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Designing for Web 3.0

3 minutes 46 seconds read

We’ve discussed blockchain, Metaverse, and  Mixed Reality in our previous blogs showcasing perspectives from different industries on how this virtual world is helping businesses to boost customer experience.

But in order to give an exceptional user experience, it is imperative to know what its target audience wants in terms of design. What will be the role of design in web 3.0 and what will be the challenges in creating a good design for these users?

Since the 1990s the internet world has evolved three times: web 1.0 (1990-2004), web 2.0(2004-Current), & Web 3.0 ( New ). 

Web 3.0 includes modern internet technologies such as blockchain, cryptocurrency, non-fungible tokens (NFTs), & Metaverse (AR, VR & Mixed Reality). 

Web Trends

The newer target customers – millennials and Generation Z (also known as Internet Generation) are living in Web 3.0. Their life revolves around technology. What they want is a smarter and more intelligent experience. In the world of Web 3.0, customer experience (CX) is based on user recommendations, automatic chatbots, and advanced search results leveraging machine learning, improved connectivity etc. 

Comparison between Web 2.0 and Web 3.0

Image Credit: Navdeep Yadav 

Renowned companies like JPMorgan Chase, HSBC, Gucci, Coca Cola are dabbling in the Metaverse.

“According to citi report, the Metaverse could be an $8-13 trillion dollar market by 2030.”

Metaverse Taxonomy

Metaverse taxonomy

Why should you care about ‘Web 3.0’ when designing?

Traction follows the money. That is why huge companies are interested in it. In order to give a web immersive experience to the current audience, we need to understand how designers can create web 3.0 experiences for the audience.

Web 3.0

Design is at the forefront of global transition with a newer set of customer expectations driving the market. The challenges in designing for the metaverse (VR, AR & MR) are numerous, as there is no clearly defined solution. Here are a few points to keep in mind while designing for Web 3.0 users:

Design for Blockchain: For the design industry, there is no clarity about how designers can adapt to web3.0 trends for giving a better user experience. However, some industry leaders suggest that to develop a web 3.0 site, one must first understand blockchain technology from a design perspective, such as the challenges this technology can present. Because the audience is not aware of the blockchain’s advantages & limitations. 

Designers can create web experiences by considering: visitors’ attention, simplifying complex elements, designing unique visual elements, maintaining a brand identity, and other things.

Design for VR: When a designer creates a VR experience for the users it is necessary to create a good immersive experience. Even though there is no final standard design guideline in the industry, what can be useful while designing is understanding people and the platform you design for, visualizing the interaction keeping user convenience at the center, considering head tracking, preventing motion sickness, and creating a guideline for the user.

Design for AR: While designing for AR, understanding the actual problem and ensuring that AR is the right channel to solve the problem, with clear business and user objectives is necessary. Another important thing is to understand the hardware capabilities. When you start designing the visual, don’t limit yourself to rectangles because in the AR experience users have a complete real-world environment.

Design for MR: Mixed Reality is a great change in the new internet world & designing for Mixed reality is a challenging job for designers. You can consider some UX principles while designing,

  • Provide your users with instinctual interactions through hand, eye, and voice inputs,
  • Learn how to interact with holograms at close range with a user’s hands or at long range with precise interactions,
  • Use voice commands as input in your immersive apps to control surrounding holograms and environments,
  • Add a new level of context and human understanding to a holographic experience by using information about what your users are looking at

Conclusion:

According to Gartner, 25% of people will spend at least one hour a day in the metaverse for work, shopping, education, social, and/or entertainment, by 2026. 

Today’s new-age customers feel more comfortable interacting and socializing with their peers in the virtual space and the new internet space is offering immersive experiences to people. This new trend has not been fully adopted by the whole world yet, but the pandemic has accelerated its adoption, and industries and users are looking at Web 3.0 as a new opportunity to transact and interact. To remain competitive, designers need to understand, learn, explore and observe more closely this evolving web world to create a better design for today’s users.

About the Author:

Praduman is a self-taught, passionate designer at Mantra Labs’ UI/UX team. His focus is on designing user-friendly interfaces using human-centered principles. Currently he is exploring how the metaverse affects human psychology. He loves to listen to podcasts and read current affairs.

Want to know more about the latest in Blockchain?

Read our blog: Solana: The next in Blockchain

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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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