The lending industry has new opportunities due to a rise in efficient technology and new types of lenders. There has been rapid adoption of technology to streamline the overall process of getting a mortgage, personal and business loans, enhancing the consumer experience into a smoother and faster one and expanding consumer access to financing products. While many banks are working on providing a smoother loan application experience by digitising the lending workflow process and front-end platform. However, the digitisation of the industry still needs to be improved by leveraging modern technology and data effectively. Many banks still take 2 – 4 weeks to process the loan because of labour-intensive processes, the complexity of the technology landscape and the fragmented system.
Lenders using AI and ML modelling have seen improvements in loan assessments, default pattern identification, and accurate customer behaviour prediction. This helps banks to flag risky loans and make informed decisions to minimise losses.
Traditional lenders often struggle to see the E2E customer journey because data is dispersed between multiple channels and touchpoints. Thus, they lose the insights from all that data to drive a better customer experience.
Reshaping the lending Industry with Novel Approach and Modern Technology
Non-bank lenders continue to grow popular –Non-bank lenders have invested heavily in the digitisation of user interfaces that simplify application submission, processing and collaboration with customers through real-time communication using digital channels. They offer low-cost, high-value lending products while providing users with an easier path to obtaining loans.According to Oracle’s Digital Demand in Retail Banking study of 5,200 consumers from 13 countries, over 40% of customers surveyed think non-banks can better assist them with personal money management and investment needs, and 30% of respondents who haven’t tried a non-bank platform said they’re open to trying one.This means bad news for traditional banks that are still slow to transition and apply digitised tools to deliver differentiated lending services.Neo banks operate entirely online and provide credit and lending services digitally. It leverages data models to understand customer needs and behaviours to attract new customers and retain existing customers.
Optimizing Customer ExperienceBased on the study conducted by McKinsey & Company, 60 per cent of customers say they are comfortable with a completely online application. Personalisation, reassurance, transparency, simplicity and speed are vital to attract and retain the customers. With information like demographic data, behavioural data, psychographic attributes, cash flow of customers, and alternative data sets – like social media data, and partner ecosystem data, the banks can construct meaningful customer insight and build products that serve customer needs.Banks should prioritise getting things right first time, offering quick, precise, 24×7 status updates, pre-approval within 24 hours, and providing a single point of contact. AI and machine learning empower lenders to provide highly personalised experiences to customers. Lenders must build advanced algorithms to collect customer data, analyse financial profiles, and suggest customised lending options. Furthermore, the platforms could leverage crowd wisdom to source the best rates, guaranteeing customers the most competitive offers. The integration of hyper-personalization with AI and machine learning has significantly improved the lending journey, delivering convenience, efficiency, and unmatched customer satisfaction.An agile tech stack with seamless integrations, including access to lifestyle and contextual data, such as social media, to provide banks with a complete picture of prospects so that offers can be tailored for outstanding customer experience.
Third-Party Technology Providers and Open Banking for NextGen LendingOpen banking helps create a value-driven, profitable lending journey that retains market share and margins.The future banking practice demands opening customers’ entire financial footprint to trusted third parties, including mortgages, savings, pensions, insurance, and consumer credit dataBy harnessing unconventional data sources, open banking performs a holistic assessment of customer creditworthiness It also helps with income verification, Know Your Customer (KYC) confirmation and customer onboardingThird-party technology and data providers are leveraging open banking to support the banks. Their activities involve marketing lending products, gathering borrower information, and underwriting, closing, or funding a loan. The expansive list of services is available, including loan origination platform, workflow management, document extraction and management, income and asset verification, employment verification, title verification, appraisal management, e-closings, automated compliance, and decisions model.
Cloud-based SAS solution – Improved time to market and customer experienceThe digitisation of the Loan origination system (LOS) helps to enable self-servicing for the broker and the bank’s sales team, provide real-time collaboration, and increase transparency. Many Fintech and Product firm offer SAS solution on the cloud that helps the bank to implement the solution much quicker and faster cloud analytics services enable the correct set of tools to develop the data model and insight that would significantly help to keep the lender products competitive and help retain the customer longerCloud-based interoperable solutions enable lenders to benefit from multiple APIs and other technology that enhance the user experience and allow for new propositions to be brought to market swiftly and safelyAdoption of SaaS cloud-based solutions helps create a portal between the lender, borrower, and other mortgage stakeholders, offers immense potential to automate processes through self-servicing, improve opportunities and accuracy, and reduce costs and workloads.
ESG: Driving Sustainability and Inclusion in Mortgage ServicesESG Integration: Organizations worldwide, including community financial institutions, are prioritising ESG considerations in their corporate agendas. This includes local banks focusing on mortgage lending to promote diversity and inclusion and improve the lives of their customers and communities. Technology-driven Solutions: Banks are harnessing technology and advanced analytics models to incorporate ESG risk to enhance risk assessment accuracy and reduce funding costs. This enables them to issue mortgages at lower rates, reducing costs for both banks and borrowers. Expanding Homeownership Opportunities: Affordable homeownership aligns with ESG goals, promoting sustainability and inclusion within mortgage services. Lower costs and improved risk assessment enable a more accessible housing market, fostering economic stability and improving quality of life.
The risk mitigation of lending and its volatile market can be controlled by leveraging data and innovative technology solutions. AI and ML data models improve fraud and risk management and proactively detect and reduce risk exposure. Adopting SaaS and cloud computing offers flexibility, efficiency, security, increased collaboration, reduced costs, and improved time to market.
Banks can cut down 30 – 40% of operating costs through E2E automation and redefine customer journey by leveraging third-party services and open banking ecosystems. This advancement not only enhances the reliability and value of data but also enables banks to make better-informed decisions. Moreover, it also opens new avenues in the lending market, expanding its potential reach.
ESG factors are revolutionising the mortgage and business loan services industry. Cutting-edge technology solutions empower eco-friendly approaches, broaden access to homeownership, and foster financial inclusivity. This ultimately yields advantages for both financial institutions and borrowers alike.
