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7 Important Points To Consider Before Developing A Mobile App

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Are you developing an application? Don’t you know what must be considered before starting?

Let’s start with an example – You have an idea to develop an application but you don’t know whether it actually will get good response from users or not. The first step is that your idea should be unique that has never been implemented previously.

Even if you develop an app that has never been developed, what is the guarantee that users will download and use? Even if they download what are the possibilities of using your app in a right way?

Don’t worry, here are the few strategies, if you follow these strategies before starting an app, you will surely succeeded.s01(5)(1)

Let’s take a look on strategies that should be considered:

1. Target
You should know who you are targeting. Suppose you are going to develop an application related to education then you should categorize education levels into different groups based on their ages and education level. So it is easy for the user to select right option in your app based on his/her education level. So know who you are targeting.

2. Speed
Your app should respond as quickly as possible. If it’s showing waiting or loading user will be irritated. No one wants slow apps. Suppose, user wants to check movie tickets availability and app is taking more time to show results, when your results are displayed finally, it shows all tickets are sold; because of time constraints what you will do? Obviously, next time you will go for other alternatives. So, speed should be considered important while developing an app.

3. Number of downloads
Always focus on developing something that can be used by almost everyone. You never want to create an app that has a limited usage to a specific class, rather focus on making it more public and something that is used by all. With that, also make sure you’re your app has that extraordinary feature that compels users to start using it, the moment they download it.

4. Include Social media
Connecting your app with social media has one biggest advantage, which might not be wise to avoid. If you integrate your developed app with social media such as Facebook, Twitter, or LinkedIn, then more social media users will know there is such an app that exists, leading to more downloads.infographic-mobile-app-design-its-the-rule-of-thumbs(1)

5. Competition
Your app should compete with other play store apps. So you should think about, how do you develop an app which is different from others and why users should download this. Suppose if you are developing an ecommerce application, try to automate some features like auto filling data, OTP entering etc. So that it would be easy for users would feel less trouble and will get a good impression of an app.

6. Make it simple and avoid loads of features
If you are planning to load your app with way too many features, then it is not a good idea. You don’t want a unique features that can turn out to be bad. You don’t want users to give feedback that it is “messy”, “too much to do”, “still discovering its features”, “didn’t understand the app completely even after a month of download” etc. Instead go with easy features or user friendly features, which would compel users to use your app.  Surely you want to see good reviews on the review page.

7. Add customizing feature
Users love customizing features. Adding a few customizable features will make your app more appealing in comparison to an app that cannot be customized. Users should be capable of getting everything they choose, even if it’s an app. In fact, a customizable app are more in demand.

Mantra Labs deep dives into latest trends and innovations in the Web, Mobile, Enterprise and Internet of Things space. The insights generated from these studies helps us provide more value for our clients.

Guest Blog by Ravi Teja – our rockstar Android developer.

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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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