Accurate forecasting of future performance is critical in the trade credit industry where suppliers are expected to make rapid decisions on whether to sell on commercial terms to a business. These decisions used to be based on very limited information. With the explosion of data over the last ten years, the opportunity to utilize this data intelligently has grown exponentially. However, these opportunities often remain unrealized because interpreting vast quantities of complex data is beyond human capacity. Applying machine learning to leverage big data for commercial credit scoring Today, machine learning technology allows us to utilize all data available and to shift from traditional ad-hoc models to systematic models that are accurate, efficient and objective. In this article

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