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How RPA will revolutionize the IT processes

Robotic Process Automation(RPA) is a software that is designed to mimic the human back-office activities, especially for the repetitive and dreary tasks. RPA can perform these tasks at a higher pace effortlessly and effectively saving a lot of time, that can be used to perform other activities that need human strength like emotional intelligence, reasoning and customer interactions. The primary goal of RPA implementation is to streamline the tedious tasks of enterprises and automate as many processes as possible while leveraging the benefits of AI and machine learning tools.

Companies are adopting RPA to reduce the staffing costs and mitigate chances of human errors. The scope of RPA and the extent to which it can be customized is pretty extensive. It can be programmed to perform simplest of the tasks like sending an automated email to performing complex business processes.

Here are the few ways in RPA is revolutionizing IT processes:

1. Adoption in all the realms of organization:

Organizations are adopting RPA not just for internal processes but also for external and customer-oriented processes. For example, the auto-response feature for the incoming emails is one field where RPA implementation can offer excellent productivity output. Several companies have already implemented RPA, and it has proven its potential, encouraging other firms also to embrace process automation.

2. Integration with other tools:

RPA implementation is a rich area for innovation and companies has already realized that they can reap more significant benefits from RPA when integrated with other technologies. In the next few years, one can expect that RPA together with cognitive automation will be capable of performing more complex tasks that are possible only by humans today. The term RPA might be replaced by SPA (smart rule automation) which lays the foundation of smarter business processes or intelligent automation process.

3. Artificial intelligence:

The basic RPA implementation by companies involves automation based on pre-defined conditions. The future version, i.e. RPA 2.0 will be integrating the concepts of AI and other machine learning tools making RPA much more than just a rule-based automation technology. To what extent it will get revolutionized will solely depend on the needs of individual organizations but the impact of RPA on the business processes is expected to be huge.

4. Capabilities of Bots:

Bots are capable of using the operating system just like humans. They can be programmed to open an email and send a response or log into an application or create files and folders. They can further be made to do data processing and perform functions like making calculations, following if-else conditions, extracting data from documents, scraping data from the web and a lot other things.

Types of RPA:

    Attended Automation:  They are deployed at places where automation is possible but with human intervention. The assigned user will launch the bot to perform several functions automatically based on some pre-defined conditions.  In case of an anomaly, the bot may ask the user for assistance.

    Unattended automation: They work in the background and are best for back-office employees. Most of these bots are triggered when new data is entered into the system and needs data processing for marketing and regulatory needs.

    Hybrid:  Both the attended and unattended automation are combined for the front as well as back office operations. It helps to attain end-to-end automation of processes.

The hula-boo around RPA is not meaningless and is of utmost importance for all the enterprises. Where big firms are already preparing for the next level of automation other companies are also not hesitating to take the plunge into the RPA pool.  In the next decade, RPA will not just be a fancy term but will become the conventional need of the businesses.

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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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