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Conversational Intelligence: The Next Big Thing In Customer Experience

2 minutes 30 seconds read

Conversational AI is the technology that makes human-computer conversations emotionally intelligent, and less scripted. It allows AI-led chatbots to interact with people in a human-like manner, thereby keeping this human-computer interaction as natural as possible, yet high on its emotional quotient.

Conversational AI is trained to comprehend and engage in contextual dialogue using Natural Language Processing (NLP) and additional AI algorithms.

Conversational AI is one among a few other new-age technologies that continue to emerge on the scene including augmented intelligence, edge AI, data labeling, and explainable AI.

How Conversational AI helps with better CX? 

Conversational AI uses a combination of natural language processing (NLP), machine learning (ML), speech recognition, natural language understanding (NLU), among other language technologies to process and contextualize voice or text messages and accordingly respond with the most suitable answer. 

Through NLP, the computer can ascertain the intents and entities of the customer on the other end, while identifying statistically significant patterns that it has been trained on. This enables it to learn your business needs and get smarter with time, thus helping a more evolved customer experience. 

Why is it important to invest in Conversational AI?

Gartner had predicted that, by the year 2020, customers would manage 85% of their interactions with businesses without interacting with a human. It’s predicted that in the upcoming decade, basic automation and apps will be replaced with advanced AI technologies with an objective to improve the overall customer experience metric by proactively gauging the customer’s needs and intent and engaging on an emotional level. 

An increased amount of AR and VR innovations across industries are set to be the norm by 2025 as part of an expected customer experience offering. 

“The greatest advantage of having a conversational AI solution is the instant response rate. Answering inquiries within an hour means 7X greater probability of converting over a lead. Clients are bound to discuss a negative encounter than a positive one,” reports AnalyticsInsight.net. 

Image Courtesy: www.kore.ai

Conversational AI in Insurance 

Conversational AI is an ideal addition for service, healthcare, insurance organizations to name a few, as it helps with helping support agents streamline their work, take after-call notes in the CRM system, or complete the missing details that will help by building a seamless customer service system. The technology also helps predict or react to changing call patterns and/or any real-time guidance the agent might require. 

Additionally, customers can first engage in self-service aided by conversational intelligence to save time, improve efficiency and get the desired results sooner. While rebranding Care Health Insurance’s (erstwhile Religare) website and app, Mantra Labs deployed Hitee, their AR-based virtual support that helped with the first-level solution for the customer and in turn, led to higher New Business Conversions by a factor of 10X and an overall drop in customer queries over voice support by 20%.  

2021 Customer Support Trends Report says that inferior customer experience costs companies at least $62 billion annually. 56% of support leaders shared that their current chatbot implementations don’t carry intelligent tools in this report, and customers are increasingly demanding convenience from businesses they interact with. 

Intelligent chatbots make apps simple, and more human to use. Their USP is to create device-agnostic experiences across channels, thus becoming a key factor in driving intelligent customer experiences. 

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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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