Data processing system and method for commodity sales

The invention relates to a data processing system and method for commodity sales, and belongs to the field of data processing, and the system comprises a model application mechanism which is used for employing an intelligent data processing model to intelligently analyze the predicted value of each sold number corresponding to various types of commodities in an unattended store in the day when the day arrives in the early morning; and the strategy analysis mechanism is used for analyzing the early morning replenishment strategy of various types of commodities in the unattended store based on the prediction numerical value. According to the invention, aiming at the technical problem that the unattended store is easy to be excessive or insufficient in replenishment due to the fact that the sales volume of various commodities in the future is difficult to predict, an artificial intelligence mode can be adopted to effectively predict different sales volumes of various commodities in the unattended store in the fu