Career opportunities and Top Recruiters

  1. Sales and related jobs:

Sales are the main aspect of retail industry. It is an important part of store operations. The important duty of the sales staff is to sell the products to the customers.

Other than sales, the related job involves, sales associate, cashier for receiving payments by cash, check, debit card, or credit card and operating cash registers etc.

The retail staff also discharges duties like preparing displays, making deposits at cash office, taking inventory etc. depending upon their working hours. The retail staff should be well equipped with excellent communication skill. In a very short span of time retail revolution has taken place.

2. Store Manager:

A store manager is the person ultimately responsible for the day- to-day operations or management of a retail store.

All employees working in the store report to the store manager. Store manager is responsible for managing human resource, hiring team, indulging training and development programmes, managing profit and loss of the store, banking, and handling customer complaints.

  1. Visual Merchandiser:

Visual merchandising is the activity of promoting the sale of goods. Visual merchandising is an art intended to increase sales. It is a tool to achieve sales target. It is the art of displaying merchandise in such a manner that appeals to the eyes of the customer.

Visual merchandiser is responsible for merchandising. Creativity is essential to be a good visual merchandiser. Visual merchandising includes window displays, signs, interior displays etc. A combination of colour and theme plays an important role in visual merchandising.

  1. Regional Sales Manager:

A regional sales manager reports to national sales manager. A regional sales manager requires excellent interpersonal and communication skill. A Retail Sales Manager is responsible for the day-to-day operations of a retail store.

They also must have computer skills and be patient with both employees and customers. Retail Sales Managers must be able to motivate and organize their employees.

A retail sales manager must have obtained a degree in marketing, business or communication. Regional managers are responsible for a group of retail stores. They visit stores to observe performance and to help solve problems. Regional managers report store performance to company headquarters and make important decisions concerning employees.

  1. Finance and Accounting:

A retail store requires well run financial department. A financial manager is responsible for keeping the records of accounts of income, paying expenses, maintaining financial records, cash flow control, banking etc. The financial manager must be efficient enough to handle the risk of debts.

  1. Human Resources:

Human resource is one of the most important aspects in retail industry. This aspect focus on recruiting right people for a particular job, because the success of retail depends upon right sales force.

The HR function includes recruitment, selection, training and development programmes, compensation and benefits etc. proper knowledge is require on the part of HR manager to understand qualification and qualities to hire efficient staff. HR function is in dealing with staff grievances and any disciplinary matters.

  1. Logistic:

The logistics process consists of the process of integration of several aspects such as material handling, warehousing, information, transportation, packaging and inventory.

The logistics department is entrusted with the responsibilities of ensuring that the entire process of logistics is maintained and developed in accordance with the goals of the business at an economical cost.

  1. Marketing:

Marketing department includes functions like advertising, sales promotion and public relation. People with specialised knowledge, creativity etc are required.

Advertising managers direct a firm’s advertising and promotional campaign. Marketing managers work with advertising and promotion managers to promote the firm’s products and services.

Guerrilla Marketing

Guerrilla marketing is an advertisement strategy in which a company uses surprise and/or unconventional interactions in order to promote a product or service. It is a type of publicity. The term was popularized by Jay Conrad Levinson’s 1984 book Guerrilla Marketing.

Guerrilla marketing uses multiple techniques and practices in order to establish direct contact with potential customers. One of the goals of this interaction is to cause an emotional reaction in the clients, and the ultimate goal of marketing is to induce people to remember products or brands in a different way than they might have been accustomed to.

As traditional advertising media channels such as print, radio, television, and direct mail lose popularity, marketers and advertisers have felt compelled to find new strategies to convey their commercial messages to the consumer. Guerrilla marketing focuses on taking the consumer by surprise to make a dramatic impression about the product or brand. This in turn creates buzz about the product being marketed. It is a way of advertising that increases consumers’ engagement with the product or service, and is designed to create a memorable experience. By creating a memorable experience, it also increases the likelihood that a consumer, or someone who interacted with the campaign, will tell their friends about the product. Thus, via word of mouth, the product or service being advertised reaches more people than initially anticipated.

Guerrilla marketing is relatively inexpensive, and focuses more on reach rather than frequency. For guerrilla campaigns to be successful, companies generally do not need to spend large amounts of money, but they need to have imagination, energy and time. Therefore, guerrilla marketing has the potential to be effective for small businesses, especially if they are competing against bigger companies.

The message to consumers is often designed to be clear and concise. This type of marketing also works on the unconscious mind, because purchasing decisions are often made by the unconscious mind. To keep the product or service in the unconscious mind requires repetition, so if a buzz is created around a product, and if it is shared amongst friends, then this mechanism enables repetition.

Companies using guerrilla marketing rely on its in-your-face promotions to be spread through viral marketing, or word-of-mouth, thus reaching a broader audience for free. Connection to the emotions of a consumer is key to guerrilla marketing. The use of this tactic is not designed for all types of goods and services, and it is often used for more “edgy” products and to target younger consumers who are more likely to respond positively. Guerrilla marketing takes place in public places that offer as big an audience as possible, such as streets, concerts, public parks, sporting events, festivals, beaches, and shopping centers. One key element of guerrilla marketing is choosing the right time and place to conduct a campaign so as to avoid potential legal issues. Guerrilla marketing can be indoor, outdoor, an “event ambush,” or experiential, meant to get the public to interact with a brand.

Guerrilla Marketing Types

  • Viral or buzz marketing
  • Stealth
  • Ambient
  • Ambush
  • Projection advertising
  • Astroturfing
  • Grassroots
  • Wild posting
  • Street
  • Pop-up retail

Strategy

The guerrilla marketing promotion strategy was first identified by Jay Conrad Levinson in his book Guerrilla Marketing (1984). The book describes hundreds of “guerrilla marketing weapons” in use at the time. Guerrilla marketers need to be creative in devising unconventional methods of promotion to maintain the public’s interest in a product or service. Levinson writes that when implementing guerrilla marketing tactics, smaller organizations and entrepreneurs are actually at an advantage. Ultimately, however, guerrilla marketers must “deliver the goods”. In The Guerrilla Marketing Handbook, the authors write: “In order to sell a product or a service, a company must establish a relationship with the customer. It must build trust and support the customer’s needs, and it must provide a product that delivers the promised benefits”

Online guerrilla marketing

The web is rife with examples of guerrilla marketing, to the extent that many of us don’t notice its presence until a particularly successful campaign arises. The desire for instant gratification of internet users provides an avenue for guerrilla marketing by allowing businesses to combine wait marketing with guerrilla tactics. Simple examples consist of using ‘loading’ pages or image alt texts to display an entertaining or informative message to users waiting to access the content they were trying to get to. As users dislike waiting with no occupation on the web, it is essential, and easy, to capture their attention this way. Other website methods include interesting web features such as engaging landing pages.

Many online marketing strategies also use social media such as Facebook and LinkedIn to begin campaigns, share-able features and event host events. Other companies run competitions or discounts based on encouraging users to share or create content related to their product. Viral videos are an incredibly popular form of guerrilla marketing in which companies film entertaining or surprising videos that internet users are likely to share and enjoy, that subtly advertise their service or product. Some companies such as Google even create interactive elements like the themed Google logo games to spark interest and engagement. These dynamic guerrilla marketing tactics can become news globally and give businesses considerable publicity.

Meaning, Importance, Benefits and Process of Omnichannel Marketing

Omnichannel Marketing is a Strategic approach that integrates multiple channels—both online and offline to provide a seamless and unified customer experience. It ensures that consumers can engage with a brand through various touchpoints, such as websites, social media, physical stores, and mobile apps, without disruptions. The goal is to deliver a consistent message and experience regardless of the platform or device being used. This approach improves customer satisfaction, fosters loyalty, and enhances overall engagement by meeting consumers where they are, creating a cohesive brand journey.

Importance of Omnichannel Marketing:

  • Enhanced Customer Experience

Omnichannel marketing ensures a seamless and consistent experience across all platforms, whether online or offline. Customers can switch between different channels without losing the continuity of their journey. This improves satisfaction, as they feel more valued and can interact with the brand at their convenience, leading to stronger customer loyalty.

  • Increased Customer Engagement

By offering multiple touchpoints, omnichannel marketing encourages customers to engage more frequently with the brand. Whether through social media, mobile apps, or physical stores, customers can connect in ways that suit them best. Consistent messaging and integrated campaigns across platforms keep the brand top of mind, encouraging longer and more meaningful interactions.

  • Better Customer Insights

Omnichannel marketing allows brands to gather comprehensive data from various touchpoints, providing a more holistic view of customer behavior and preferences. By analyzing this data, businesses can tailor their strategies to better meet customer needs, improve personalization, and ultimately enhance the effectiveness of their marketing efforts.

  • Increased Sales and Revenue

With multiple channels working together seamlessly, customers can easily transition from browsing to purchasing, regardless of where they start their journey. This reduces friction and boosts conversion rates, leading to higher sales. Omnichannel customers tend to spend more, as they can shop through multiple platforms without barriers.

  • Improved Customer Retention

Consistency across channels makes customers more likely to return, as they appreciate the convenience and continuity provided by the brand. Omnichannel marketing fosters deeper relationships with customers, resulting in better retention rates. Satisfied customers are more likely to stay loyal, reducing churn and improving lifetime value.

  • Better Brand Awareness

With a presence across multiple platforms, brands can reach a wider audience, improving visibility and brand awareness. Consistent messaging across various channels reinforces the brand’s identity, making it more recognizable and memorable, which is crucial for standing out in a crowded marketplace.

  • Improved Efficiency and Cost-Effectiveness

Omnichannel marketing helps streamline marketing efforts by aligning all channels toward a common goal. Instead of managing each platform separately, businesses can coordinate strategies and resources efficiently, saving time and reducing operational costs. This unified approach also reduces wasted efforts and maximizes return on investment.

  • Competitive Advantage

In today’s highly competitive market, offering a seamless omnichannel experience sets brands apart from competitors who may rely solely on one or two channels. As more consumers expect unified experiences, businesses that effectively implement omnichannel strategies gain an edge, attracting more customers and strengthening their market position.

Benefits of Omnichannel Marketing:

  • Unified Brand Experience

Omnichannel marketing ensures that customers receive a consistent and cohesive brand experience across all touchpoints, whether it’s a website, mobile app, social media, or in-store. This unified approach helps reinforce brand identity, making it easier for customers to connect and engage with the brand no matter where they interact.

  • Seamless Customer Journey

By integrating all channels, omnichannel marketing removes barriers in the customer journey, making transitions between platforms smooth and intuitive. For example, a customer may research a product on their smartphone, add it to their cart on a laptop, and complete the purchase in-store. This fluid journey increases convenience and satisfaction.

  • Personalized Customer Interactions

Omnichannel marketing leverages data from multiple touchpoints to create more personalized experiences. By understanding customer preferences and behavior across various platforms, businesses can deliver targeted messages, offers, and recommendations, increasing the likelihood of conversion and enhancing the overall shopping experience.

  • Greater Reach and Engagement

With omnichannel marketing, brands can connect with customers across a variety of platforms, allowing them to reach a broader audience. Whether through social media, email, SMS, or in-store interactions, this multi-channel presence enables businesses to engage with customers where they are most active, boosting engagement levels.

  • Increased Customer Loyalty

Consistency in service and experience builds trust with customers. Omnichannel marketing creates a sense of continuity, which fosters loyalty, as customers know they can rely on the brand regardless of the platform. Satisfied customers are more likely to become repeat buyers and brand advocates, enhancing retention.

  • Higher Conversion Rates

A seamless omnichannel strategy minimizes obstacles in the purchasing process, reducing drop-offs and improving conversion rates. Customers appreciate the ability to move easily between channels without losing their place, increasing the likelihood that they will complete their purchase and boosting overall sales.

  • Better Data and Analytics

Omnichannel marketing provides a wealth of data across different channels, helping businesses better understand customer behavior, preferences, and buying patterns. This data enables more informed decision-making, allowing companies to refine their strategies, optimize campaigns, and enhance the customer experience based on real insights.

  • Optimized Marketing Spend

By utilizing an omnichannel approach, businesses can allocate their marketing budget more effectively. Instead of focusing on isolated channels, resources can be distributed across multiple platforms for a more holistic impact. This leads to better ROI as campaigns are integrated and designed to work in unison, maximizing the efficiency of the marketing spend.

Process of Omnichannel Marketing:

  • Understanding the Customer Journey

The first step in omnichannel marketing is to map out the customer journey. This involves identifying all the touchpoints where customers interact with the brand, whether it’s through physical stores, websites, mobile apps, social media, or email. Understanding how customers move through these channels helps in creating a seamless experience that aligns with their behavior and expectations.

  • Data Collection and Integration

Omnichannel marketing relies heavily on data. Collecting data from various touchpoints such as online interactions, in-store purchases, and customer service queries is crucial. This data needs to be integrated into a centralized system, such as a CRM (Customer Relationship Management) platform, to provide a 360-degree view of each customer. This holistic view allows businesses to track customer preferences, buying habits, and interactions across all channels.

  • Segmenting the Audience

Once the data is collected and integrated, the next step is to segment the audience based on factors such as demographics, behavior, purchase history, and engagement levels. Audience segmentation helps tailor personalized messages and offers for different groups, ensuring that marketing efforts are relevant to each segment.

  • Personalization of Messages and Offers

With segmented audiences, the business can now create personalized messages, content, and offers for each group. Personalization is a key element in omnichannel marketing, as it enhances customer engagement and satisfaction. Messages are crafted to resonate with the customer’s needs and preferences, making them more likely to interact with the brand and make purchases.

  • Channel Integration

A true omnichannel strategy requires the seamless integration of all marketing channels. This means ensuring that customers can move between online and offline platforms without disruption. For example, if a customer adds an item to their online cart, they should be able to see it in the mobile app or in-store without any issues. All channels must be synchronized to deliver a cohesive and consistent brand experience.

  • Implementation of Technology

Omnichannel marketing relies on various technological tools such as CRM systems, marketing automation platforms, analytics tools, and mobile apps to ensure that channels are connected and data is accessible. These technologies help businesses track customer interactions, analyze behavior, and automate the delivery of personalized content across multiple touchpoints.

  • Monitoring and Optimization

Once the omnichannel marketing strategy is in place, continuous monitoring is essential. Using data analytics, businesses can track the performance of campaigns, measure customer engagement, and assess the effectiveness of different channels. Based on this data, businesses can make real-time adjustments to their strategies, optimizing the customer experience and improving conversion rates.

  • Feedback and Iteration

Customer feedback is important to understand how well the omnichannel strategy is working. Regular feedback from customers can help identify pain points or areas where the experience can be further improved. Businesses should continuously iterate on their strategies to enhance customer satisfaction and maintain an effective omnichannel presence.

API Platforms in banking

An API, or application programming interface, is basically software that acts as an intermediary between other pieces of software. As the acronym implies, an API is a program that acts as the interface between applications.

APIs play a crucial role in the Banking as a Service (BaaS) industry. BaaS sometimes called Banking as a Platform (BaaP) or banking Software as a Service (banking SaaS) refers to services that enable banks to provide digital services to customers or integrate with other digital services. BaaS providers like Treasury Prime offer API banking. Treasury Prime also connects fintechs and banks directly with each other so they can build relationships.

A BaaS company is a type of fintech company, and is sometimes referred to as “Fintech Banking as a Service”. Fintech is short for financial technology, and refers broadly to technology for financial operations. BaaS companies provide services to other types of fintechs that need to embed banking services into their applications. In addition to BaaS, fintech refers to payments apps, apps for day trading, neobanks or online-only banks, and other financial technology tools. Examples of top fintech companies include PayPal, Stripe, Square, Gravity Payments, and Affirm.

Benefits of API Banking

  • Direct integration and Instant solution; Real time solution for processing banking transaction
  • Secured medium of integration; Exchange data or files in encrypted environment
  • Highly efficient mode of banking; Reduce turn-around time of banking transaction as initiation as well as reverse status available on customer system on real time. Easy reconciliation
  • Saves time; No need to visit bank or uploading transaction files manually.

Artificial Intelligence in banking

Artificial Intelligence (AI) has been around for a long time. AI was first conceptualized in 1955 as a branch of Computer Science and focused on the science of making “intelligent machines” machines that could mimic the cognitive abilities of the human mind, such as learning and problem-solving. AI is expected to have a disruptive effect on most industry sectors, many-fold compared to what the internet did over the last couple of decades. Organizations and governments around the world are diverting billions of dollars to fund research and pilot programs of applications of AI in solving real-world problems that current technology is not capable of addressing.

Artificial Intelligence enables banks to manage record-level high-speed data to receive valuable insights. Moreover, features such as digital payments, AI bots, and biometric fraud detection systems further lead to high-quality services for a broader customer base. Artificial Intelligence comprises a broad set of technologies, including, but are not limited to, Machine Learning, Natural Language Processing, Expert Systems, Vision, Speech, Planning, Robotics, etc.

The adoption of AI in different enterprises has increased due to the COVID-19 pandemic. Since the pandemic hit the world, the potential value of AI has grown significantly. The focus of AI adoption is restricted to improving the efficiency of operations or the effectiveness of operations. However, AI is becoming increasingly important as organizations automate their day-to-day operations and understand the COVID-19 affected datasets. It can be leveraged to improve the stakeholder experience as well.

Applications:

  • Robo Advice

Automated advice is one of the most controversial topics in the financial services space. A robo-advisor attempts to understand a customer’s financial health by analyzing data shared by them, as well as their financial history. Based on this analysis and goals set by the client, the robo-advisor will be able to give appropriate investment recommendations in a particular product class, even as specific as a specific product or equity.

  • Customer Service/engagement (Chatbot)

Chatbots deliver a very high ROI in cost savings, making them one of the most commonly used applications of AI across industries. Chatbots can effectively tackle most commonly accessed tasks, such as balance inquiry, accessing mini statements, fund transfers, etc. This helps reduce the load from other channels such as contact centres, internet banking, etc.

  • General Purpose / Predictive Analytics

One of AI’s most common use cases includes general-purpose semantic and natural language applications and broadly applied predictive analytics. AI can detect specific patterns and correlations in the data, which legacy technology could not previously detect. These patterns could indicate untapped sales opportunities, cross-sell opportunities, or even metrics around operational data, leading to a direct revenue impact.

  • Credit Scoring / Direct Lending

AI is instrumental in helping alternate lenders determine the creditworthiness of clients by analyzing data from a wide range of traditional and non-traditional data sources. This helps lenders develop innovative lending systems backed by a robust credit scoring model, even for those individuals or entities with limited credit history. Notable companies include Affirm and GiniMachine.

  • Cybersecurity

AI can significantly improve the effectiveness of cybersecurity systems by leveraging data from previous threats and learning the patterns and indicators that might seem unrelated to predict and prevent attacks. In addition to preventing external threats, AI can also monitor internal threats or breaches and suggest corrective actions, resulting in the prevention of data theft or abuse.

  • Cybersecurity and fraud detection

Every day, huge number of digital transactions take place as users pay bills, withdraw money, deposit checks, and do a lot more via apps or online accounts. Thus, there is an increasing need for the banking sector to ramp up its cybersecurity and fraud detection efforts.

This is when artificial intelligence in banking comes to play. AI can help banks improve the security of online finance, track the loopholes in their systems, and minimize risks. AI along with machine learning can easily identify fraudulent activities and alert customers as well as banks.

For instance, Danske Bank, Denmark’s largest bank, implemented a fraud detection algorithm to replace its old rules-based fraud detection system. This deep learning tool increased the bank’s fraud detection capability by 50% and reduced false positives by 60%. The system also automated a lot of crucial decisions while routing some cases to human analysts for further inspection.

AI can also help banks to manage cyber threats. In 2019, the financial sector accounted for 29% of all cyber attacks, making it the most-targeted industry. With the continuous monitoring capabilities of artificial intelligence in financial services, banks can respond to potential cyberattacks before they affect employees, customers, or internal systems.

Augmented Reality in Banking

AR is an experience where parts of users’ physical world are enhanced with computer-generated input. It can provide an interactive experience of a virtual environment in the real world.

Augmented reality solutions have the potential to substantially benefit the financial services industry. The future of mobile banking may involve apps that allow users to superimpose images and data over their real-world surroundings.

Banks that partner with fintech developers who can leverage augmented reality in banking use cases to offer greater convenience to their customers will be more likely to maintain and boost customer loyalty.

Need

Augmented realities allow users to cover digital information on top of the real-world environment. AR technology is partially immersive experience boosted by heads up display or existing smartphones. Banks and financial institutions can engage customers and create new immersive experiences through millions of existing compatible smartphones. AR can help financial service institutions to engage existing and new potential banking customers.

The need for AR in the banking sector can be deduced by the fact that it will provide consumers to view the information in a concise, engaging as well as in an immersive manner. The banks have found this challenging, and AR can help them in tackling this challenge.

Banks have also faced challenges with respect to enabling greater consumer choice and in providing greater visibility in terms of spending patterns and behaviors. It is another area where banks have encountered issues, but it is also an area where AR can have a profound impact as it will allow consumers to make informed decisions in terms of spending. It will provide customers with a new way of interpreting banking data and information.

Applications:

Virtual Trading

Some companies are making trading a virtual experience by creating virtual reality workstations for trading. Citi uses Microsoft HoloLens to give traders Holographic Workstations. This type of workstation offers 2D and 3D elements that add to the bank’s existing processes. Comarch uses virtual reality in their wealth management software to give users better access to algorithms and trading tools.

Data Visualization

Being able to visualize data is an important tool traders use to help them make important decisions about wealth management, especially as the financial industry becomes more complex and there is more data to analyze. AR and VR add to this experience and make it easier and faster to visualize and organize large amounts of data. Salesforce uses Oculus Rift to create an immersive 3D environment for analyzing data. Fidelity Labs, a part of Fidelity Investments, has also taken advantage of the technology behind Oculus Rift. They created a virtual world called “StockCity” where stock portfolios are turned into a virtual 3D city, where investors can immerse themselves in the data. Also read: Futures be augmented of virtual with AR/VR.

Virtual Branches

Digital-only banks and mobile banks are already here. But someday soon we may be able to go to a virtual bank. If customers are not able to visit a physical branch location for whatever reason, there will soon be given the possibility to go to a virtual branch. The hope is that these branches will be able to provide the same services but exclusively in a VR environment.

Virtual Reality Payments

Some companies are even making payments a virtual experience. MasterCard has partnered with Wearality to create a world where consumers can make purchases without leaving the virtual world. They have a virtual reality golf experience called ‘Priceless’ and players are able to buy clothing in the virtual world, without having to do anything offline.

Financial Education

For both employees and customers of financial institutions, education is important for understanding changes in financial systems. AR and VR have huge potential for teaching people new information in the VR Finance.

Security

In order to create a more secure customer experience, biometric security could be introduced in an AR system that could then connect with a VR world. These could be used to access VR bank services, make ATM transactions, or make payments.

Customer Service

Many financial institutions are also using AR and VR to help improve the experience of their customers. Many banks have AR apps that help customers find the nearest banks and ATMs. When in a city, they can scan the area with their phones and see real-time information about location, distance, and services at nearby banks.

Recruitment and Training

In order to provide high-quality services to customers, financial institutions need to make sure they are recruiting top talent and training all employees to give them skills that will help them do their jobs to the best of their abilities. Some banks are using a VR experience to show tech recruits how innovative and tech-savvy the bank is. Potential employees, as well as current employees, use this platform to form teams and create apps that will help the bank’s customers.

Quantum Computing in banking

Quantum computing is a technology based on the principles of quantum theory. Quantum computing harnesses the laws of quantum mechanics to carry out complex data operations. Quantum mechanics pertains to the realm of sub-atomic particles where the laws of classical physics breakdown. It shows how particles and waves have a dual nature. Particles like electrons tend to behave like waves, whereas light waves also display particle nature.

A quantum processor has millions of qubits that explore all possible combinations to find the best answer. A qubit (or quantum bit) is the basic unit of quantum information (quantum version of the classical binary bit). Quantum entanglement (perfect correlation between quantum particles) allows qubits to communicate with each other even if they are miles (or even millions of miles) apart.

Optimal arbitrage, credit scoring, derivative pricing; all these financial procedures involve many mathematical calculations and become even more complicated and resource-intensive as the number of variables increases. At some point, people have to settle for less-than-optimal solutions, because the complexity of the problem surpasses the capabilities of current technology and methods.

Over time, financial institutions will grow their quantum technology capacity and ability and will grow the number of specific business applications. As a result, the hybrid quantum-HPC computer will lie at the basis of their core business. Those that don’t join in could be running serious commercial risk and financial organizations know this.

Quantum has a bright future, with the potential to make the sector more profitable and less risky. One day it might even make the global economy more stable, as fiscal risks can be better predicted with quantum computers. But quantum computing is not the only quantum technology. What would Finance look like once we have a quantum internet that allows for instantaneous, faster-than-light, correlations? Will we again change the statistics of algorithmic trading, as the rules of the game change? Nobody knows, but it is interesting to consider.

Robotic Process Automation in banking

RPA is a technology used to automate manual business procedures to allow banks to stay competitive in a growing market. An RPA banking will provide customers with the ability to automatically process payments, deposits, withdrawals, and other banking transactions without the need for manual intervention. Banks are very quickly able to see an ROI from RPA.

RPA takes full form in banking as technology continues to grow. More and more people are using digital banking, cryptocurrency, and mobile payments. These are only some examples of RPA in banking. These Digital transformation projects remain at the top of the list for many banks and will continue to drive the overall technological growth of the banking process.

Intelligent Automation works in banking:

  • IA enables banks to automate complex end-to-end processes.
  • These processes typically involve the use of structured and unstructured data.
  • Thanks to AI and Machine Learning (ML), IA systems are able to communicate using human languages, classifying, and recognizing ‘sentiment’.
  • This understanding of sentiment or language enables IA to operate in a completely automated fashion, even automating workflow steps that would have previously required human intervention.

Role:

Customer Service

Banks deal with multiple queries every day ranging from account information to application status to balance information. It becomes difficult for banks to respond to queries with a low turnaround time.

RPA can automate such rule-based processes to respond to queries in real-time and reduce turnaround time to seconds, freeing up human resources for more critical tasks

With the help of artificial intelligence, RPA can also resolve queries that need decision-making. By using NLP, Chatbot Automation enables bots to understand the natural language of chatting with customers and respond like humans.

Credit Card Processing

Traditional credit card application processing used to take weeks to validate the customer information and approve credit cards. The long waiting period was dissatisfaction to customers and cost to banks. However, with the help of RPA, banks now can process the application within hours. RPA can talk to multiple systems simultaneously to validate the information like required documents, background checks, credit checks and take the decision based on rules to approve or disapprove the application.

Accounts Payable

Accounts payable is a simple but monotonous process in the banking system. It requires extracting vendor information, validating it, and then processing the payment. This does not require any intelligence making it the perfect case for RPA.

Robotic Process Automation with the help of optical character recognition (OCR) solutions can solve this problem. OCR can read the vendor information from the digital copy physical form and provide information to the RPA system. RPA will validate the information with the information in the system and process the payment. If any error occurs, RPA can notify the executive for resolution.

General Ledger

The banks must keep the general ledger updated with information like financial statements, revenue, assets, liabilities, expenses, and revenue which is used to prepare financial statements. Financial statements are the public documents that are then accessed by the public, stakeholders, and media. Considering the amount of detailed information in the statement, errors in the report can very badly affect the bank’s image.

To create the statement, the bank needs to update information from the multiple legacy systems as these systems cannot integrate, verify it and make sure that the general ledger is prepared with no errors. With this amount of data from multiple systems, it is bound to have errors. Here comes RPA to the rescue. RPA is independent of the technology and can integrate data from multiple legacy systems to present in the required format even if the data in the systems are not in the same format. This reduces the huge amount of data handling and time.

Report Automation

Like all other public companies, banks need to prepare reports and present them to their stakeholders to show their performance. Considering the importance of the report, there is no chance for the bank to make an error.

While RPA systems provide data in multiple formats, they can create reports by auto-filling the available report format to create reports without errors and minimum time

Account Closure Process

With such a huge number of customers, it is supposed to get some account closure requests monthly. There can be various reasons for the account closures and one of them is when a client has failed to provide the mandatory documents.

With Robotic Process Automation, it is easy to track such accounts, send automated notifications, and schedule calls for the required document submissions. RPA can also help banks to close accounts in exceptional scenarios like customers failing to provide KYC documents.

Fraud Detection

With the introduction of digital systems, one of the major concerns of banks is fraud. It is really difficult for banks to track all the transactions to flag the possible fraud transaction. Whereas RPA can track the transactions and raise the flag for possible fraud transaction patterns in real-time reducing the delay in response. In certain cases, RPA can prevent fraud by blocking accounts and stopping transactions.

KYC Process

Know Your Customer (KYC) is a mandatory process for banks for every customer. This process includes 500 to 1000+ FTEs to perform necessary checks on the customers. According to Thomson Reuters, banks spend more than $384 million per year on KYC process compliance.

Considering the cost of the manual process, banks have started using RPA to validate customer data. With increased accuracy, banks no longer have to worry about the FTEs and the process can be completed with minimal errors and staff.

Crypto Currency, Features, Example, Disadvantages

Cryptocurrency is a digital or virtual form of currency that uses cryptography for security, making it nearly impossible to counterfeit or double-spend. It operates on decentralized networks based on blockchain technology—a distributed ledger enforced by a network of computers (nodes). Unlike traditional currencies issued by governments, cryptocurrencies are not controlled by any central authority. Bitcoin, launched in 2009, was the first and remains the most well-known cryptocurrency. These currencies enable peer-to-peer transactions globally, often with lower fees and faster processing times. Cryptocurrencies are also gaining popularity as investment assets due to their potential for high returns and innovation.

Crypto Regulation in India:

India’s approach to cryptocurrency regulation has evolved significantly over the years. Initially, the Reserve Bank of India (RBI) issued a circular in April 2018 barring banks and financial institutions from providing services to crypto exchanges. This move created uncertainty in the industry, which was later eased when the Supreme Court of India overturned the RBI’s ban in March 2020, declaring it unconstitutional. Following this, the crypto market in India witnessed a surge in retail participation and the rise of several homegrown crypto platforms like CoinDCX, WazirX, and ZebPay. Despite this growth, the Indian government remained cautious, citing concerns related to investor protection, financial stability, and the potential misuse of crypto assets for illicit activities.

In response to rising adoption, the government introduced a tax regime for cryptocurrencies in the Union Budget 2022, imposing a 30% tax on income from virtual digital assets (VDAs) and a 1% TDS on transfers above a specified threshold. However, India is yet to formulate a comprehensive legal framework to regulate cryptocurrencies fully. The government has repeatedly emphasized the need for global cooperation in regulating digital assets. Meanwhile, the RBI continues to express concerns and is focusing on promoting the Central Bank Digital Currency (CBDC) as a safer alternative. The regulatory outlook remains cautious, awaiting clear legislative direction.

Features of Crypto Currency:

  • Decentralization

Cryptocurrencies are typically decentralized, meaning they are not governed by any central authority such as a bank or government. Instead, they operate on a peer-to-peer network where control is distributed across many computers. This decentralization offers transparency, enhances security, and reduces the risk of single points of failure. Transactions and coin issuance are managed collectively by the network using open-source software and cryptographic algorithms, fostering independence from traditional financial institutions and allowing users to retain full control over their funds and digital transactions.

  • Blockchain Technology

The backbone of most cryptocurrencies is blockchain—a distributed ledger that records all transactions chronologically and immutably. Each block contains a list of recent transactions and is linked to the previous one, forming a chain. Blockchain enhances trust and security because once data is recorded, it cannot be altered without consensus across the network. This transparent and tamper-proof structure is especially beneficial for verifying transactions, reducing fraud, and ensuring accountability in decentralized environments, making it a revolutionary technology in the financial and non-financial sectors alike.

  • Anonymity and Privacy

Cryptocurrencies often provide a higher degree of privacy than traditional payment systems. While transactions are recorded on the blockchain and are publicly visible, the identities of users are concealed behind encrypted addresses or keys. This ensures that personal information is not directly tied to a transaction. Some cryptocurrencies, like Monero or Zcash, offer enhanced privacy features, making it almost impossible to trace the origin, destination, or amount of the transaction. This feature appeals to users seeking confidentiality, though it also raises concerns for regulatory authorities about misuse.

  • Limited Supply

Most cryptocurrencies have a finite supply, which is coded into their protocols. For example, Bitcoin has a maximum supply of 21 million coins. This scarcity creates a deflationary nature, potentially increasing value over time if demand continues to grow. Unlike fiat currencies that can be printed endlessly, the limited supply of cryptocurrencies helps preserve their purchasing power. This unique feature makes them appealing to investors as a hedge against inflation and currency devaluation, promoting long-term value appreciation and disciplined financial management within the ecosystem.

  • Fast and Borderless Transactions

Cryptocurrencies enable instant or near-instant transactions across the globe, regardless of location or banking hours. This cross-border functionality is especially useful for international payments, eliminating delays and high fees associated with conventional banking and remittance services. The decentralized nature ensures that there is no intermediary, such as a bank, to slow down the process. This efficiency is not only convenient for individual users but also supports global trade and e-commerce by providing a seamless and cost-effective method for transferring value internationally.

  • Security and Cryptography

Security is a fundamental feature of cryptocurrencies. Transactions are secured using advanced cryptographic techniques such as hash functions, digital signatures, and public-private key pairs. These methods make it extremely difficult for unauthorized parties to alter or access transaction data. Furthermore, the decentralized network structure provides resilience against hacks or system failures. While the underlying technology is secure, users must still take precautions with their private keys and wallets to ensure complete protection against phishing, fraud, or loss of access.

  • Volatility

Cryptocurrencies are known for their high price volatility. Market prices can experience dramatic fluctuations within short periods due to factors like speculation, regulatory news, market sentiment, or adoption trends. While this volatility presents opportunities for high profits, it also carries significant risk. Investors must be cautious and informed, especially during market surges or crashes. Despite the risks, volatility draws attention to crypto markets, making them dynamic and appealing for traders and speculators, though less predictable compared to traditional investment instruments.

Example of Crypto Currency:

Bitcoin (BTC) is the first and most well-known cryptocurrency, introduced in 2009 by an anonymous entity known as Satoshi Nakamoto. It operates on a decentralized peer-to-peer network using blockchain technology, which ensures secure and transparent transactions without the need for a central authority or bank. Bitcoin is primarily used as a digital asset for investment and as a medium of exchange. Its limited supply of 21 million coins makes it deflationary, and it has sparked the creation of thousands of alternative cryptocurrencies (altcoins) like Ethereum, Ripple, and Litecoin.

Disadvantages of Crypto Currency:

  • High Volatility

Cryptocurrency markets are highly volatile. Prices can swing dramatically within minutes, influenced by speculation, market sentiment, social media, or regulatory news. While this can lead to high profits, it also results in major losses for investors. Such volatility makes cryptocurrencies unreliable for everyday transactions or long-term financial planning. Merchants and consumers often hesitate to adopt crypto due to uncertain value. This price instability undermines its role as a stable medium of exchange or store of value, which is critical for widespread acceptance.

  • Regulatory Uncertainty

Cryptocurrencies operate in a rapidly changing legal landscape. Governments around the world are still determining how to regulate digital assets, leading to uncertainty. Some countries embrace them, while others impose restrictions or outright bans. This inconsistent global regulatory framework creates confusion and risk for users, investors, and businesses. Regulatory crackdowns can lead to sudden drops in value or disrupt access to services. Until uniform and clear laws are established, users may face legal risks or limited opportunities for adoption and investment.

  • Risk of Cyber Theft and Hacking

Despite blockchain’s security, cryptocurrency holdings are vulnerable to cyber theft. Hackers target wallets, exchanges, and users through phishing, malware, or system breaches. If private keys are stolen, the owner loses access permanently, as transactions are irreversible and untraceable. Unlike traditional banking, there’s no way to recover stolen crypto without central oversight. Numerous high-profile exchange hacks have resulted in millions in losses. This lack of recourse makes cryptocurrency risky for inexperienced users or those who do not implement strong security measures.

  • Limited Acceptance

Although growing, cryptocurrency is not yet widely accepted as a medium of payment. Most retailers and service providers still prefer traditional currencies. The lack of mass adoption restricts its usefulness for day-to-day transactions. Users often have to convert crypto into fiat currency to make purchases, which adds complexity and transaction costs. Until there is broader merchant integration and consumer trust, the practicality of using cryptocurrency in everyday life remains limited, especially in regions with poor internet access or digital infrastructure.

  • Irreversible Transactions

Once a cryptocurrency transaction is confirmed, it cannot be reversed. If users send funds to the wrong address or fall victim to fraud, there’s no way to recover the money. This contrasts with credit cards or bank transfers, which offer dispute and refund mechanisms. The lack of a governing authority or customer support makes it challenging for users to resolve mistakes. This finality increases the burden on users to double-check every transaction and adds risk, especially for new or careless participants.

  • Environmental Impact

Certain cryptocurrencies, particularly Bitcoin, require significant computing power for mining, which consumes a massive amount of electricity. This has raised environmental concerns, especially in regions dependent on non-renewable energy sources. The carbon footprint of crypto mining has been compared to that of entire countries. As sustainability becomes a global priority, this energy-intensive process faces criticism and pressure for reform. Some newer cryptocurrencies are adopting eco-friendlier consensus mechanisms, but the environmental cost of proof-of-work systems remains a major disadvantage.

  • Complexity and Lack of Awareness

Cryptocurrency involves complex technology that many users find difficult to understand. Terms like blockchain, private keys, gas fees, and wallets can be confusing, especially for non-tech-savvy individuals. Without proper knowledge, users risk losing funds, making poor investments, or falling for scams. The lack of financial literacy and technical awareness slows adoption and increases the danger of misuse. To encourage mass adoption, there needs to be better education, simplified user interfaces, and support systems to help users navigate the ecosystem safely.

Non Resident Indians Accounts, Pigmy Deposit Accounts, Other Special Accounts

Non Resident Indians Accounts

The NRE account is an Indian rupee-denominated account, offering complete security. These accounts can be in the form of savings, current, recurring, or fixed deposits. The foreign currency you deposit into the account is converted to INR. You can transfer your funds (Principal & Interest amount) to a foreign account from an NRE account without any complications and restrictions. You need to note that the amount you deposit into these accounts must be earned outside India. The international debit card enables you to transact and withdraw money 24*7. Also, mutual fund investments to become effortless and instant if you link your NRE account number to the investment account. NRE account is primarily used for carrying out business, personal banking and making investments in India.

An NRO account is a savings or current account held by NRIs in India to manage their income earned in India. Account-holders can deposit and manage their accumulated rupee funds without any hassle. The account allows you to receive funds in Indian or Foreign currency. You can apply for an NRO account jointly with a resident Indian or even an NRI. It is even feasible to transfer money from your current NRE account. However, the interest you earn in this account is subject to TDS (Tax Deducted at Source). Tax Deducted at Source (TDS).

FCNR (B) Account

FCNR or Foreign Currency Non-Residential Account facilitates deposits made by Non-Residential Indians (NRIs) or Persons of Indian Origin (POI). NRIs or POI can make these deposits in the currency of their country of residence and shall be held in that account in any one of the foreign currencies prescribed by RBI.

The currencies in which deposits can be held in an FCNR (B) Account are – US Dollars (USD), Canadian Dollar (CAD), Australian Dollar (AUD), Euro (EUR), Great Britain Pound Sterling (GBP), Singapore Dollar (SGD), Hong Kong Dollar (HKD), Japanese Yen (JPY) and Swiss Franc (CHF).

Hence, for instance, if an individual has earnings in any of these currencies, their deposits in an FCNR (B) Account shall not be subject to conversion. On the other hand, if an individual earns in any other currency, deposits made in it shall be converted to any one of the prescribed currencies mentioned above.

Pigmy Deposit Accounts

Pigmy Deposit Scheme is a monetary deposit scheme introduced by Syndicate Bank, India.

Money in amounts as small as five rupees can be deposited into an account on a daily basis, by a bank agent collecting the money from the account holder’s doorstep. The scheme was introduced to help daily wage earners, small traders and farmers begin saving, as a means to fund their bigger capital requirements such as weddings or purchases of homes or vehicles.

The account is for daily wage earners or tiny businessmen, who would like to put aside a little of their days earnings and accumulate it for a year or two. Even if Rs. 10/- is saved a day for 365 days, the saved amount together with interest could reach a figure like Rs. 4000/-

In about 5 years,

First Year Contribution Rs 3650 Interest 350 Say Rs 4000/-

Second year Contribution Rs 3650 Interest 350 Say Rs 4000/- + Rs. 400/-

Third year Contribution Rs 3650 Interest 350 Say Rs 4000/- + Rs. 1200/-

Fourth year Contribution Rs 3650 Interest 350 Say Rs 4000/- + Rs. 2000/-

Fifth year Contribution Rs 3650 Interest 350 Say Rs 4000/- + Rs. 3000/

Nearly Rs 25–26000 would be saved by the person.

This account is most useful to very small earners. They cannot command credit even from banks as their earning capacity is lowest.

Other Special Accounts

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