It is therefore essential to ensure that these businesses have access to the financing and resources they need to grow and succeed. However, formal sources of credit only reach about 39% of MSMEs, according to Government data. This gap is caused not only by lack of credit supply, but also because of the absence of easily available and accessible collateral free sources of credit.
With traditional banks becoming increasingly risk-averse, fintechs are uniquely positioned to fill this role by providing the funds and financial services MSMEs need to stay competitive and remain profitable. Moreover, the use of technology can also help SMEs reduce costs and make their operations more efficient.
FinTechs & NBFCs: Simplifying Borrowing For Today’s MSMEs
Fintechs have revolutionised the lending process for small and medium-sized enterprises (SMEs). By leveraging technology, these companies are able to offer simple, easy to use services and highly competitive interest rates. This, combined with the lower overhead costs associated with online financing, makes fintechs an attractive option for MSMEs looking to access capital quickly. What’s more, in comparison to traditional banks and lenders, fintechs are also much faster in processing loan applications.
Traditional lenders often lack the flexibility and speed needed by MSMEs. Moreover, many fintechs provide funding to businesses that lack sufficient credit history and/or collateral, which can be difficult to come by in these situations. Additionally, fintechs also provide specialised business loans tailored to specific industries, such as real estate, technology, and healthcare.
In the lending and fintech environment, there are distinct types of players such as payment aggregators, surrogate players and lending-tech players. However, there are some challenges associated with all these models.
Payments data based lending and the challenges associated with collections:
Payment Aggregators are third-party services that act as a bridge between buyers and sellers in the financial technology space. In the simplest terms, they gather payment information from buyers and connect them to the seller’s payment processor or merchant account. In this model, merchants are aggregated across spectrums, right from a fish vendor on the street to a Ferrari showroom.
- While payment aggregators have merchant transaction data, through which they offer credit to merchants, the data is never exhaustive and/or exclusive. The same data is reflected in the bank statements of merchants and can easily be tampered with, as well.
- The number of daily transactions are not reflective of a merchant’s true business potential as cash and multiple payment services are quite often a norm.
- For payment aggregators, it’s hard to create one coherent policy that could service a roadside vendor to a large format retail store.
- Since large sums of money is already spent to acquire these merchants, some of the companies have tried to retrofit credit products in this space but it increases the risk beyond acceptable and profitable limits.
- Substantial number of acquired merchants for this segment are the long tail merchants who are roadside vendors or small stores, based on their transaction history and without complete credit assessment it is also hard to give them a credit which can create meaningful impact to their business.
Surrogate players and the need to maintain relationship with merchants:
Companies offering physical products, business management solutions or solving for trade problems of SMEs, have also started to venture into lending to merchants with the purpose to scale their business.
- They have access to a part of the merchant data but it’s often only fractional and cannot be easily extrapolated to their business performance.
- In many cases, since lending is not their core business, they tend to write off a high number of loans in order to maintain healthy relationships with merchants.
- Based on the player category in this space, it has also been observed that merchants can tinker with data to create favorable lending lines.
Lending-first Approach for the Win:
Despite numerous advances in the fintech sector, the lending-first approach remains unbeatable. This approach to financing involves lending decisions based on factors such as credit score, banking, GST, business performance, physical stock, transaction flow data, savings, network diversity and geographical patterns. By focusing on these factors, lenders can reduce the risk of default and ensure that borrowers are able to meet their obligations. This allows fintechs to provide reliable and safe financing options to MSMEs, providing them with the capital they need to succeed in the global market.
Lending first model allows to manage impeccable risk as:
- The credit-worthiness is observed in its entirety, just not transaction data or surrogate data.
- Only those merchants/customers are on-boarded where there is upfront interest in availing credit, enabling for strong unit economics.
- Ability to create specific products for each category or scale of merchant.
- Ability to do physical checks to ensure the data uploaded digitally reflects the true reality of the business on the ground.
- Lastly, robustness of the business to any changes in the market, policy, regulatory or app store changes.
Today, the world of finance is undergoing a radical transformation and fintechs are leading this charge by making the traditional financial system more accessible and efficient. It is safe to say that for fintechs to be successful, they must focus on the “lending first” approach as this strategy places the consumer at the center of the lending process and allows them to receive access to finance quickly, securely, and efficiently. It is important for businesses to understand the need for responsible lending. Lending is not about credit assessment alone, it is about understanding the intent of the merchant, managing credit risk and focusing on loan recovery process.
With the wheels set in motion by FinTechs, the MSMEs of India can play a vital role in the country’s goal of touching a $5 trillion economy by 2027.
The author is the Co-founder of ftcash.