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Technology Trends in 2023

In the past couple of years, we have witnessed revolutionary breakthroughs in technology. In a post-pandemic world, anything is possible. Technology will continue to influence how we live and work in 2023. As more products and services include artificial intelligence (AI) and machine learning (ML), they become smarter and more capable of carrying out jobs that were previously solely performed by humans. 

Here are some trends that will shape 2023:

  1. Web3/Blockchain: The blockchain ledger is being utilized in various contexts, including the protection of patient data, accelerating transaction times, reducing digital fraud, and more. By 2030, according to a report by Statista, the market is projected to grow by a CAGR of 82.8% touching $1,235.71 billion. 
  • Asset Tokenization: It is anticipated that some sectors, like healthcare and finance, may choose private blockchains in the years to come due to the requirement for greater security and privacy. The BFSI, retail, travel & hospitality, healthcare, IT & telecom, and media & entertainment are the different market segments for tokenization. The BFSI industry is anticipated to hold the most significant market share for tokenization in 2023. The expansion of this market is attributed to the rise in payment security solutions adoption and data breaches in the BFSI industry.
  1. Web AR: Some benefits of using Augmented Reality in business are boosting sales, minimizing returns, increasing customer engagement, collecting data on customer preferences, and providing a contactless experience. Users can now virtually try clothes and jewelry before purchasing on websites like Candere and Hazoorilal with the help of Web AR. Beauty and wellness platforms like Nykaa and Purplle let one try on lipstick shades digitally before purchasing them. Leading eCommerce portal for eyewear Lenskart allows customers to try on different frames virtually to choose the right one. Web AR is also used in education, taking the learning process to another level. It can be used to understand complex study models. For eg: Medical students can study human anatomy and even train for surgery on it.

Luminaire, a German-based aggregator of in-home and office lighting solutions partnered with Mantra Labs to create an AR model through paper catalogs, hand sketches, technical/2D drawings, and an interactive product database for products with electrical, luminous, & mechanical specifications.

  1. Adaptive AI: Unlike conventional AI systems, adaptive AI can modify its own learning strategies to account for changes in the actual world that weren’t anticipated when the system was created. By 2026, Gartner predicts that businesses that have implemented AI engineering methods to create and oversee adaptive AI systems will outperform their rivals in terms of the quantity and speed of operationalizing AI models. 

Hitee, Mantra Labs’ industry-specific AI-driven conversational chatbot helps insurance enterprises with customer onboarding by creating workflow automation, ticket queuing, etc.

  1. Metaverse: According to Forbes, the metaverse will contribute $5 trillion to the world economy by 2030, and 2023 will be the year that determines the metaverse’s course for the following ten years. Further, it says that by 2023, we’ll have more immersive meeting spaces where people can collaborate, develop, and create things. 
  • Education and learning: Mesh is a mixed reality collaboration and communication platform by Microsoft for staff, faculty, and students to interact using 3D avatars. 
  • Banking and finance: Metaverse in banking is reaching new heights. From any place, the banking metaverse provides a 360-degree picture of actual banks. One can still use their laptop or mobile device to access Metaverse banking even if they don’t own a VR headset.
  • Healthcare: Patients and doctors can communicate in virtual 3D clinics under the umbrella of telemedicine and telehealth, a notion made popular by the Metaverse after the pandemic. Another example is the Metaverse-powered Digital Twin technology, which enables the creation of a patient’s digital representation for the purpose of testing therapies and medications.
  1. Predictive analytics in Logistics: Playing a significant role in logistics by enabling businesses to foresee demand, anticipated delivery dates, and optimize the supply chain, the predictive analysis will result in quicker deliveries, less waste, and cheaper prices.

Hwy Haul, a California-based freight brokerage startup, partnered with Mantra Labs to create a portal to track their freight from booking to end a carrier portal to manage their fleet and drivers, an OPS portal to manage operations and backend systems, and a driver mobile app to deliver conveniently.

Key takeaways:

Technology has always been evident in every ecosystem. However, with the advent of AI and data analytics, one can expect a rather structured, sustainable, and creative take on things. While existing technologies continue to serve and enhance the customer experience, one will witness new ideas and experiments to promote a convenient and conscious lifestyle.

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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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