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State of Metaverse-based ecosystems in Fin-Tech

3 minutes read

Paris Hilton has a Roblox virtual island where people can buy digital versions of her outfits. Accenture will onboard 1,50,000 new hires using Metaverse. Metaverse has been the talk of the town since Facebook changed its name to Meta. Let’s look at how metaverse-based ecosystems in Fin-Tech is transforming customer experience (CX).

Global metaverse market size will touch $678.8 billion by 2030, witnessing a CAGR of 39.4%, reveals research and markets. CB Insights’ research predicts that metaverse could represent a $1T market by 2030. Industries are working to create a reality in which the physical and digital worlds blend seamlessly. 

Where Fin-Techs are heading to in the Metaverse-based ecosystem?

European bank ABN Amro was the first to open a virtual branch in Second Life created in 2003. Earliest ventures into the metaverse were primarily motivated by branding and visibility which is now shifting to the mainstream. Metaverse application has moved beyond gamification to virtual training and life-like experiences. We’re moving towards a future where digital lives are becoming more important.

Razorfish and Vice Media Group’s new study shows that Gen Z spends more time in metaverse space than older demographics. They develop more meaningful connections to their online identities and want realistic experiences in their virtual life. For organizations, it becomes highly imperative to understand how these customers connect, interact and interface in this virtual space.

According to JP Morgan’s research, the metaverse offers opportunities to:

  • Transact – every year, $54bn is spent on virtual goods, almost double the amount spent buying music. 
  • Socialize – approximately $60bn messages are sent daily on Roblox.
  • Create – GDP for Second Life was around $650m in 2021 with nearly $80m dollars paid to creators. 
  • Own – NFT currently has a market cap of $41bn.
  • Experience – 200 strategic partnerships till date with The Sandbox, including Warner Music Group to create a music-themed virtual world.

Metaverse has limitless opportunities to offer. Let’s look at some of the top use cases of metaverse in the financial industry.

  1. Recently Lynx announced two use cases: a cryptocurrency-based game that allows players to create and earn and sell digital items with financial value, and an “enhanced remittance experience”, a digital meeting space that allows those sending money to loved ones to visit and communicate with them in a “streamlined, entertaining, economical, and secure” manner.
  2. Navi Technologies has unveiled a metaverse-based “Fund of Funds” scheme. The investors will finance Exchange-Traded Funds (ETFs), which will be used to fund metaverse-based companies. The fintech aims to invest $1 billion in total across multiple assets, with a maximum investment of $300 million in a single ETF. The company will issue a NAV unit at a face value of INR 10. For example, a customer investing INR 500 in the plan, will receive 50 units across the ETFs that Navi will be investing in.
Navi Technologies
  1.  JP Morgan is the first bank to open a lounge- Onyx in Decentraland. In the Onyx Lounge, situated in Metaiuku–a virtual replica of Tokyo’s Harajuku shopping area, a tiger roams the first floor, overlooked by a portrait of the bank’s boss Jamie Dimon. And on the 2nd floor, a person’s avatar can watch experts talk about crypto market.
JP Morgan's Onyx
  1. Korean Bank Kookmin introduced a ‘virtual financial town’ that includes three spaces: (1) The financial and business center consists of branches, public relations and recruitment booths, auditoriums, and social spaces. 

(2) The telecommuting center enhances communication and collaboration between telecommuters and office employees. 

(3) A playground for interacting.

Kookmin Banks' Virtual Financial Town

Source: donga.com/news

  1. Bank of America is the first to launch VR training in over 4,300 financial centers. They use VR headsets to practice skills like strengthen and deepen customer relationships, handle difficult conversations, and listen and respond with empathy. “Managers can also detect skill gaps and provide tailored follow-up training and customized counseling to colleagues to further boost performance using real-time statistics,” the bank says.

The Road Ahead

Decentraland operates via its own cryptocurrency called MANA and Sandbox has Sand. Somnium Space has its own asset marketplace where users can choose to ‘live forever. 

The financial sector is facing intense competition in the virtual space. Digital assets and digital currency are becoming increasingly prevalent in the metaverse. Leveraging the meta-world will help financial organizations create a continuum of experience for the users and provide more personalized and engaging interactions in the time ahead.

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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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