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Qupital provides its service to eBay’s cross-border e-commerce sellers

By Edil Corneille

June 24, 2020

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Qupital, FinTech, Hong KongQupital, a Hong Kong-based FinTech platform, has entered into an agreement with global e-commerce platform eBay, as one of the officially recommended Hong Kong financing service providers. The partnership encompasses the provision of quality data-based offshore financing services by Qupital to eBay sellers in Greater China via ‘QiaoYiDai’. Qupital will assist sellers in resolving their cash flow and working capital issues.

QiaoYiDai aims to provide a digitalised financing solution using e-commerce statistics and big data, including the credibility of their online shops, historical transaction data, rating data, refund and exchange rates of goods, among a plethora of other data points.

The collaboration with eBay enables Qupital to obtain real-time data authorised by eBay sellers through API channels. This maximises the value of the sellers’ operational data for credit control purposes. The company is able to facilitate a fully online application experience, a credit assessment process completed on average within 3 working days and all drawdown requests to be settled within 24 hours.

Johnny Tang, Chief Business Officer, Qupital enunciated, “The greatest value of fintech-driven financing lies in the use of big data to improve financing efficiency, risk control, and client experience. Qupital believes that the cooperation with eBay will significantly enhance such values and benefit a large number of cross-border e-commerce merchants.”

QiaoYiDai provides an average credit limit of USD 150,000, with a maximum credit limit of up to USD 1.5 million for qualified sellers. Qupital is thus able to closely monitor real-time changes in the seller’s operational situation at key credit control stages before, during and after the provision of a loan by utilising the data-based credit model. The company is also able to configure automated alerts for red flags and take precautionary measures when adverse business trends (such as a significant decrease in sales, a surge in costs) are detected.

Qupital has revealed that it is developing machine learning capabilities to further improve the precision of its credit decisions and to predict the future business performance of its customers. The company has mentioned that to date, it has maintained a financing NPL ratio for its e-commerce business at a much lower rate than the industry average.

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