With Gen AI coming into the picture, banks are leveraging AI to not only streamline their back-end processes but also provide hyper-personalized experiences and enhance customer engagement. According to McKinsey Global Institute, gen AI could add $2.6 trillion to $4.4 trillion annually in value with banking predicted to have one of the largest opportunities.

In this article, we’ll explore how banking apps are leveraging AI to transform the banking industry and revolutionize CX in 2024.

The Rise of Banking Apps

According to a study by the Federal Reserve, 53% of smartphone users have used mobile banking in the past 12 months, and this number is expected to continue to rise. As more customers turn to banking apps for their financial needs, banks are under pressure to provide a seamless and personalized CX to stay competitive.

How AI is Revolutionizing CX in Banking Apps

Personalized Recommendations and Insights

One of the key ways that AI is transforming CX in banking apps is through personalized recommendations and insights. By analyzing a customer’s financial data, AI algorithms can provide personalized recommendations for financial products and services that best suit their needs. This not only helps customers make more informed decisions but also increases the likelihood of cross-selling and upselling for banks.

AI can also provide valuable insights into a customer’s spending habits, allowing banks to offer personalized budgeting and financial planning tools. This not only improves the CX but also helps customers better manage their finances.

With Gen AI’s capability to summarize and contextualize documents from ample unstructured data, those working within customer contact functions can get a more comprehensive view saving their time and effort and thus improving their efficiency.

Chatbots for 24/7 Customer Support

Another way that AI is enhancing CX in banking apps is through the use of chatbots for customer support. Chatbots are AI-powered virtual assistants that can communicate with customers in natural language, providing quick and efficient support. They can handle a wide range of inquiries, from basic account information to more complex issues, without the need for human intervention.

By using chatbots, banks can provide 24/7 customer support, improving the overall CX for customers. This also reduces the workload for human customer service representatives, allowing them to focus on more complex inquiries.

Fraud Detection and Prevention

AI is also playing a crucial role in fraud detection and prevention in banking apps. By analyzing a customer’s spending patterns and transaction history, AI algorithms can identify suspicious activity and flag it for further investigation. This not only helps banks prevent fraud but also provides customers with peace of mind knowing that their accounts are being monitored for any unusual activity.

Predictive Analytics for Better Decision-Making

AI-powered predictive analytics is another way that banking apps are leveraging AI to enhance CX. By analyzing a customer’s financial data, AI algorithms can predict future spending patterns and provide insights for better decision-making. This can help customers plan for major purchases, budget more effectively, and make informed investment decisions.

The Future of AI in Banking Apps

Voice-Activated Banking

As AI technology continues to advance, we can expect to see more voice-activated banking features in the future. Customers will be able to use their voice to check their account balance, make transfers, and even apply for loans. This will provide a more convenient and hands-free way for customers to manage their finances.

Hyper-Personalization

With the help of AI, banking apps will be able to provide hyper-personalized experiences for customers. This means that every aspect of the CX, from product recommendations to customer support, will be tailored to the individual customer’s needs and preferences. This will not only improve the CX but also increase customer loyalty and retention.

Advanced Fraud Detection and Prevention

As AI technology continues to evolve, we can expect to see more advanced fraud detection and prevention measures in banking apps. AI algorithms will be able to analyze a customer’s behavior in real-time and identify potential fraud before it happens. This will provide customers with even more security and peace of mind when using banking apps.

Conclusion

AI is revolutionizing CX in banking apps, providing customers with a more personalized, convenient, and secure banking experience. With increasing competition and changing consumer expectations, banks must embrace AI to stay competitive and meet the evolving needs of their customers. With the advancements in AI technology, we can expect to see even more innovative features and improvements in the CX of banking apps in the future.

Smart Manufacturing Dashboards: A Real-Time Guide for Data-Driven Ops

By : Divyanjali Gupta

Published on Jul 31, 2025

Data Science Manufacturing Analytics Smart Manufacturing

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

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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