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Personalization in Mobile UX

By :
4 minutes read

User experience (UX) for mobile applications is evolving rapidly and becoming more diverse than ever, giving users special experiences for different types of individuals. Instead of providing a single, static user experience for everyone, delivering the right level of element and content, targeting each person on an individual level with appropriate features has become the industry standard. Personalization in mobile UX not only helps in boosting engagement but in building customer loyalty as well in the long run.

For example, something basic like a “cookie cutter push notification” will no longer drive the right amount of engagement. Instead, it will be the “individualized push notification”, which contains user preferences, that will drive the right level of engagement. The Idea of Personalization is to abandon the plain, uniform approach to a wide range of audiences and offer a custom, unique experience to every individual.

Personalization vs Customization?

Mobile App UX

People always tend to get confused between Personalization and Customization of Apps. In simple terms, Personalization is the ability of a business to offer products, and services based on Individual needs without any input from the customer. Customization is something that requires input from the users.

Let us consider a real-life example to explain this better.

  • Customization is something that requires customer input. For example, When you visit Subway and order a Sandwich, you have the option to customize your sandwich by opting for the veggies/sauce preferred by you. This provides a way to customize your food according to your needs.
  • Personalization is something that does not require the customer’s conscious input but it relies on that particular customer’s prior data and does not involve actively taking user inputs. For example, You visit a food delivery app and on the home section, you’re presented with your preferred restaurant list, food that is based on your previous orders, it’s called Personalization.

Let’s have a look at why Personalized User Experiences are vital for the success of today’s Mobile applications.

  • Improved User Retention 

Personalized user experiences could be the deciding factor for a user to continue using your application, stay loyal and not go looking elsewhere. If you have an E-commerce app, it is very important to help the users navigate through the entire process in their preferred manner and make things easily accessible. You could also recommend certain products that suit their interests and needs.

  • Building a Loyal Customer Base 

A lot of people make subconscious decisions like tapping on the ‘Amazon’ App icon when they need to purchase a certain product without even realizing that. This explains the nature of the app and the loyalty shown by the users towards the Brand. This cannot be achieved without a certain level of Personalization for every individual. 

You need to help them meet with their preferred content almost instantly when they open the app. You need to identify and make the most useful features available in the right context and most relevant time. Most important of all, your users should subconsciously acknowledge that the app knows a lot about them and make them attached to the app.

  • In-App Purchases get a Lift

Let’s explain this with an example. We can consider two types of players when it comes to mobile games. The first one would react more to the temptation of in-app purchases like buying new skins, and gears just because they prefer staying loaded and up-to-date all the time. The second type would like to go for an in-app purchase only when their resources are exhausted or when they need to purchase in order to continue playing. These two types of gamers cannot be addressed through a single in-app purchase offer/ journey. This is another very important reason to personalize the experience to boost in-app purchases.

  •  User Feedback to improve the app

User feedbacks are very important to provide personalized experiences. Involving the users in the development process of your app plays a vital role in providing individual users with the best experience. There should be a persistent effort to get user feedback about the app and figure out the pain points that can be addressed. This way, the personalization of your app can be improved with every new update.

Conclusion

It is seen that the “one size fits all” method has long been outdated and irrelevant. Each user is distinct in their aspirations, grief, habits, preferences, demographic aspects, and many other aspects. Personalization in mobile UX is no longer a cherry on top of the cake but has become the key ingredient itself.

About the Author:

Manoj Bhat currently works as a UI/UX designer at Mantra Labs. He is a Computer Science graduate and has been working as a UI/UX designer since then. He is passionate about building beautiful and seamless digital experiences.

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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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