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Redefining Customer Experience in Shared Mobility

3 minutes read

BlaBla car-a community-based travel network claims to have enabled over 90 million members to share a ride across 22 markets. Shared mobility which began in the 1940s in Switzerland has now become an essential part of our everyday lives. Numerous micro-mobility solutions, like Yulu, Bounce, and Rapido, are everywhere now.

According to Frost & Sullivan, the Indian shared mobility industry is expected to witness nearly four-fold growth. Revenues will touch $42.85 billion by 2027, growing at a CAGR of 25.3%.

Why do businesses need to redefine user experience in shared mobility?

As we move into the experience economy, customer experience (CX) will play a vital role in retaining customers and acquiring the new segment-Gen Z. Zoomers or Gen Z are the most advanced, tech-savvy audience who rely on technology. They want a great digital experience to stay loyal to their favorite brands. They are quick to express on social media what they experience and feel about- be it good or bad. Right after the offices re-opened a few months ago, Uber and Ola users complained on social media about rides getting canceled. To minimize the possibility of cancellation, Uber started enabling drivers to view drop-off locations prior to accepting the rides.

Keeping in mind the evolving customer preferences and expectations, companies are constantly working on redefining customer experience in shared mobility. Chalo– a mobility startup offers live bus tracking and a live passenger indicator showing how crowded the bus is in real-time. Quick Ride offers people carpooling along with a Taxi/Cab app for local, airport, and outstation travels. This points out that enhancing customer experience has become a significant factor for shared mobility organizations to retain their customers. And it seems that the businesses operating in this ecosystem have a myriad of possibilities to grow. Here’s why:

  1. Higher demand for shared mobility in Remote Areas: Pandemic has brought in work-from-home culture worldwide. People who migrated to their home towns in tier 2 and 3 cities want shared mobility options to commute. Digital literacy in rural areas in the last two years has gone up. Number of internet users in India may reach 800 million by 2023, reveals McKinsey report. This will create more demand for shared vehicle services in remote areas. 
  1. Increase in Traffic Congestion: As the offices have reopened, so has the traffic congestion on roads. India’s shared mobility sector is expected to touch nearly 15 crore users by 2025, according to the Redseer report. Higher disposable income, inadequate public transport, and the demand-supply gap will drive this growth.
What do customers want in shared mobility space?

EV (Electric Vehicle) ecosystem in India

EV ecosystem which is now in its nascent stage will evolve within the next few years. The government has been promoting EVs across the nation with the goal of achieving 50% vehicle electrification by 2030. Key players like Uber, Ola, and Vogo are planning to switch to electric vehicles. There’s already a long queue for Ola bikes amongst customers. The company recently announced to bring Ola electric car on the road by 2023.

Yulu is a mobility app to book & track trips, monitor bike health, report bike issues, check personal stats, and win rewards. Mantra Labs built a scalable platform for Yulu, enabling a scalable and easy-to-use app for users to access bike-sharing services. Consumers can check personal health stats (calories burnt), distance covered and amount of carbon emissions saved for each trip.

The Future:

Redefining customer experience in shared mobility space is the need of the hour. We are heading towards an intelligent and connected world. Future automobiles will be more smarter than ever before. Recently, California regulators gave a nod to robotic taxi services to charge passengers for driverless rides in San Francisco. Tesla has been working on building autonomous vehicles for future customers. Given India’s massive population and infrastructural gap, it is difficult to say if autonomous vehicles would be feasible on Indian roads for now. But this may be possible in the future. As of now, the biggest challenge for companies is figuring out how to make the rider experience seamless, safe, convenient, and economical. 

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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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