Try : Insurtech, Application Development

AgriTech(1)

Augmented Reality(20)

Clean Tech(9)

Customer Journey(17)

Design(45)

Solar Industry(8)

User Experience(68)

Edtech(10)

Events(34)

HR Tech(3)

Interviews(10)

Life@mantra(11)

Logistics(5)

Manufacturing(1)

Strategy(18)

Testing(9)

Android(48)

Backend(32)

Dev Ops(11)

Enterprise Solution(31)

Technology Modernization(8)

Frontend(29)

iOS(43)

Javascript(15)

AI in Insurance(38)

Insurtech(66)

Product Innovation(58)

Solutions(22)

E-health(12)

HealthTech(24)

mHealth(5)

Telehealth Care(4)

Telemedicine(5)

Artificial Intelligence(149)

Bitcoin(8)

Blockchain(19)

Cognitive Computing(7)

Computer Vision(8)

Data Science(23)

FinTech(51)

Banking(7)

Intelligent Automation(27)

Machine Learning(47)

Natural Language Processing(14)

expand Menu Filters

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.

Cancel

Knowledge thats worth delivered in your inbox

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.

Cancel

Knowledge thats worth delivered in your inbox

Loading More Posts ...
Go Top
ml floating chatbot