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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 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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