The Indian lending market is one of the fastest-growing and most diverse in the world, with a huge potential for financial inclusion and social impact. According to a report by Boston Consulting Group, the Indian lending market is expected to grow from $1.2 trillion in 2019 to $3.5 trillion by 2024, driven by the increasing demand for credit from individuals, small businesses, and rural segments.
Problems in the lending industry
However, the Indian lending market also faces several challenges, such as high operational costs, low credit penetration, complex regulatory environment, and high credit risk. Traditional lending models rely on manual processes, limited data sources, and rigid criteria, which result in inefficiencies, delays, and exclusions. Moreover, the COVID-19 pandemic has exacerbated the situation, as lenders face increased defaults, liquidity crunch, and changing customer behavior.
To overcome these challenges and tap into the opportunities, lenders need to adopt innovative and agile solutions that can enhance their efficiency, scalability, and profitability. This is where generative AI, a branch of artificial intelligence that can create novel and realistic content, such as text, images, audio, and video, comes into play.
What can generative AI do?
Generative AI can transform the Indian lending landscape by enabling lenders to:
- Automate and optimize the lending process: Generative AI can automate and optimize various steps of the lending process, such as customer acquisition, verification, underwriting, disbursal, and recovery. For example, generative AI can create personalized and engaging marketing campaigns, analyze alternative and unconventional data sources, such as social media, e-commerce, and geolocation, to assess creditworthiness and risk, generate customized loan offers and contracts, and create interactive and empathetic chatbots and voice assistants to facilitate communication and collection.
- Enhance fraud detection and prevention: Generative AI can enhance fraud detection and prevention by identifying and flagging suspicious patterns and anomalies in the data and transactions. For example, generative AI can detect fake or tampered identity proofs and documents, such as Aadhaar cards, PAN cards, and bank statements, by comparing them with the original or authentic versions. Generative AI can also detect fraudulent or malicious behavior, such as identity theft, money laundering, and cyberattacks, by analyzing the behavioral and transactional data of the customers and the lenders.
- Innovate and diversify the lending products and services: Generative AI can innovate and diversify the lending products and services by creating new and tailored solutions that cater to the specific needs and preferences of the customers. For example, generative AI can create dynamic and flexible loan products that adjust to the changing circumstances and requirements of the customers, such as income fluctuations, emergencies, and life events. Generative AI can also create new and niche lending segments and markets, such as peer-to-peer lending, microfinance, and social impact lending, by leveraging the power of the crowd and the network.
Challenges in using generative AI
Generative AI is a new frontier for the Indian lending industry, as it offers immense possibilities and benefits for both the lenders and the customers. However, generative AI also poses some challenges and risks, such as ethical, legal, and social implications, data quality and security issues, and human-machine interaction and collaboration challenges. Therefore, generative AI needs to be adopted and implemented with caution and responsibility, ensuring that it is aligned with the values and goals of the stakeholders and the society.
I am not even going to talk about the compliance risk and the risk of using a pre-cooked model which may not even be similar to the target audience.
Generative AI is not a magic bullet that can solve all the problems of the Indian lending industry, but it is a powerful and promising tool that can augment and enhance the existing capabilities and solutions. Generative AI can help the Indian lenders to become more efficient, scalable, and profitable, while also serving the customers better and faster.
However, smart and crisp solutions are yet to be seen in the Indian market, and this is an area of work for us at Homeville.
