Bettr, a leading provider of embedded financing and tech solutions under Ant International, today announced the launch of its AI-driven accounts receivable financing solution designed to provide global e-commerce platform vendors with rapid and secure access to working capital as they prepare for the year-end shopping sprees.
Bettr’s solution directly addresses a critical pain point for online vendors on global e-commerce platforms: the need for fast, flexible, and reliable funding to manage increased inventory, marketing spends, and operational costs during the busiest retail period of the year. It leverages advanced AI and machine learning to deliver a seamless experience.
“Our goal is to give the vendors the financial agility they need to capitalize on a massive opportunity,” said Quan Yu, General Manager of Credit Services, Ant International. “By integrating our alternative data-powered credit assessment and risk management directly into the e-commerce ecosystem, we can quickly approve and disburse funds. This is a game-changer for small and medium-sized businesses looking to scale quickly and meet demand.”
The core of the solution lies in its intelligent framework, which combines efficiency with robust security. The AI system analyzes real-time business data on e-commerce platforms provided by the vendors themselves, including invoices, sales history, and customer ratings, to instantly generate a precise credit risk assessment. This enables Bettr to provide loan offers that are tailored to each vendor’s specific needs while also ensuring competitive market rates and efficient application experience for sellers.
Furthermore, the AI platform ensures security through continuous, proactive risk management. Designed in line with data security and compliance requirements, it monitors transactions in real time, identifies and prevents fraudulent activities, and provides ongoing risk assessment. This dual focus on speed and security ensures that vendors can grow their businesses with confidence while the Bettr platform mitigates potential risks.
