Try : Insurtech, Application Development

AgriTech(1)

Augmented Reality(21)

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(6)

Manufacturing(5)

Strategy(18)

Testing(9)

Android(48)

Backend(32)

Dev Ops(11)

Enterprise Solution(33)

Technology Modernization(9)

Frontend(29)

iOS(43)

Javascript(15)

AI in Insurance(41)

Insurtech(67)

Product Innovation(59)

Solutions(22)

E-health(12)

HealthTech(25)

mHealth(5)

Telehealth Care(4)

Telemedicine(5)

Artificial Intelligence(154)

Bitcoin(8)

Blockchain(19)

Cognitive Computing(8)

Computer Vision(8)

Data Science(24)

FinTech(51)

Banking(7)

Intelligent Automation(27)

Machine Learning(48)

Natural Language Processing(14)

expand Menu Filters

What’s going to be big in chatbots for 2019

The chatbot market is predicted to reach a whopping 1.25 billion US dollars by 2025. These figures are not just mind-boggling, but they are proof that shows the relevance of chatbots today. Also, 45% of end users have already got comfortable with chatbots, and they prefer chatbots over other media for communication.

Chatbot in 2019

So, we can expect that by 2019 chatbots will reach another level of accuracy and efficiency. Here are the trends to watch out for chatbots in 2019:

1. Intelligent systems:

Chatbots are the future of impeccable customer service. But to make it at par with human customer support it needs to be super interactive and smart. Companies deploying chatbots are continually working on optimizing their bots so they could be an equal replacement for a human counterpart. It is predicted that in the next few years conversational AI-first” user experience, or CUX,  will become mainstream in most organizations. CUX is an advanced version of UI  which is designed to help and improve the user experience so that they can reach their end goals faster.

2. The rise of website chatbots:

By the next year, one can expect that several small, as well as medium-sized businesses who have not yet implemented chatbots, will look forward to adopting it. The emergence of third-party companies that help the organization to develop and build the industry-specific chatbots at affordable prices has made the adoption of bot technology easier. Chatbots are a great source to enhance the user experience and provides a 24*7 customer support as such all businesses need it.

3. Stricter guidelines:

The crux of chatbots is DATA and more data. The introduction of GDPR guidelines this year has made the usage of data restricted. Even with stricter guidelines, the importance of data will not plummet, and it will only increase.  The companies will need to find responsible methods of data processing so that they adhere to the new guidelines and develop GDPR-compliant solutions.

4. Chatbots beyond customer support:

The coming year will witness the use of chatbots for several more processes such as the B2B and B2E business workflows. Some existing examples include the chatbots for CRM, Intranet and IT help desks. As cited by a leading company Juniper Networks that chatbots can reduce the business costs by $8bn by 2022 and 2019 will witness some fantastic advancements in that direction.

5. Mobile app saturation:

The mobile app market is saturating, and in the coming years, it is said that 50% of companies will focus their resources and finances on chatbots rather than mobile apps.

Reasons why chatbots are more preferred than mobile apps:

    Chatbots are more efficient and intelligent and are a better way to reach customers.

    Smartphone users do not want to exhaust their limited memory space with unlimited applications.

    75% of Smartphone users use some messaging app.

    The UI elements of an application or a website is a collection of information. If all of this can be packaged together and provided in a messaging app, it will be much easier for the users. Wouldn’t it be great if you can manage everything from booking a movie ticket to buying groceries through a single interface?

    Also, chatbots do not need a download you need to message them through a messaging app and ask them to perform a function.

We cannot ignore the immense benefits that chatbots have to offer. The exploration around chatbots is unlimited, and we will see them unravelling one at a time. The experience that chatbots provide whether it is finding a travelling location or getting information is super smooth and comfortable. The personal touch that chatbots offer is another plus point that makes chatbots a perfect fit for businesses.

Cancel

Knowledge thats worth delivered in your inbox

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.

Cancel

Knowledge thats worth delivered in your inbox

Loading More Posts ...
Go Top
ml floating chatbot