A brilliant idea is where it all starts from. Consider a dedicated news advisor delivering relevant information based on your personal reading habits, without you having to sort it. This does sound fascinating and luckily it’s already here, in theHotifyAvatar.WhatHotifyis – It’s an Intelligent Information Discovery Engine designed to cater the needs of each individual content consumer.
Hotify’s goals are clear, delivering high quality information to its users based on their personal reading habits and requirements. It serves the purpose well, by being one step ahead of the competition using the principles or AI and Machine Learning. What does this help with? You may ask, it addresses the problems faced by users due to the large amount of information floating on the Internet. The platform learns, calibrates and then delivers you the content you need, all possible via Machine learning & A.I based development.
“Machine Learning is the core of Hotify. All our theories, algorithms translate into Machine Learning based algorithms to deliver personalized content to our users. Right from a simple probability model of what users would love to read in general, to a complicated graph based deduction of what the users would like to read next or now, is all driven using Machine learning as a tool. It is very similar to a giving a dedicated news assistant for every user as we evolve the product”
– Ankur Dinesh Garg(Founder, Hotify)
The process of gathering efficiently sorted information where the user doesn’t have to make the effort of choosing which publication or topic to follow, and by eliminating manual curation it cuts down the delay between relevant news getting out and reaching the user, this is done byData Science.
Hotify is partnering withMantraLabsto solve the data science problem and make sense of the huge stacks of data. This is being done by processing the collected data through AI Engine to learn the preferences for user and providing relevant content. The more you use the system the smarter it becomes in providing relevant news items.
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.
Key Takeaways: Smart Manufacturing Dashboards at a Glance
Aspect
What You Should Know
1. Why Static Reports Fall Short
Delayed insights after issues occur Disconnected systems (ERP, MES, sensors) No real-time alerts or embedded decision logic
2. What Real-Time Dashboards Enable
Track OEE and downtime in real-time Predictive maintenance using sensor data Dynamic inventory heat maps Quality linked to operators
3. Dashboards That Drive Action
Role-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 Dashboards
Unified 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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