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Everything-as-a-Service

We are now living in the age of hyper-convenience, and the market for convenience (as-a-service) is soaring. For the better half of the last ten years, we have swiftly passed into the ‘as-a-service’ economy. The globalization of labour, highly disruptive business models and rapid consumerization have made the transition nearly inevitable. 

The heightened experience of ‘utility’ extends to both consumers and even businesses. From hailing a taxi or buying groceries to quick entertainment and daily productivity tools, everything is/can be made available as-a-service. So how did XaaS get to this point? — where it’s now the preferred operating model of choice for delivering any IT function as a service for consumption.

The ‘as-a-service’ concept is universally understood to be an analogue of cloud computing. It is predicted to be valued at nearly $344B by 2024, growing at 24% over the next five years.

The approach has been around since the ‘60s when SaaS quickly replaced the older ASP (Application System Provider) model. The real reason the ASP model failed? It wasn’t scalable. Gone are the days of buying licensed software products and lengthy on-site installation processes. In contrast, with SaaS, enterprises can buy and pay for what they use. By taking advantage of virtualization and cloud-based scalability — users access the same code base, while their data and customized interfaces are kept separate.


Towards the close of the millennium, Salesforce built the very first complete SaaS product, which is still today — one of the World’s most widely used customer relationship management (CRM) tools. 

Over the next ten years, SaaS quickly decentralized into Desktop; Data; Network; Security; Infrastructure; and Platform-as-a-service. Today, any core business function can be delivered through this model, such as Marketing, Banking, Healthcare, Appliances and Gaming among many others. 

Consumers, in the meantime, have become increasingly familiar with ‘use without ownership’ type of products including movies-as-a-service (Netflix, Hulu); communication-as-a-service (Whatsapp, Snapchat)

While companies like Uber & Grab have leveraged ‘service-as-a-product’ effectively — shifting the balance from car ownership to transportation-as-a-service; others like Joule have moved towards outcome-based pricing where users can subscribe to cars without any time limit.

The essence of XaaS is simply delivering a service over the Internet, rather than on-site. The most efficient way to do this is through the cloud. Being more cheaper and efficient, the cloud services model witnessed mainstream adoption only within the last decade. The real advantage stays the ability for companies to wholly deliver a one-click operation for the end-user. 

Tesla has already disrupted the automobile industry with its radical as-a-service concept: upgrade your car (software) for free, for life! Tesla is also planning to shift to pay-as-you-use models including autonomously renting out your car when you are on holiday. 

Consumers easily get behind this technology because it reduces any ownership risk and encourages more users to try these services at affordable and competitive pricing. This is how and why we have pizza-as-a-service today! Hence XaaS. 

How does XaaS help your business?

There are currently over 5.6 million professional and creative services companies in operation around the world. Technology is constantly evolving the state of how we do business, and the operating models we use today will have to adapt to innovations that disrupt tomorrow.

The Real Impact of XaaS

  1. The Cloud has moved beyond the “hype” realm into a digital must-have for any enterprise. Regardless of the size of the business, the cloud is your best bet for maximum scalability and mobility.

  2. One-to-many is now a customizable relationship, thanks to XaaS models that help you deploy services with precision and speed.

  3. Agile enablement calls for being nimble across software delivery. Create business value through incremental, sustainable, and measurable agility.

  4. Plug and Play allows for maximizing combined services, greater efficiency gains, and uptime — giving your business the autonomy to use services as and when you need.

  5. Resource & Cost-lax operations reduce major overheads by 3-5X by leveraging the right consumption-based models.

The move away from legacy business mechanisms, ties to the resource-intensive effort of shifting from selling products to selling capabilities. If the front office and back office aren’t aligned, the business will struggle to move forward.

Enterprises are increasingly looking to achieve results through as-a-service models—using hybrid delivery—that can be explicitly configured to deliver critical business outcomes in a short turnaround time. 

Talk to us today to learn how we are helping enterprises operate successfully in the digital world. Drop us a line here hello@mantralabsglobal.com   

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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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