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How chatbots are changing the digital Indian

3 minutes, 39 seconds read

Chatbots have come a long way – from a hyped technology under the AI umbrella to a direct-to-consumer product, that has incessantly penetrated the tech-enabled services we use today. While the adoption of chatbots is still in its infancy, the proliferation and mushroomed effect it has had so far is remarkable. Most of us, are perhaps not even aware of how seamless this transition has been – since many now interact with several bots almost everyday!

Nearly 1 in 4 customers have interacted with a brand via chatbots in the past 12 months, according to a Salesforce study published in late 2018.”

Chatbots have permeated the Indian Landscape

In India, like most countries, both businesses and consumers rely on telephone and email as the most preferred channels to conduct business, yet they are also the slowest for quick resolution. The average time-to-resolution using email interactions was reported at 39 minutes while in India it was reported at 2 hours 17 minutes. In addition, global data shows only 49% of problems are solved on the first interaction.

Most people in India (59%) however, still prefer to talk to an actual person for customer service needs. While this is true, customer service experts believe this trend will reverse in the near term. A majority (61%) of “the Digital Indian” or tech-savvy users see the benefits for chatbots in customer service.

How Chatbots are changing the Digital Indian

AI is already providing benefits to e-commerce businesses in India by improving decision making & recommendation systems using machine learning algorithms, while simplifying the product search journey for the customer. When done well, 43% feel chatbots can be almost as good as interacting with a human, revealed a study titled “Efficacy of AI” conducted by digital marketing solutions firm iCubesWire.

Bots among us

Conversant bots have augmented our ability to quickly access information, services, and support – even taking over some of our day-to-day tasks. The passage deeply signifies an unmistakable shift in our digital communication patterns. Here are some well-known instances of chatbots in use, around us.

GoHero

This AI-enabled personal travel agent assists customers in booking flights, hotels, taxis, buses etc. It integrates with messaging apps to use sophisticated algorithms to understand traveller’s preferences and is available across nine platforms such as Facebook Messenger, Telegram & Skype.

Aisha

A voice assistant (similar to Siri, Google Assistant) by Micromax performs daily tasks like initiating a google search, fetching movie reviews, making calls, reading news articles, view stalk market details and more. The Handset Speech Assistant with AI integrated into its backend is gently becoming an accepted, must-have tool for the average consumer.

Lawbot

A customer facing AI application that automates specific legal tasks that would otherwise require extensive legal research. It analyses and reviews legal documents, like contracts or agreements, and identify problems in them in seconds – saving customers valuable time and money.

FitCircle

This health and fitness chatbot offers its users personalised weight-loss workouts, yoga guides and nutrition guides. The AI empowered fitness companion, called ‘Zi’, helps the Digital Indian achieve fitness goals through custom-fit workouts and diets.

Oheyo

Formerly Prepathon, Oheyo helps students (the digital Indian of the future) prepare for exams, by connecting them to experts anywhere. It messages students the subject of the day, answers queries and additionally sends across motivational messages. They also provide a video Q&A platform through which students can find a lot of their queries answered and archived for later use.

Skedool

Skedool’s ‘Alex’ is a B2B smart assistant, that excels at automating repetitive everyday tasks for business executives, sales and recruiting professionals. It handles B2B scheduling activities and calendar management. The AI assistant uses natural language processing and machine learning supervised by humans to enable customers to communicate with the service via e­mail just as they might with a human assistant.

Hitee

A one-of-a-kind chatbot with voice, video, and multilingual features. It’s custom NLP-powered workflow builder solves a number of purposes like operations, HR, IT, logistics, and more.

While these are just a few highlighted examples, there are many more in use across the country, each with a unique use case and problem it is trying to solve. For example, Aapke Sarkar – a chatbot (developed by Haptik) launched by the Maharashtra Govt. for people to access information regarding public services in the state, in Hindi or Marathi; or the bot introduced by IRCTC called ‘AskDisha’ (Digital Interaction to Seek Help Anytime) that helps railway passengers access customer services support in multiple regional languages and even voice-enabled chat.

Bots and The Digital Indian

The Indian chatbot industry, although still in its nascent form, is a $3.1B market, according to analysts. The market, in the coming years will evolve to a point where interactive and intuitive AI will become the bare standard for customer service across a variety of sectors.

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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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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