Fintech Lending: Disrupting Traditional Loan Processes

Fintech lending is transforming the financial industry by offering efficient and faster financial services than traditional loan processes. There are estimates of the global Fintech lending market reaching almost $4,957.16 billion by 2030, with a CAGR of 27.4% from 2021 to 2030. 

With the growth of the Fintech industry, digital lenders use data analytics technologies or cutting-edge AI technologies, disrupting the traditional loan sector. To subsist in the tech-heavy competitive market, traditional lending and financial institutions must learn financial technology and Fintech lending. 

Let us explore Fintech lending, its way of working and how it is disrupting traditional loan processes. 

What is Fintech Lending?

Fintech lending uses digital solutions and technologies for facilitating lending processes. The process uses APIs so that lenders can take informed and quick lending decisions. The services include business loans, peer-to-peer lending and different tools for finding the best loan. Payments are great with Fintech as customers experience secure and fast transactions on their mobile devices. 

With Fintech, lending opportunities are higher as lenders with poor credit scores can also apply and get loans. API connections accelerate the processing times so that timely fund access is available for peer-to-peer lending and small businesses. 

Fintech companies have revolutionised lending using data analytics and AI. For streamlining payment processes, they use various kinds of digital media including mobile wallets, online bank accounts and e-commerce accounts. There are minimal scopes of fraud and borrowers get timely access to the funds. 

Fintech lending lets lenders apply for different financing solutions from any part of the world. This is a self-reliant and initiative-taking approach to money management. 

Innovations and Trends in Fintech Lending and Credit

Let us take a look at some of the innovations and trends in Fintech lending and credit:

  • Alternative credit scoring

Fintech lending and credit use different data sources for ascertaining the creditworthiness of a customer beyond traditional credit scores. Alternative credit scoring uses different kinds of non-traditional data like social media behaviour, payment history and other online activities for assessing credit risk. 

Therefore, businesses, as well as individuals with no or limited credit history, have credit access, thus expanding financial inclusion. 

  • Micro-lending and digital wallets

One of the most popular Fintech lending and credit solutions is none other than mobile wallets or digital wallets. With these wallets, customers can borrow, store and transfer money digitally. 

Micro-lending provides small loan amounts for a short span of time. This lending is facilitated through digital wallets. People with a limited credit history or belonging to emerging markets can access credit through this process. 

  • Online lending platforms

In the Fintech space, online lending platforms, which are also called peer-to-peer (P2P) lending platforms, have become immensely popular. Through these platforms, borrowers can connect directly with investors. There are no financial intermediaries in between. 

Online lending platforms assess credit risk by using data analytics and various kinds of algorithms for determining loan pricing. This is the reason, they can provide lower costs, faster loan approvals and improved transparency compared to traditional lenders. 

  • Blockchain-based lending

Blockchain technology offers a transparent and decentralised ledger for transaction recording. Such lending platforms reduce fraud, remove the need for intermediaries and improve transparency in loan transactions.

Smart contracts (they are self-executing contracts) are recorded on the blockchain. This helps in automating repayment terms and loan agreements.  

  • Open banking and APIs

In open banking, businesses and consumers can share their financial data securely and safely with authorised third-party providers. This is a great innovation in Fintech lending and credit. 

Application Programming Interfaces (APIs) provide integration and data sharing between different service providers and financial institutions. This aids in improved risk assessment, quicker loan processing and improved customer experience. 

  • Machine Learning (ML) and Artificial Intelligence (AI)

When you learn financial technology, you must have good knowledge of cloud computing, ML and AI. A Blockchain course is also useful. There is extensive use of Machine Learning and Artificial Intelligence in Fintech lending and credit for automating processes, making accurate credit risk assessments and analysing huge volumes of data.

Virtual assistants and AI-powered chatbots are used for processing loan applications and offering customer services. On the other hand, Machine Learning algorithms help in predicting credit risk and analysing borrower data.  

  • RegTech for credit risk management 

RegTech or regulatory technology is an excellent Fintech solution for credit risk assessment. Regtech solutions use automation and data analytics for ensuring compliance with various regulatory requirements. These include KYC regulations, anti-money laundering regulations, and so on. 

With this technology, lenders can assess their credit risk while complying with various regulatory obligations. 

Fintech Aids Value Addition to The Lending Industry

There is no second thought that Fintech has brought a revolution in the lending industry by providing borrowers with more choices and access. Moreover, Fintech offers innovative financing solutions to customers as per their needs. 

With the advent of Fintech, small businesses as well as P2P groups have access to convenient funding for improving their financial well-being. Such funding also helps them in operating independently. 

Fintech lenders use data for offering capital to a wide range of borrowers. At the same time, they can maintain safe lending practices, making a more competitive market. 

In Fintech, the lending process is streamlined thus reducing the time and cost of lenders and borrowers alike. Borrowers can now receive fast cash with minimal hassles during loan application. As a result, the Fintech industry is expected to experience massive growth in the coming years. 

Conclusion

It is needless to say that the Fintech industry is developing new fronts to cater to more customers. By using various Fintech platforms you have faster access to credit along with lighter underwriting and quick processing times. As this sector is new and developing, there are ample job opportunities opening up as well. 

If you want to make a career in the Fintech industry, you have to learn financial technology in the first place. Undertaking a Blockchain course along with knowledge of cloud computing are an added advantage. 

Imarticus Learning is a great platform where you can pursue a Professional Certificate in Fintech in collaboration with SP Jain School of Global Management. An excellent course, students can have an in-depth understanding of different aspects of Fintech along with strategic and practical training on technologies like Blockchain, cloud computing, API, Machine Learning, Artificial Intelligence, RPA and IoT. 

Enrol in the course now and transform your career!

Visit Imarticus Learning for more information. 

Feature Engineering: Transforming Data for Machine Learning

Raw input data are generally available in tabular formats, where rows highlight observations or instances and columns show attributes or features. Feature engineering is a tactical process which is used to transform raw data into valuable features that can be utilised for creating accurate predictive machine learning models. This uses Python programming and Power BI as key visualisation tools. 

Business Analyst

Feature engineering helps to prepare models with reasonable prediction even when a few missing raw data are missing. This is possible when the work is done using the most relevant features that eliminate undesirable or non-influential ones.  

The Process of Feature Engineering

Feature engineering in machine learning broadly consists of four processes. They are as follows:

Feature creation

Feature creation is a process that uses the human brain’s creativity and is performed by addition, deletion or rationalisation of existing data variables. This activity is done by professionals who have chosen a career in data analytics

Transformation

The process of adjusting the selected variable so that it may contribute effectively towards the accuracy and performance of the predictive model is known as transformation. The process ensures that all the features follow the same scale. It also helps to make the model flexible to accept a variety of data inputs.

Feature extraction 

Feature extraction is an automated method of generating new meaningful variables out of the raw data provided. This makes the predictive model more reliable and accurate by reducing the input data volume. The process involves text analytics, cluster analysis, edge detection algorithms, and principal components analysis.

Feature selection

Feature selection is the process of selecting the most useful variables out of many for incorporating them into the predictive model. Irrelevant or noisy data are left out since they are useless to the model and negatively affect the model when infused into the system.

Tools of Feature Engineering

Many feature engineering tools help make good predictive models. A few of them are described below:

FeatureTools

FeatureTools helps to perform auto-feature engineering. It is particularly good at converting meaningful raw data to useful features in machine learning.  

AutoFeat 

Linear predictive models with automated feature engineering and selection process is a key strength area of the AutoFeat tool. AutoFeat helps us to select the unit of useful variables.

TsFresh 

TsFresh is an open-source Python package tool that helps to correlate and automatically calculates a large number of time series data. It helps to extract details such as peak, average value, time reversal symmetry statistics etc. Knowing Python programming is of immense importance in today’s world.    

OneBM 

This tool works on the raw data, irrespective of whether they are relational or non-relational to the predictive model. It can generate both simple and complicated features.

ExploreKit

It is a structured framework to produce automated features. It can combine multiple data and may unearth common useful features thereby eliminating duplication. This makes the predictive model compact and error-free. 

Feature Engineering Techniques in Machine Learning

Some of the regular feature engineering techniques used in preparing data for machine learning models are as follows:

Imputation 

The most common problem is missing data, which arises out of the following typical cases of human errors, data flow interruptions, privacy issues etc. Numerical and categorical imputations are applied in these cases.

Handling outliers 

This is a process of suitably dealing with specific data which is exceptional in terms of value and category. When several outliers are very few, the process of removal is applied. However, if the number of outliers is quite a few, then removal will cause us to lose enormous data and hence be avoidable. In these cases, the process of replacing values, capping or discretisation is applied.

Log transform 

Logarithms are used to convert data of a skewed distribution into that of a normal distribution. This process is also used to handle confusing data. The efficiency of this tool may be best expressed visually with Power BI.    

Scaling 

It is the process of bringing all data under a common scale by scaling up or down, as required. The purpose is to make the features similar in terms of their range. The two standard procedures adapted here are normalisation and standardisation.

Binning

Excessive and irrelevant data and unwarranted numbers of parameters deter the performance of models. Binning is the process of segmenting several data and features and eliminating unwanted ones from the system.

Feature split 

This is a process of segregating features into two or more parts to closely monitor the same with the help of the data available. This characteristic produces meaningful features with better algorithms and is better numerically representative.

One hot coding 

It is a commonly used technique in machine learning. It is used to convert categorical data in a specific form which can be easily interpreted by machine learning algorithms and can be used in creating successful predictive models. 

Benefits of Feature Engineering in Machine Learning Models

Using feature engineering in machine learning applications has some notable advantages, which are as follows:

Flexibility 

Better features impart better model flexibility. Even if a wrong model is chosen by mistake, the flexibility of features will generate good predictions.

Simplicity 

Flexible featured models are simple and quick to operate.

Better Results 

With the same available data, the selection of better features gives way to better results in predictive models. 

Conclusion

A career in data analytics is a booming option for modern youth. A data science course with placement assistance makes this opportunity lucrative. Having a machine learning certification is very necessary for a prospective candidate. Several reputed institutes in India offer machine learning certification courses.

The Postgraduate Program in Data Science and Analytics at Imarticus will give the prospective candidate a perfect start to their career. This is a data science course with placement and the duration of the program is 6 months. The classes are held on weekdays where the mode of teaching is both online as well as classroom training. 

Visit the official website of Imarticus Learning for more course-related details.

The Evolution of Investment Banking and Financial Regulation

The domain of investment banking (IB) has seen notable changes over time, evolving into an essential tenet of the global financial system.

The necessity for efficient regulation to preserve stability and protect investor interests has increased along with the industry’s importance.

In this article, we aim to dive into the specifics of investment banking, starting right from its history. We will discuss the evolution of investment banking focusing on the intricate relationship it bears with financial regulations.

The article also aims to focus on the importance of investment banking, keeping in mind the contemporary financial landscape.

This is a must-read for anyone looking to take up an investment banking course and kickstart their best career in the field.

What is Investment Banking?

Investment banking is banking that deals with substantially higher transaction values on a much larger scale.

It basically refers to a financial service that involves assisting governments, private corporations, and other entities to harness capital and look into financial advisory services. Now here comes the role of investment banks.

Investment banks facilitate these transactions and issue securities, mergers and acquisitions, etc., thereby serving as intermediaries between investors and businesses in the capital markets.

This guarantees a straightforward risk management and advantageous negotiation process that satisfies all parties engaged in the transaction.

By engaging trusted investment banking services, fund managers and businesses can achieve a seamless transaction experience that meets the needs and expectations of all parties involved.

Investment Banking Training

After providing a brief definition of investment banking, it’s natural to question the necessity and importance of utilizing its services for the efficient execution of mergers and acquisitions (M&A) deals or fundraising underwritings.

Investment Banking Evolution

Investment banking has undergone a tremendous shift that has altered the way financial services are delivered and the nature of the global economy.

Initially, investment banks mostly provided advisory services and helped businesses raise funds. However, the function of investment banks changed along with the development of the money market.

Investment banks have broadened their range of services over time to embrace a variety of endeavours. They welcomed mergers and acquisitions, which allowed businesses to collaborate and seize fresh growth prospects.

They entered the asset management industry, assisting people and businesses in portfolio optimisation and sound investment selection.

Trading developed into a crucial component of their business, helping them to negotiate the complex world of futures and securities. They guided investors in their financial endeavours by offering insightful information through cutting-edge research.

A significant turning point came in the late 20th century when regulatory barriers were loosened, granting investment banks greater flexibility in their operations.

This newfound freedom led to the convergence of commercial and investment banking, blurring the traditional lines and giving rise to financial conglomerates.

Investment banks could now engage in a broader range of financial activities, fueling innovation and driving growth in the industry.

The development of investment banking was greatly influenced by the process of globalisation. Investment banks were able to spread across national lines thanks to developments in communication and technology.

They welcomed the chance to service customers from all over the world and adapted their business practises to meet the vast range of demands of a globalised money market.

The current investment banking landscape has been changed by cross-border transactions, global capital flows, and the development of strategic alliances made possible by this globalisation.

Financial Regulation and Investment Banking

The regulation of the financial industry and investment banking are interwoven. Investment banks’ operations are governed by regulations, which make sure they comply with requirements to safeguard investors and maintain market stability as well as operate ethically and responsibly.

Financial restrictions frequently affect how investment banking is done. Regulations may, for instance, specify the capital needs of investment banks, limit some risky operations, or prescribe disclosure and reporting obligations. 

The relationship between financial regulations and investment banking is dynamic and complex. Investment banks must adapt their practices and operations to comply with changing regulatory requirements. Similarly, regulators continuously assess and adjust regulations to address new risks and challenges posed by evolving market conditions.

To delve deeper into the evolution of investment banking and financial regulation, you can explore reputable financial news websites, academic journals, regulatory body websites, and industry publications for in-depth analysis and insights.

The Role Of Derivatives Market in Investment Banking

Investment banking depends heavily on the derivatives market. It entails purchasing and disposing of financial products known as derivatives, whose value is derived from underlying assets like stocks, bonds, commodities, or currencies.

Here are some key roles of the derivatives market in investment banking:

  1. Risk Management: Derivatives have many uses in investment banks. They allow and enable investors to protect themselves against potential losses brought on by changes in interest rates, exchange rates, or commodity prices, which is how they aid in risk management. 
  2. Speculation and Trading: Investment banks engage in derivative trading to speculate on price movements and profit from market fluctuations. They employ advanced trading strategies and sophisticated models to identify opportunities and manage risks associated with derivative positions. This speculative activity contributes to market liquidity and enhances price discovery. 
  3. Structured Products: Investment banks design and create structured products using derivatives. These products combine derivatives with other financial instruments to create tailored investment solutions for clients. Structured products can provide customized exposure to specific market outcomes, leverage investment strategies, or offer enhanced yields. 
  4. Market Making: Investment banks act as market makers in the derivatives market. They facilitate smooth transactions by offering competitive prices, absorbing buying and selling orders, and managing inventory. Market-making activities help ensure that the derivatives market remains efficient and liquid. 
  5. Client Advisory Services: Investment banks offer advisory services to clients regarding derivatives strategies and market opportunities. They assist clients in understanding the risks and rewards associated with derivative instruments, tailor derivative solutions to meet specific objectives and provide ongoing support and guidance for their derivative transactions.

How to Become an Investment Banker?

Becoming an investment banker requires a combination of technical and “soft” skills. An investment banking certification can greatly enhance your candidacy. Networking also plays a vital role in the investment banking industry. Connecting with successful upperclassmen, seasoned professionals, and senior bankers can provide valuable career guidance, interview tips, and potential opportunities. A recommendation from a senior banker can significantly impact your career trajectory.

If you’re a finance graduate with up to 3 years of professional experience, and looking to start your career in investment banking, Imarticus brings to you the Certified Investment Banking Operations Professional course.

Conclusion

Investment banks are adapting and thriving in this constantly changing world. In order to improve their services and offer more individualised solutions, they embrace technology breakthroughs and make use of digital platforms and data analytics. They integrate intricate regulatory frameworks, ensuring compliance while looking for fresh business prospects. 

While investment banks continue to be at the forefront of financial innovation, promoting societal advancement and influencing the direction of international markets, you can become a part of this growing industry with the right motivation and guidance! 

The Impact of Technology on Management Practices

For a business, the most important thing is to achieve success. And in order to accomplish that, they must follow a set of management practices. This not only aligns the tasks of the organisation but also oversees all the aspects of the business to form strategic decisions. Further, these decisions help in driving success to the organisation. 

bba in business analytics course

There are several management practices, like establishing quality control and providing adequate training to employees. These practices have a huge role to play in getting the company’s employees to achieve their target with the given resources. But as we know, with time, technologies have advanced greatly. And like any other realm of human existence, it has highly impacted management practices. 

Here, we will discuss different management practices and the role of technology in impacting them. To understand concepts like these in-depth, one can also go for a BBA in business analytics or an online BBA course.

Different Business Management Practices

The management of an organization is responsible for the well-being of its employees, as well as its stakeholders. Thus, business management practices are of immense importance. Below are some useful management practices that should be applied in every organization.

Communication

It’s essential for every organization to have a clear chain of communication with its employees. This practice helps the company communicate its goals and expectations to the staff and make them understand their roles that fit in the business strategy. 

Assessing Operations of Business

Improving a business and meeting success isn’t an overnight thing. It needs a constant effort from everyone associated with it. Thus, close attention should be paid to every detail of the business. And to do this, an assessment of business operations with the right tools and practices on a regular basis is needed. 

Strategic Planning

Far-sightedness is crucial when one aims for a successful business. That being said, strategic planning is one of the most important practices of an organisation aiming to yield some long-term benefits. Here, quantitative data can be used for making informed decisions. According to the collected data, training can also be reshaped for better results in the future. 

Engagement of Employees

The management practices also include the job of engaging the employees to solve problems, take initiative, and come up with innovative ideas. All these can be done only if the employees and passionate about their job which will happen once they’re aligned with the company’s vision. Also, studies have found that companies with high employee engagement and more profitable. 

Open Management Style

Developing a culture where your employees feel free to come up to you with their ideas and queries gives a boost to the overall functioning of the organisation. Open management style also projects the management as a helping hand for the employees rather than an enforcer. Thus, it empowers the employees and makes them feel an important part of the organisation. 

Impact of Technology on Management Practices

Technology can easily create a huge impact for betterment in any space if used judiciously. Thus, there are plenty of enhancements in management practices with the use of the latest technologies. Some of the crucial impacts are listed below. 

Enhances Decision Making 

One of the most important roles of a manager is to come up with effective plans and decisions. To survive in this competitive environment, one must have the latest technologies with them to collect accurate data at an improved speed. This will then faster the decision-making process with more efficiency. Technology also helps in accessing these data to draw a precise conclusion that will assist the business in being on track to meet its goals. 

Employee Collaboration

With time and the advancement in technology, our lifestyle has completely changed. One major impact is also seen in the way people communicate or collaborate with each other. Especially in the professional setup, collaboration in former conference rooms has changed to video conferencing, allowing them to communicate and share their ideas in the blink of an from where ever they are. To enhance the quality of work along with building a culture in the organisation, some real-time collaboration tools like cloud-based file sharing are essential. 

Efficiency in Operational Tasks

There are many tasks in a workplace that needs to be done on a daily basis or are repetitive in some sense. This needs to be done manually and ends up taking a lot of time for the employees. But with the right technology, one can transform this old setup, saving the time of employees from doing time-consuming and repetitive tasks. Further, they can engage themselves elsewhere without sticking to inefficient manual tasks. 

Management of Business Information

Along with building a business comes the responsibility of managing its confidential information. Thus, it becomes the utmost priority of the management to have a structured and efficient way of managing those documents and contents. And to help the management in doing so comes cutting-edge technology at the rescue. 

Digital Transformation

Be it any kind of business, one needs to keep up with technological advancements and grow alongside social trends to attain success. This means that businesses must transform themselves digitally to survive in the competitive surrounding. 

To do this, there must be a good digital strategy that can be planned only after identifying the gaps present in the organisation. After finding it out, the business should look for suitable technologies and out the transformation one step at a time.

Conclusion

Managerial practices are important for the smooth processing of all the workings of an organisation. It keeps a regular check on various activities of different departments and thus, plans out strategies for their best. To further enhance this process, new-age technologies can be a great boon. Be it security, or communication, there are hi-tech innovations to assist in every possible domain of an organization. 

Thus, it is advisable for any fresher or an existing professional to upgrade themselves with a recently crafted online BBA course that will educate them about the application of the latest technologies in management practices.  

For in-depth knowledge on this, one can enrol for BBA in Business Analytics that empower future business leaders. Here, you will get hands-on experience with new-age tools that will enhance your management skills even more. 

Visit Imarticus Learning to know more about business analytics.

Benefits of Batch Tracking and Periodic Inventory

Businesses are built on two crucial factors, product quality and customer service. 

Batch tracking is an efficient approach to inventory management which plays a crucial role as it impacts on both product quality and customer service. 

global chief supply chain and operations officers course

In addition, periodic inventory management, through keeping track of an inventory in periodic segments, helps to maintain the balance between supply and demand patterns to maximize profit.

While batch tracking enables a business to recognize the source of a problem (quality issues) in the larger supply chain, periodic inventory management reduces the chances of such problems as they help to tailor the goods to meet the customer’s demand.

Methods of Batch Tracking

The three most effective methods of batch tracking in the supply chain are:

Push Strategy

It is a method in which goods are “pushed” down, that is, it essentially tracks the downflow of the product from the initial manufacturing process to the reception by the customers. A company must accurately predict product demand in order to successfully use the push strategy. It is important to know how much of a product is required and when, throughout the year. Businesses can gain valuable insights into how inventory has been used over time and how much inventory they may need to order over the course of a year by using inventory management software.

For instance, a home appliances business might stock hundreds of air-conditioners and coolers in the spring and summer but only a few in the winter. These shops decide how many grills to purchase based on sales records of appliances previously sold. For companies that can precisely predict their customers’ needs, the push technique becomes the most favorable and efficient of all.

Pull Strategy

A pull strategy is an inventory management method in which a store, warehouse, or company “pulls out” goods only when ordered by a customer or employee. Items move upstream in the supply chain instead of moving downstream. This can take a lot of time. Pull techniques are used mainly for luxury or novelty items (products with unpredictable demand). 

For example, many wedding dresses for brides are “not taken off” until the purchaser submits their credit card. These women choose dresses from dress samples and websites, and the final dress is either made or sourced at the time of purchase. It can take months, but customers usually have no problem using it because it is an industry-standard. However, the pull strategy is not suitable for all businesses, especially when customers have immediate access to the same product from another supplier.

Just-in-Time Strategy

Just-in-time inventory strategies are similar to pull strategies. That is, companies order inventory “just in time” to meet customer orders and business needs. Additionally, to successfully implement and accomplish a just-in-time inventory management strategy, one requires reliable suppliers, vendors and third-party logistics partners. Without these, businesses cannot meet customer’s demands.

 Just-in-time warehouse management helps companies reduce inventory costs, reduce inventory, and improve cash flow. On the other hand, businesses that rely on JIT inventory cannot always keep up with demand and may have to overpay for products just to get them to their customers faster.

Methods of Periodic Inventory

The three most effective and commonly used methods of Periodic Inventory can be categorized as FIFO, LIFO, and FEFO. These strategies can be tailored to suit the requirements of the business, as well as, their customers, by adjusting to a favorable interval of inventory management which can be accomplished by determining the approaches mentioned below.

FIFO

FIFO stands for First In, First Out. This strategy of management is mostly useful if the business deals with fast-moving and/or products for consumption, as it will ensure the oldest inventory is sold first.

LIFO

LIFO stands for Last In, First Out. This strategy is not the most commonly used. However, businesses involved with products that do not have a natural date of expiration are often found implementing this strategy. 

FEFO

Lastly, FEFO stands for First Expiring, First Out. This strategy is used in businesses that deal with products with clear expiration dates, as products with expiration dates closest to the date of purchase are sold, used, or otherwise disposed of first, regardless of when they were manufactured or purchased. This strategy is often preferred by businesses in the food industry (perishable products) over FIFO because it focuses on the date of expiration over the date of manufacturing.

Advantages of Batch Tracking

The main advantage of batch tracking is the full traceability it enables. There are many benefits for companies when they monitoring the shelf lives and quality of their products from raw materials to point of sale. Such as,

Safety and Quality control

Batch tracking is essential to inventory monitoring to ensure quality control and safety, as it allows anyone to quickly and efficiently identify all items in the relevant batch when a problem is identified.

Expiration-date Tracker

Expiry date data is used for supply sequencing strategies and marketing and promotions. With batch tracking, one can easily assign expiration dates to entire batches instead of individual items and track inventory that is nearing expiration, so they can initiate promotions, for example,  to increase sales.

Automated Sequencing

Batch tracking also enables businesses to integrate automated sequencing strategies for their inventories like FIFO or FEFO. This practice results in the extraction of the optimum value of inventory by minimizing potential waste.

Recall Process Ability

No one wants a product removed from the market, but removing it before it causes major problems is critical to long-term customer satisfaction. When a recall becomes necessary, lot tracking software allows companies to more quickly send appropriate notifications to their supply chains and affected customers.

Better Product Quality

Knowing what materials are used in a quality batch of products allows you to continue ordering from the best suppliers and avoid those who do not provide the right materials. Overall, this results in better product quality, increased customer satisfaction, and increased sales.

Hassle-free Supply Chain 

Just like the ability to identify good batches that lead to better product quality, so can your supply chain. Batch tracking helps business owners identify the best and most cost-effective vendors and close more deals.

Financial Benefits

Batch tracking supports more informed decision-making and saves costs. Simply knowing the best time to sell a batch of your product based on the expiration date can prevent your inventory from aging past the sell-by date. Knowing when a product needs to be recalled also helps avoid replacement shipping costs and potential legal fees.

Improved Accounting Competency

Processes automated with the help of batch tracking technology can decrease accounting errors and data misinterpretation. Improved visibility makes it easier to monitor the location of all items in batches to see if they are still in stock, in transit, or already sold.

Benefits of Periodic Inventory

The practice of Periodic Inventory management provides several benefits which eventually enable the system to track both purchases and sales over a set period. By utilizing a periodic inventory system you can determine how much money was spent on what, and how many items were sold. Periodic inventory, therefore, not only improves the general quality of the inventory stocks, but also has economic benefits. Some of the benefits of this practice are,

Simplicity

A periodic inventory system primarily simplifies the process of inventory management and documentation. It reduces manual efforts by doing less math, using less paper, and saving time which can be used for other management tasks required.

Economic Efficiency

One only needs to count their inventory at regular intervals. Thus, they might want to buy some barcode stickers and scanners, but these are a cheaper alternative than running sophisticated computer systems that monitor your inventories continuously (or in real-time).

Accuracy

As the main objective is to count the cost of goods sold and the closing inventory, one needs to be patient until the physical check is finished. These physical checks, although time-consuming, provide accurate and in-depth knowledge of the inventory stocks which cannot be achieved by automated systems.

Conclusion

Batch tracking and practices of periodic inventory management, are thus one of the most effective management practices that provide benefits to most businesses through increased visibility and exactness in inventory management. By extension, as a result of these benefits, both indirectly help businesses in maintaining and/or improving their customers’ satisfaction, as well as in raising their product quality. 

To enhance skills in inventory management in a supply chain and other related areas, professionals can enroll in supply chain management courses such as the Supply Chain And Operations Officer course or the IIM Raipur Supply Chain Management program.

For senior executives looking to develop their skills further, Imarticus Learning offers the IIM Raipur Executive Certificate Programme For Global Chief Supply Chain And Operations Officers, providing them with the tools to excel in their roles and drive success in their organizations.

Visit Imarticus Learning to learn more about Inventory management in a supply chain.