaboration is reshaping manufacturing, making work not just smarter, but fundamentally more human. 

Tools and Techniques Enhancing Workforce Productivity

1. Augmented Reality: Bringing Instructions to Life

AI-powered augmented reality (AR) is revolutionizing assembly lines, equipment, and maintenance on factory floors. Imagine a technician troubleshooting complex machinery while wearing AR glasses that overlay real-time instructions. Microsoft HoloLens merges physical environments with AI-driven digital overlays, providing immersive step-by-step guidance. Meanwhile, PTC Vuforia’s AR solutions offer comprehensive real-time guidance and expert support by visualizing machine components and manufacturing processes. Ford’s AI-driven AR applications of HoloLens have cut design errors and improved assembly efficiency, making smart manufacturing more precise and faster.

2. Vision-Based Quality Control: Flawless Production Lines

Identifying minute defects on fast-moving production lines is nearly impossible for the human eye, but AI-driven computer vision systems are revolutionizing quality control in manufacturing. Landing AI customizes AI defect detection models to identify irregularities unique to a factory’s production environment, while Cognex’s high-speed image recognition solutions achieve up to 99.9% defect detection accuracy. With these AI-powered quality control tools, manufacturers have reduced inspection time by 70%, improving the overall product quality without halting production lines.

3. Digital Twins: Simulating the Factory in Real Time

Digital twins—virtual replicas of physical assets are transforming real-time monitoring and operational efficiency. Siemens MindSphere provides a cloud-based AI platform that connects factory equipment for real-time data analytics and actionable insights. GE Digital’s Predix enables predictive maintenance by simulating different scenarios to identify potential failures before they happen. By leveraging AI-driven digital twins, industries have reported a 20% reduction in downtime, with the global digital twin market projected to grow at a CAGR of 61.3% by 2028

4. Human-Machine Interfaces: Intuitive Control Panels

Traditional control panels are being replaced by intuitive AI-powered human-machine interfaces (HMIs) which simplify machine operations and predictive maintenance. Rockwell Automation’s FactoryTalk uses AI analytics to provide real-time performance analytics, allowing operators to anticipate machine malfunctions and optimize operations. Schneider Electric’s EcoStruxure incorporates predictive analytics to simplify maintenance schedules and improve decision-making.

5. Generative AI: Crafting Smarter Factory Layouts

Generative AI is transforming factory layout planning by turning it into a data-driven process. Autodesk Fusion 360 Generative Design evaluates thousands of layout configurations to determine the best possible arrangement based on production constraints. This allows manufacturers to visualize and select the most efficient setup, which has led to a 40% improvement in space utilization and a 25% reduction in material waste. By simulating layouts, manufacturers can boost productivity, efficiency and worker safety.

6. Wearable AI Devices: Hands-Free Assistance

Wearable AI devices are becoming essential tools for enhancing worker safety and efficiency on the factory floor. DAQRI smart helmets provide workers with real-time information and alerts, while RealWear HMT-1 offers voice-controlled access to data and maintenance instructions. These AI-integrated wearable devices are transforming the way workers interact with machinery, boosting productivity by 20% and reducing machine downtime by 25%.

7. Conversational AI: Simplifying Operations with Voice Commands

Conversational AI is simplifying factory operations with natural language processing (NLP), allowing workers to request updates, check machine status, and adjust schedules using voice commands. IBM Watson Assistant and AWS AI services make these interactions seamless by providing real-time insights. Factories have seen a reduction in response time for operational queries thanks to these tools, with IBM Watson helping streamline machine monitoring and decision-making processes.

Conclusion: The Future of Manufacturing Is Here

Every industrial revolution has sparked the same fear, machines will take over. But history tells a different story. With every technological leap, humans haven’t been replaced; they’ve adapted, evolved, and found new ways to work smarter. AI is no different. It’s not here to take over; it’s here to assist, making factories faster, safer, and more productive than ever.

From AR-powered guidance to AI-driven quality control, the factory floor is no longer just about machinery, it’s about collaboration between human expertise and intelligent systems. And at Mantra Labs, we’re diving deep into this transformation, helping businesses unlock the true potential of AI in manufacturing.

Want to see how AI-powered Augmented Reality is revolutionizing the manufacturing industry? Stay tuned for our next blog, where we’ll explore how AI in AR is reshaping assembly, troubleshooting, and worker training—one digital overlay at a time.

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