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The Perfect Combination: Gen Z’s Emergence and the Dominance of Mobile Banking

GenZ, or the iGeneration or Post-Millennials, refers to the demographic cohort born between the mid-1990s and early 2010s. As digital natives, GenZ has grown up in a world dominated by technology and has unique expectations when it comes to mobile banking. 

In 2022, Business Insider estimated Gen Z’s spending power to be over $360 billion in disposable income, a sizeable amount that will only increase in the years ahead. 

This article aims to understand the attitudes, wants, and triggers that drive GenZ users and how they impact mobile banking platforms.

Brand Values

GenZ users hold high regard for social justice. They care about the world’s issues, be it environmental or social, and are willing to put their money where their hearts are. In a survey by Publicis Sapient, 67% of Gen Z consumers said they were interested in investing in sustainability organizations, and 35% were willing to invest in those organizations – even at the cost of lower returns.

Concerned about the ethical practices of brands, they are well-educated about the realities behind them and know how to access information quickly. If a brand advertises diversity but lacks diversity within its own ranks, for example, Gen Z is likely to notice and may choose to walk away from that brand. 

What does this mean for banks and the mobile apps? Well, banks offer services to a wide variety of people. They need to ensure that their messaging, policies, and practices are in line with the changing times. Be it focusing on vernacular languages to accommodate diverse cultures, voice assistance, low-data usage modes, or even ensuring their marketing banners and push notifications are sanitized with empathetic content.

User Experience

With the luxury of growing up in a technologically advanced world compared to the early years of Millenials or Boomers, GenZ is quick to understand and use new tech products. Exposed to content with high-quality visuals early on, they expect a user-friendly interface and seamlessly crafted digital journeys.

Mantra Labs recently proposed improving the mobile buyer journeys for a leading travel and hospitality firm, where we saw that modern designs supported with clarity and convenience helped boost user retention.

Hyper-personalization is another customer-centric trend that sees growing importance among young users. With the availability of customer data for targeted campaigns and product recommendations, banks need to focus on leveraging data insights to deliver more personalized offerings as and when the customer is most likely to need them. A more profound attempt to understand the customer is also expected to be appreciated by the users.

We recently helped SBI General Insurance build a first-of-its-kind personalization tool that functions as a primary risk advisor for users. Leveraging gamification, interactive mobile UI/UX designs, and advanced analytics.

Some of the pointers that banks should keep in mind while designing their mobile applications include –

  1. Creating a mobile-first approach with responsive design
  2. Biometric authentication (fingerprint or facial recognition) for quick sign-ins while maintaining security measures
  3. Ease of navigation and discovery to reduce search time
  4. Non-intrusive soft nudges and triggers to motivate user engagement

Features and Functionalities

A tech-first GenZ leverages multiple features in its mobile banking app daily. With several successful applications going the super app way, users expect mobile applications to offer various features and functionalities that help them manage their financial needs. 

Some 84% of Gen Zers and millennials surveyed by shopping website Klarna said the profusion of smartphone technology had helped them to manage their money effectively. And 63% also said that technology allows them to oversee all of their finances better. 

According to a study on Digital Banking Attitudes by Chase Bank in 2023, Gen Z users performed most of their non-banking tasks, such as goal tracking, budgeting, and checking credit scores on mobile devices. 

An interesting observation about the interest in money management was the time spent on finance news and educational videos that young users consumed during the pandemic. Global Wireless Solutions (GWS), a Dulles, Virginia-based network benchmarking and analysis firm, said all consumers increased their use of finance apps during the pandemic, but this was especially true of members of Gen Z, who doubled the time they spent checking their finances on their phones, spending 127% more time specifically looking at their investments than they did before the pandemic.

Mobile banking applications would benefit from having certain features in their applications to boost usage –

  1. Budgeting and expense tracking features
  2. Goal setting and savings tools
  3. Financial education resources and tips
  4. 24/7 customer support via chatbots

Conclusion

Understanding the wants and needs of GenZ when it comes to mobile banking is crucial for banks and financial institutions to stay relevant and attract this tech-savvy generation. From aligning brand values with what the demographic group resonates with to providing user experiences in line with the best-in-class applications and ensuring the appropriate features and functionalities are present and efficiently used within the application, we can help banks meet the expectations of GenZ and build long-lasting relationships with this demographic.

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Smart Machines & Smarter Humans: AI in the Manufacturing Industry

We have all witnessed Industrial Revolutions reshape manufacturing, not just once, but multiple times throughout history. Yet perhaps “revolution” isn’t quite the right word. These were transitions, careful orchestrations of human adaptation, and technological advancement. From hand production to machine tools, from steam power to assembly lines, each transition proved something remarkable: as machines evolved, human capabilities expanded rather than diminished.

Take the First Industrial Revolution, where the shift from manual production to machinery didn’t replace craftsmen, it transformed them into skilled machine operators. The steam engine didn’t eliminate jobs; it created entirely new categories of work. When chemical manufacturing processes emerged, they didn’t displace workers; they birthed manufacturing job roles. With each advancement, the workforce didn’t shrink—it evolved, adapted, and ultimately thrived.

Today, we’re witnessing another manufacturing transformation on factory floors worldwide. But unlike the mechanical transformations of the past, this one is digital, driven by artificial intelligence(AI) working alongside human expertise. Just as our predecessors didn’t simply survive the mechanical revolution but mastered it, today’s workforce isn’t being replaced by AI in manufacturing,  they’re becoming AI conductors, orchestrating a symphony of smart machines, industrial IoT (IIoT), and intelligent automation that amplify human productivity in ways the steam engine’s inventors could never have imagined.

Let’s explore how this new breed of human-AI collaboration is reshaping manufacturing, making work not just smarter, but fundamentally more human. 

Tools and Techniques Enhancing Workforce Productivity

1. Augmented Reality: Bringing Instructions to Life

AI-powered augmented reality (AR) is revolutionizing assembly lines, equipment, and maintenance on factory floors. Imagine a technician troubleshooting complex machinery while wearing AR glasses that overlay real-time instructions. Microsoft HoloLens merges physical environments with AI-driven digital overlays, providing immersive step-by-step guidance. Meanwhile, PTC Vuforia’s AR solutions offer comprehensive real-time guidance and expert support by visualizing machine components and manufacturing processes. Ford’s AI-driven AR applications of HoloLens have cut design errors and improved assembly efficiency, making smart manufacturing more precise and faster.

2. Vision-Based Quality Control: Flawless Production Lines

Identifying minute defects on fast-moving production lines is nearly impossible for the human eye, but AI-driven computer vision systems are revolutionizing quality control in manufacturing. Landing AI customizes AI defect detection models to identify irregularities unique to a factory’s production environment, while Cognex’s high-speed image recognition solutions achieve up to 99.9% defect detection accuracy. With these AI-powered quality control tools, manufacturers have reduced inspection time by 70%, improving the overall product quality without halting production lines.

3. Digital Twins: Simulating the Factory in Real Time

Digital twins—virtual replicas of physical assets are transforming real-time monitoring and operational efficiency. Siemens MindSphere provides a cloud-based AI platform that connects factory equipment for real-time data analytics and actionable insights. GE Digital’s Predix enables predictive maintenance by simulating different scenarios to identify potential failures before they happen. By leveraging AI-driven digital twins, industries have reported a 20% reduction in downtime, with the global digital twin market projected to grow at a CAGR of 61.3% by 2028

4. Human-Machine Interfaces: Intuitive Control Panels

Traditional control panels are being replaced by intuitive AI-powered human-machine interfaces (HMIs) which simplify machine operations and predictive maintenance. Rockwell Automation’s FactoryTalk uses AI analytics to provide real-time performance analytics, allowing operators to anticipate machine malfunctions and optimize operations. Schneider Electric’s EcoStruxure incorporates predictive analytics to simplify maintenance schedules and improve decision-making.

5. Generative AI: Crafting Smarter Factory Layouts

Generative AI is transforming factory layout planning by turning it into a data-driven process. Autodesk Fusion 360 Generative Design evaluates thousands of layout configurations to determine the best possible arrangement based on production constraints. This allows manufacturers to visualize and select the most efficient setup, which has led to a 40% improvement in space utilization and a 25% reduction in material waste. By simulating layouts, manufacturers can boost productivity, efficiency and worker safety.

6. Wearable AI Devices: Hands-Free Assistance

Wearable AI devices are becoming essential tools for enhancing worker safety and efficiency on the factory floor. DAQRI smart helmets provide workers with real-time information and alerts, while RealWear HMT-1 offers voice-controlled access to data and maintenance instructions. These AI-integrated wearable devices are transforming the way workers interact with machinery, boosting productivity by 20% and reducing machine downtime by 25%.

7. Conversational AI: Simplifying Operations with Voice Commands

Conversational AI is simplifying factory operations with natural language processing (NLP), allowing workers to request updates, check machine status, and adjust schedules using voice commands. IBM Watson Assistant and AWS AI services make these interactions seamless by providing real-time insights. Factories have seen a reduction in response time for operational queries thanks to these tools, with IBM Watson helping streamline machine monitoring and decision-making processes.

Conclusion: The Future of Manufacturing Is Here

Every industrial revolution has sparked the same fear, machines will take over. But history tells a different story. With every technological leap, humans haven’t been replaced; they’ve adapted, evolved, and found new ways to work smarter. AI is no different. It’s not here to take over; it’s here to assist, making factories faster, safer, and more productive than ever.

From AR-powered guidance to AI-driven quality control, the factory floor is no longer just about machinery, it’s about collaboration between human expertise and intelligent systems. And at Mantra Labs, we’re diving deep into this transformation, helping businesses unlock the true potential of AI in manufacturing.

Want to see how AI-powered Augmented Reality is revolutionizing the manufacturing industry? Stay tuned for our next blog, where we’ll explore how AI in AR is reshaping assembly, troubleshooting, and worker training—one digital overlay at a time.

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