Mahindra Finance, a leading NBFC under the Mahindra Group, has partnered with Salesforce, a global leader in customer relationship management, to develop Loan Origination Software (LOS) aimed at Micro, Small, and Medium-sized Enterprises (MSMEs). This collaboration is set to improve operational efficiency and boost customer satisfaction, aligning with Mahindra Finance’s digital transformation strategy. It also represents a significant step in expanding the company's MSME lending portfolio.

Mahindra Finance has adopted Salesforce Sales Cloud to boost 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 will efficiently and securely build future-ready solutions on a unified platform, integrating enterprise data, AI, security, analytics, automation, and low-code development.

Arundhati Bhattacharya, CEO & Chairperson, of 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 & CEO, of 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 decisions, boosting accessibility, and delivering customer-centric solutions, we aim to be a preferred and responsible financier to India’s emerging MSMEs”.

The partnership will enable Mahindra Finance to offer faster loan disbursals at competitive interest rates, expanding its MSME lending portfolio. By leveraging advanced analytics, the collaboration will help identify potential credit risks, enhancing customer satisfaction. The new loan origination software will incorporate machine learning, advanced analytics, and automation to streamline credit assessments and improve risk management in real time, leading to greater operational efficiency and improved customer engagement.