Nucleus Software adds AI chatbot to FinnOne Neo Digital Channel solutions

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In an effort to secure contactless lending, Nucleus Software has added a range of powerful new solutions to its market-leading FinnOne Neo digital lending platform. The new channel solutions will enable retail lenders to offer digital contactless lending throughout the loan lifecycle.

Nucleus softwareFinnOne Neo myLoan, an AI-powered conversational chatbot, is developed to help lenders provide self-service on WhatsApp and other instant messaging platforms. The solution dramatically reduces maintenance time while reducing costs and delivering personalized experiences. Another new solution, FinnOne Neo Sales Assist, a web-based channel for finding loans, helps lender agents deliver fast, easy and fully digital financing in retail stores, car dealerships, lifestyle stores. , travel booking offices and other points of sale. The API-based solution addresses a wide range of loan products that can be quickly obtained at the point of purchase and can be easily integrated with external sources for data entry and validation.

Read also: Nucleus Software Launches Virtual Account Management for Real-Time Banking

During the COVID-19 epidemic, where social distancing is expected, 24/7 contactless digital lending is a fundamental requirement. FinnOne Neo’s comprehensive digital channel portfolio includes specialized mobile applications and web portals for customers and staff users of financial institutions.

Sudeep Verma (Global Head-FinnOne Neo) commented: “The COVID-19 pandemic has accelerated the digital switchover. We continue to invest in innovative and sophisticated technologies to help our customers prosper. AI will fuel the next wave of transformation and lending service delivery, customer proximity will be a competitive differentiator. That’s why we’ve added myLoan and Sales Assist to our comprehensive set of digital channel solutions. Our mobile solutions have already processed 9.1 million field audits, 155 million loan management transactions and more than $ 3.4 billion in loan recoveries ”.

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