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    HomeLatest NewsMahindra Finance and Salesforce Partner to Digitize MSME Lending

    Mahindra Finance and Salesforce Partner to Digitize MSME Lending

    Mahindra Finance, part of the Mahindra Group and one of the leading NBFCs in India, recently announced a partnership with Salesforce to develop Loan Origination Software (LOS) for Micro, Small and Medium-sized Enterprises (MSMEs), to enhance operational efficiency for customer satisfaction.

    Mahindra Finance has adopted Salesforce Sales Cloud  to improve its  productivity with built-in AI, providing an integrated experience and creating a single, unified view of every customer. By leveraging the Salesforce Platform, Mahindra Finance aims at building future-ready solutions on a unified platform, integrating enterprise data, AI, security, analytics, automation, and low-code development.

    Arundhati Bhattacharya, CEO and Chairperson, Salesforce India, said: “We are excited to collaborate with Mahindra Finance to transform their MSME lending business in an era where agents and human expertise are essential for achieving customer success. With Salesforce, Mahindra Finance can maximize their data, drive growth, adapt for any experience and build customizable solutions addressing their business and technology needs.” 

    Raul Rebello, Managing Director and CEO, Mahindra Finance said: “The collaboration with Salesforce is a testament to our commitment towards innovation, customer excellence and risk management in our MSME lending goals. By enhancing credit decisioning, boosting accessibility and delivering customer centric solutions, we aim to be a preferred and responsible financier to India’s emerging MSMEs”.

    The collaboration will help Mahindra Finance’s customers in faster loan disbursals at competitive interest rates in an expanded MSME lending portfolio. It will also use advanced analytics to identify potential credit risks for improved customer satisfaction.

    The new loan origination software will integrate advanced analytics, machine learning, and automation to streamline credit assessment and enhance risk management on a real-time basis thereby improving operational efficiency and customer engagement.  

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