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The three Vs of today’s chatbots: Voice, Vernacular and Video

3 minutes, 28 seconds read

More than 70% of consumers in Australia, the UK and France and over 50% in the US and Germany report interacting with chatbots at least once during the last year. A recent study by Forrester states that 57% of the organizations globally are already using chatbots indicating the organizations’ affinity towards helpdesk and customer support automation.

In today’s time, where meeting people face-to-face to close deals is dubious; chatbots with voice, vernacular (multilingual), and video emerge as a savior. Especially for SMEs, where persuasion plays a key role in signing a contract, chatbots with video conferencing features and local language support can make conversations more seamless.

Let’s delve deeper into the voice, vernacular and video conferencing features of chatbots and their use cases.

Voice-enabled chatbots

Voice-enabled chatbots or simply voice chatbots can interact with users via text or voice commands. Based on the input command type (voice/text), these bots reply to the user accordingly. 

In India, nearly 30% of Google searches made in 2019 were voice-based. Moreover, Google Assistant recognizes Hindi as the second-most utilized language for voice globally. Chatbots enabled with voice add accessibility to a wider range of customer base. Voice-based conversational chatbots add speed to processing the command as it need not wait for the user to type the query. 

Businesses like beauty & spa, healthcare, travel, FMCG, Restaurants, and many more can use voice-driven chatbots to answer customer queries and automate their helpdesk tasks.

Vernacular language support or multilingual chatbots

A study by KPMG and Google reveals that the native Indian language user base will reach 536 million by 2021. The study conducted in 2017 highlights some of the most critical internet challenges faced by the Indian diverse populace:

  • 70% of Indians face challenges in using English keyboards.
  • 60% of Indians find limited language support to be the barrier to adopting digital technologies.
  • 88% of users are more likely to respond to a digital advertisement in their local language as compared to English.
  • Nearly 25% of the Indian language internet users face challenges concerning the use of e-commerce payment interfaces, leading to dropouts at the time of final checkouts.

The above data indicates the need for multilingual support in any customer-facing application. In fact, by next year, nearly 75% of internet users in India would be a vernacular content user base. Brands like Godrej have already started leveraging regional language on its website. Multilingual chatbots can personalize conversations and make the technology more adaptable to the native users. 

Indian chatbots like Hitee (designed for Indian SMEs) support several Indian regional languages including Hindi, Tamil, Bengali, Telugu, Gujarati, Kannada and Malayalam.

AI Chatbot in Insurance Report

AI in Insurance will value at $36B by 2026. Chatbots will occupy 40% of overall deployment, predominantly within customer service roles.
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Video conferencing chatbots

In the backdrop of COVID-19 pandemic, travel restrictions will pertain long. Therefore, most of the personal interactions will be made through video conferencing software. Video bots vs video conferencing software: For a growing business, scheduling/setting up meetings for every customer can be tedious. Especially when the meetings are regarding product demo, sampling, FAQs, it completely makes sense to opt for automation. This way, business owners can release their time for critical business decisions.

For example, manufacturing businesses/wholesalers can record the product demo, include them into the chatbot workflow and relieve themselves of the routine demonstrations.

Usually, private clinics maintain a register/excel for noting down the appointments of the day. Then, they switch to a platform that supports video chats (WhatsApp, Skype, Google Duo, Zoom) to consult patients. Missing an appointment/patient record, communication gap, etc. are very common in this scenario. 

Thus, private healthcare practitioners can use chatbots to schedule appointments automatically and converse with patients through the same chatbot interface. 

Similarly, stockbrokers, wealth managers, legal consultants, finance service providers, tour operators, and tax consultants can use video conferencing chatbots for different levels of engagement with their clients. 

Read more: Conversational Chatbots for SMEs to continue business from home

Enterprise chatbots can integrate with the organization’s workflows to make them capable of routing customer queries to relevant teams/agents whenever the need arises. Bots with video conferencing features can extend support to Video KYCs by automating document collection and verification processes using in-built facial recognition mechanisms. This can help businesses (BFSI, NBFC) speed-up their customer onboarding process.

Need a chatbot for your business? Check out Hitee — a Make-in-India conversational chatbot that coverts 5X more leads!

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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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