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5 CX trends that will define the Indian Banking Experience in 2023

3 minutes read

Banks initially began as trusted entities that would act as custodians of their customers’ wealth and channel them toward growth opportunities that would aid in growth and prosperity for all. Cut to 2023, that promise alone does not suffice. The modern account holder holds banks to a higher standard and has little to no tolerance for banks with poor customer experience (CX). 

Over the years, CX has gone from being a frill to an essential component that can have a colossal impact on the bottom line for banks. For 2023, incorporating these trends into workflows will help banks pull ahead of their competitors by a significant margin. 

Applied Analytics

Blake Morgan, a notable customer experience futurist noted that 2023 will be a year of reckoning for brands as rising inflation and thrifty spending will up the ante on brands to satisfy their customers. With a trough of data at their disposal, banks are uniquely positioned to apply all of these insights into architecting a bespoke CX that will signal their commitment to their account holders in these trying times.

Automated Onboarding

One of the greatest challenges that India currently faces is the huge gap between the banking experience in urban and rural areas. With close to 70% of the Indian population being concentrated in these areas, it is vital for banks to design a frictionless and delightful customer onboarding experience that will bring these people into the fold. Such a solution would decrease staffing costs in the long run and translate to more customers in urban areas in light of the fact that over a quarter of banking customers would rather not step into a branch at all.

Hyper-Personalization

An eternal feature that has been topping CX trend lists for years, hyper-personalization will continue to pay off in 2023 as few banks have even attempted to get this right. Boston Consulting Group’s (BCG)’s finds on personalization revealed that when done right, it can result in a 10% increase in annual revenue uplifts till the time competitors catch up. 

As open-banking models start to take off and Indian banks become comfortable with experimentation, hyper-personalized services could serve as a key differentiator for both incumbents and upstarts alike. ABN Amro, one of Europe’s leading banks partnered with Subaio, a Danish fintech firm to offer personalized loans. 

Going Phygital

Much has been written about India’s demographic dividend and the implications it has on global economic prospects. With the world’s youngest cohort of millennials and GenZ alike, Indian banks are at the cusp of a massive demographic change that could be the opportunity of a lifetime. By revamping the bank branches to work with smartphones, banks can ‘humanize’ their systems to provide a wholesome, truly immersive banking experience that gives account holders the best of both worlds. JP Morgan Chase’s decision to open a new digital banking unit in the U.K. is an example of combining the trust of an established bank with the conveniences offered by a neobank.

AI goes deeper

As chatbots start to become a staple in customer service workflows, the next step would be to integrate AI across all customer touchpoints to enable better self-service, quicker resolution, and lower servicing costs. For instance, ICICI bank’s virtual assistant is primed to analyze voice queries to deliver instant solutions, point to appropriate areas, or escalate to a support executive if the need arises.

A Year of Reckoning

2023 will be all about resilience, innovation, and focus as central banks all over the world begin to raise interest rates and tighten expenditures in a bid to curb inflation. For banks, the only way to grow through this crisis is to correct technological debt, digitize relentlessly, and build a razor-sharp focus on their customer experience.

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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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