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Why Do We Need a New Banking Ecosystem for Gig Economy Workers?

The emergence of the gig economy in India represents a profound shift in the nation’s workforce. Unlike traditional employment, where workers receive consistent salaries and benefits, gig workers engage in temporary, flexible jobs. According to a report by the Boston Consulting Group and Michael & Susan Dell Foundation, gig workers constitute nearly 90 million in urban India and have shown consistent growth.

India’s gig economy is burgeoning, with an estimated workforce of 15-20 million workers. It’s a space where innovation thrives but is often juxtaposed with financial challenges, especially concerning banking facilities.

Gig Economy Banking is a critical aspect that requires attention, given the unique financial challenges faced by these workers. This blog post explores the banking needs of India’s gig economy, examining the issues and proposing solutions to bridge the gap with salaried employees.

Gig Economy Workforce: Solopreneurs and LLPs

Solopreneurs are self-reliant entrepreneurs operating without a traditional team. Examples include independent consultants, artists, or online retailers. Limited Liability Partnerships (LLPs) on the other hand combine features of partnerships and corporations and are prevalent among small to medium businesses in legal, architectural, and tech sectors. Although they contribute a lot to the economy, the banking facilities at their disposal are lackluster and inefficient. Let’s analyze their pain points in comparison with salaried employees and established businesses respectively.

For Solopreneurs

Access to Credit: While salaried employees usually have easier access to credit based on stable income proofs, only 23% of solopreneurs have access to formal credit systems.

Minimum Balance Requirements: Salaried accounts often come with low or no minimum balance requirements. In contrast, solopreneurs face higher requirements, limiting their banking options.

Interest Rates and Loan Terms: Higher interest rates and stringent loan terms are common for solopreneurs due to perceived risks.

For LLPs

Regulatory Compliance: Unlike larger registered businesses, LLPs face complex and cumbersome regulatory compliances, impacting 40% of LLPs in India in 2018.

Credit Facilities: Even though LLPs contribute significantly to the economy, banks are often hesitant to extend the same credit facilities offered to larger corporations.

Business Banking Features: LLPs often lack access to customized business banking features that are usually available to registered businesses, such as specialized loans, overdrafts, or merchant services.

A 2020 study by the Indian government revealed a significant gap in banking facilities offered to the gig workforce compared to traditional salaried employees and registered businesses:

  • Low Minimum Balance Savings Account: 75% of salaried employees have access to this, compared to only 28% of solopreneurs.
  • Credit Facilities: 60% of registered businesses avail themselves of credit lines, while only 15% of LLPs have similar access.

This disparity emphasizes the need for reformation in the banking sector to cater to the unique needs of solopreneurs and LLPs, who are equally vital in contributing to the economic fabric.

Contribution to the Economy

Both Solopreneurs and LLPs play a vital role in India’s economic landscape.

Often innovators and trendsetters, solopreneurs contribute significantly to various sectors like IT, design, and consulting. In 2019, they were responsible for 20% of India’s freelance revenue, translating to nearly $1 billion.

Thereafter, acting as a flexible structure for entrepreneurship, LLPs allow businesses to thrive without the constraints of a corporate framework. They play a vital role in the growth of small and medium enterprises (SMEs), comprising over 10% of India’s GDP.

Need to Address Banking Pain Points

The banking challenges faced by Solopreneurs and LLPs are not mere inconveniences but barriers that can stunt economic growth. 

Access to Finance: Lack of tailored financial products leads to a restricted flow of credit, hindering growth opportunities. According to RBI’s report, only 10% of small businesses in India have access to formal credit channels.

Modern Banking Facilities: The absence of personalized banking solutions equivalent to those offered to salaried employees and larger corporations adds to operational difficulties.

Regulatory Hurdles: Complex compliances can deter LLPs from seeking formal banking relationships, pushing them towards informal lending sources.

Initiatives and Solutions

Despite several initiatives aimed at addressing the banking challenges of solopreneurs and LLPs, the current solutions are still falling short. Government schemes like MUDRA and bespoke banking products from financial institutions have made some progress but haven’t completely bridged the gap.

The existing banking paradigm fails to recognize the unique financial needs of the nearly 90 million gig workers in India, who constitute a significant force in the economy. Traditional banking models are largely incompatible with the flexible and temporary nature of gig work, leading to hurdles in credit access, regulatory compliance, and modern banking facilities.

The urgency to build a new banking ecosystem for gig workers is underscored by their substantial contribution to the economy and their growing presence in the workforce. This ecosystem should include:

  • Tailored Financial Products: Design banking products specifically for gig workers, considering their inconsistent income streams and unique operational needs.
  • Flexible Regulatory Framework: Streamline regulations to facilitate easier compliance for smaller entities, thus making formal credit more accessible.
  • Technology Integration: Utilize fintech solutions to provide seamless digital banking experiences tailored to the needs of gig workers.
  • Collaboration with Gig Platforms: Partner with platforms that engage gig workers to develop customized financial services that align with their working patterns.

What Role Does Tech Companies Play Here?

Tech companies can be the bridge that connects traditional banking to the unique needs of the gig economy. Since banking is largely digitized these days, the new ecosystem for gig workers will be on the Internet. There comes the need to integrate the latest technologies and solutions to provide the best customer experience.

Mantra Labs developed ezetap’s Universal Payment Solution is a vivid example in this case. It is a secure interface that facilitates digital transactions across various touchpoints. This innovation reflects how tech solutions can tailor banking systems to suit the diverse needs of the gig workforce.

The growth of Solopreneurs and LLPs in India is a testament to the country’s entrepreneurial spirit. However, their unique banking challenges call for targeted solutions that understand and cater to their specific needs. With a combination of government initiatives, bespoke banking products, and technological innovation, there’s a pathway to creating a more inclusive financial ecosystem.

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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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