Tag: lending

GST Analytics help lenders make SME lending decisions

How GST Analytics help Lenders make SME Lending decisions?

Posted on | by Signzian

As the world moves ever closer to a digital economy, lenders are finding it increasingly difficult to make sound decisions regarding lending to Small and Medium Enterprises (SMEs). With GST analytics, lenders can now use data-driven insights to assess a loan’s risk accurately. In this blog post, we will explore the benefits of GST analytics for lenders and how they can use it to make better SME lending decisions. We’ll also look at how it can be integrated into a lender’s existing systems and processes to maximize its potential. Also, how it can help build customer trust and ensure that lending decisions are fair, accurate, and transparent.

What is GST Analytics?

GST analytics is a data-driven approach to decision-making that can help lenders better assess the creditworthiness of small and medium enterprises (SMEs). It is a cloud-based software platform. It helps lenders assess the creditworthiness of small and medium enterprises (SMEs) by leveraging data from the Goods and Services Tax (GST) network. As a result, GST Analytics allows lenders to make faster and more informed lending decisions by giving them real-time visibility into an SME’s financial health and business performance.

By understanding an SME’s past performance concerning GST compliance, lenders can predict future repayment behavior more accurately and make informed lending decisions.

In addition to helping assess creditworthiness, GST analytics can also help identify opportunities for improvement in an SME’s GST compliance. This information can be used to develop targeted assistance programs that can help SMEs improve their GST compliance rate and, as a result, their access to credit.

How can GST Analytics help lenders?

Small and medium enterprises (SMEs) are the backbone of any economy, and lending to them is crucial for economic growth. However, lending to SMEs can be risky, as they often don’t have the same level of financial transparency as larger businesses.

In addition to challenges arising from the wider business infrastructure, seven key challenges are associated with assessing credit risk. 

  1. Financial information – level of detail, reliability, timeliness
  2. Difficulty predicting future cash flow
  3. Accuracy or relevancy of rating models
  4. Process efficiency and system infrastructure
  5. Data, reporting, and audit requirements
  6. Problem loan management
  7. Business model sustainability

This is where GST Analytics can help. It can help lenders make informed and accurate lending decisions by providing detailed data and insights on SME financials. Here’s how:

  1. Detailed data on SME financials: It provides detailed data on SME financials, including revenue, expenses, cash flow, and more. This data can help lenders understand an SME’s financial health and assess their creditworthiness.
  2. Insights on SME Payments: It also provides insights on SME payments, including late payments, payment terms, and payment history. This information can help lenders assess an SME’s credit risk and make more informed lending decisions.
  3. Real-time alerts on repayments: GST Analytics’ real-time alerts notify lenders of any changes in an SME’s payment behavior. This allows lenders to identify potential red flags and take appropriate action quickly.
  4. Access to expert support: The team can provide support and advice when needed. This ensures that lenders always have access to the latest information and insights when making lending decisions.

What data is used in GST Analytics?

The GST Analytics solution uses data from various sources to help lenders make SME lending decisions. This data includes:

  • Financial data: This includes data on the financial performance of the business, such as revenue, expenses, profit and loss, and cash flow.
  • Tax data: This includes the GST paid by the business and any GST refunds received.
  • Transaction data: This includes data on the sales and purchases made by the business, as well as any payments made.
  • Customer data: This includes data on the business’s customers, such as contact details and purchase history.

What are the benefits of it for SME lending decisions?

GST Analytics is a powerful tool to help lenders make more informed and efficient small and medium enterprise (SME) lending decisions. By providing access to data-driven insights into the financial health of SMEs, GST Analytics can help lenders 

  1. assess credit risk, 
  2. identify opportunities and trends, and 
  3. make better-informed lending decisions.

GST Analytics can help lenders assess the financial health of an SME by providing key insights into their business operations, financial history, and creditworthiness. This information can help small businesses to provide lenders with a secure and verifiable trail of transactions in their supply chain. This will give a true picture of its financial health. As a result, this facilitates trade financing, which is the provision of loans against invoices for such micro and small businesses, since GST data can also be used to determine the creditworthiness and reliability of the other party.

In addition, GST Analytics can also help lenders identify opportunities and trends in the SME lending market, allowing them to take advantage of new business opportunities and stay ahead of the competition.

How to get started?

If you’re a lender looking to make more informed lending decisions for small and medium enterprises (SMEs), GST analytics can be a valuable tool. Signzy’s GST analytics helps lenders identify potential growth areas within their portfolios and establish competitive strategies to take advantage of those opportunities. With the use of GST Data, the entire process gets automated, and with the client’s consent, the entire GST history can be accessed. Thus, providing an estimate of the client’s creditworthiness and financial position within minutes!

Also, real-time access to GST data eliminates the need for excessive paperwork. With a 45% higher completion rate and 30% faster underwriting, our solution can help lenders to get 25% more approvals! Also, lenders can develop more effective marketing strategies and efficiently target customers with this information.

In addition to lenders and banks, MSMEs and other businesses benefit from leveraging GST data for credit underwriting by reducing business costs. Providing an opportunity to use authentic data eliminates the need for operational work, which reduces risk in lending to an incredible degree.

Fast-track loan approvals: The platform’s automated underwriting capabilities can help lenders to fast-track loan approvals for SMEs.

Make better use of data: With its powerful data visualization tools, GST Analytics can help lenders to make better use of data when making lending decisions about SMEs.

Conclusion

The GST marks a major milestone in the market reforms required by the Indian economy. The government is taking strides to regularize the financial setup, making several updates to the filing and implementation process, as reviewed by its committee. This has drastically changed SMEs’ operations, representing an essential juncture in India’s success journey. More revisions are to come as the system evolves.

About Signzy

Signzy is a market-leading platform redefining the speed, accuracy, and experience of how financial institutions are onboarding customers and businesses – using the digital medium. The company’s award-winning no-code GO platform delivers seamless, end-to-end, and multi-channel onboarding journeys while offering customizable workflows. In addition, it gives these players access to an aggregated marketplace of 240+ bespoke APIs that can be easily added to any workflow with simple widgets.

Signzy is enabling ten million+ end customer and business onboarding every month at a success rate of 99% while reducing the speed to market from 6 months to 3-4 weeks. It works with over 240+ FIs globally, including the 4 largest banks in India, a Top 3 acquiring Bank in the US, and has a robust global partnership with Mastercard and Microsoft. The company’s product team is based out of Bengaluru and has a strong presence in Mumbai, New York, and Dubai.

Visit www.signzy.com for more information about us.

You can reach out to our team at reachout@signzy.com.

Lowering The Lending Daze With APIs- A Detailed Look With Top 4 Benefits Of Open API Infrastructure

Posted on | by Signzian

Nearly all organizations now depend on Application Programming Interface (API) technology, and the lending industry is no exception. API technology is a software platform that enables two programs to communicate with one another.

Forbes reports that 85% of companies view web APIs and API-based integration as essential to their corporate strategy and long-term success. Lenders may offer better products, more advantageous loan conditions, and a more effective, seamless customer experience by connecting to third-party data suppliers and aggregators via an open API infrastructure. Intelligent lenders are utilizing this new wave of innovation focused on shared services, allowing them to maintain their emphasis on their core loan goods while using the most recent technological advancements.

However, many firms can feel lost in the jungle and struggle to comprehend how to approach an open API strategy. This does not have to be the situation. You can find success by using the advice and techniques in this blog post.

Why Does Lending Need APIs?

In response to market realities, lenders must act swiftly to present enticing offers to borrowers. Being connected to a network of integrators and providers of third-party data is the finest and most effective way to do this. Simply said, lenders will fall behind if they don’t link to a larger digital ecosystem. Additionally, forward-thinking lenders are learning more about APIs and how they could change the way they provide credit.

Consider the fantastic experiences you have in your life, thanks to app-based platforms. Have you ever used Facebook to log into a service or application, for example? This illustration shows the simplicity of service your loan business can offer its clients by utilizing an open API infrastructure.

The Benefits Of An Open API Infrastructure In Lending

Lenders can change how they provide digital goods and services to all stakeholders, including customers, partners, and staff, by exposing their businesses to APIs and shedding the constraints of their traditional systems.They can essentially transform lending. Among the main advantages are:

  • Accelerated innovation and increased scale- Avoid being overtaken by the competition by having access to reliable partners and data sources that can hasten the release of new goods and services.
  • Boost revenue- by targeting new consumer categories across a more comprehensive geographic range without adding costs or affecting profitability.
  • Integrating credit report and bureau data- into your core lending platform can eliminate manual data entry, reduce margins of error, and enhance laser-focused underwriting. This is by removing the need for paperwork and numerous layers of human approval, which adds time to the underwriting process.
  • Integration of background data and applications- is made more effortless. Data synchronization to and from your back-end systems can be more straightforward if you use standard API services to scale enterprise connectivity and follow best security practices.

However, each lender is distinct and presents borrowers with a different selling proposition. Knowing what functions best for your company is crucial. There isn’t a single universal API strategy. Understand your goals and how to collaborate with the appropriate data suppliers and other third parties to achieve what’s best for you.

Top Tips For Making Your API Strategy A Success

Organizations must take a logical, proven approach to the journey to build API products and participate in the API economy. Steps to take include:

  • Developing your digital strategy- Lack of a compelling digital design could spell doom in an environment of intense competition and virtually daily introduction of new technology. Understanding what you want to achieve with digital technology is crucial and ensuring that it ties in with larger business goals.
  • Align and unite across business units and culture – Ensure everyone is on board and aware of the advantages and how they relate to the company’s goals. You need the entire executive team to back your API strategy; this is not simply the CIO’s or the IT department’s job. There will be a paradigm shift with this for many organizations.
  • Engage a comprehensive digital ecosystem: Senior executives are responsible for expanding the company’s consumer base and enhancing internal procedures. However, they are unable to accomplish this by carrying on as usual. Businesses may identify and seize these opportunities by connecting to external data sources. By putting together (either buying or building) a complete lifecycle API management platform/tools and establishing an API architecture, try to build and nurture your API community. Be sure to implement security best practices.

The Bottomline

Technology, in all its essence, is transforming the lending ecosystem. APIs are the current phase of this. You need to adapt to this amalgamating technology to keep your enterprise in the race. It is impossible to do this alone, so you need a good resource provider.

You can enhance your venture’s processes with Signzy’s resources, including verification and collection APIs designed explicitly for lending and loaning industries. Our products are AI-driven yet do not require any coding. We can find apt solutions for your issues with a fully customizable quiver of options. Check it out here.

About Signzy

Signzy is a market-leading platform redefining the speed, accuracy, and experience of how financial institutions are onboarding customers and businesses – using the digital medium. The company’s award-winning no-code GO platform delivers seamless, end-to-end, and multi-channel onboarding journeys while offering customizable workflows. In addition, it gives these players access to an aggregated marketplace of 240+ bespoke APIs that can be easily added to any workflow with simple widgets.

Signzy is enabling ten million+ end customer and business onboarding every month at a success rate of 99% while reducing the speed to market from 6 months to 3-4 weeks. It works with over 240+ FIs globally, including the 4 largest banks in India, a Top 3 acquiring Bank in the US, and has a robust global partnership with Mastercard and Microsoft. The company’s product team is based out of Bengaluru and has a strong presence in Mumbai, New York, and Dubai.

Visit www.signzy.com for more information about us.

You can reach out to our team at reachout@signzy.com.

Written By:

Signzy

Written by an insightful Signzian intent on learning and sharing knowledge.

 

Employment Verification- Why It’s Primal For Lending?

Posted on | by Signzian

The 2021 Federal Trade Commission (FTC) report states that almost 30% of all financial fraud complaints in the US involved identity theft. This represents a 50% increase from 2020. Among these, loan application fraud was one of the primary sources of complaints, and the identity of the fraudulent buyers and borrowers were usually fake or stolen.

Conventionally, the loaning process for housing has been tedious for both the lender and the applicant. Now add a bit of high fraudulence risk into the mix, and voila, you have the recipe for a potential disaster, a disaster that needs to be avoided. That’s why when the loan application process begins, there is hectic paperwork and back and forth with your lender. The whole deal of underwriting is an intense procedure and includes methods for everyone involved.

One major step in the underwriting process is efficient employment verification. The lender needs to do their due diligence and validate that you are and have been employed to ensure they’re considering all of the user’s income sources. This confirms that the potential borrower can cover their down payment, closing costs, and monthly repayment.

Why is employment verification necessary in lending?

While it seems like just another box to check in the lending process, lenders must verify your employment and all income information to confirm your capability to make your monthly mortgage payment and reduce their risk of giving you the money.

How do mortgage lenders verify their borrowers?

Mortgage lenders verify employment by contacting the concerned borrower’s employer directly. First, they review the borrower’s recent income documentation. These can include an employment verification letter and a recent pay stub. Sometimes it can also have something else that proves an employment history and verifies the income.

Employee verification can take days to weeks if your lender works off of physical forms. However, the process could take mere hours if you work with a lender who requests payroll access for any underwriting.

Are you looking to save time in your mortgage processes? Then, check out Signzy’s resources to innovate and improve them.

When is the employment verification process done for mortgages?

Some lenders verify employment multiple times during the mortgage process:

  • 1)Pre-approval

Working with a lender before you have your dream house picked out in a competitive housing market and learning what kind of mortgage you would qualify for can be a good idea. When you get the preapproval, you may be required to submit information or documents such as bank statements and salary slips to prove your income, the funds you’re using to get the loan, and a credit check.

  • 2)Verifications during the underwriting

Each lender will verify income and employment checks underwriting a mortgage according to their timeline. Generally, it is done anywhere from a few days to a few weeks before your loan is cleared to close. It might be performed again if the timeline to complete was extended to confirm that nothing has altered. 

Experts recommend not making career changes during the underwriting process, finishing another loan payment to avoid impacting your credit score, or getting a new credit card.

To Conclude

Income and employment verifications are a critical part of the home loan process. Still, it can be difficult for those without access to an HR resource to handle the particular paperwork; even when an HR department exists to submit the documentation to lenders, paper forms and conventional PDFs slow down the whole lending process. That’s why the lender’s responsibility is to make the process more convenient and easy.

If you want to make the verification processes easy, then you should avail the services of a good fintech provider. In a world with so many choices, finding the right one is difficult, especially with so many bad options. At Signzy, we ensure that the fintech solution we get you is not manufactured from a blueprint but rather created according to your needs. Our AI-driven API resources help us to customize our way through your problems.

About Signzy

Signzy is a market-leading platform redefining the speed, accuracy, and experience of how financial institutions are onboarding customers and businesses – using the digital medium. The company’s award-winning no-code GO platform delivers seamless, end-to-end, and multi-channel onboarding journeys while offering customizable workflows. In addition, it gives these players access to an aggregated marketplace of 240+ bespoke APIs that can be easily added to any workflow with simple widgets.

Signzy is enabling ten million+ end customer and business onboarding every month at a success rate of 99% while reducing the speed to market from 6 months to 3-4 weeks. It works with over 240+ FIs globally, including the 4 largest banks in India, a Top 3 acquiring Bank in the US, and has a robust global partnership with Mastercard and Microsoft. The company’s product team is based out of Bengaluru and has a strong presence in Mumbai, New York, and Dubai.

Visit www.signzy.com for more information about us.

You can reach out to our team at reachout@signzy.com.

Written By:

Signzy

Written by an insightful Signzian intent on learning and sharing knowledge.