Customer loss prediction device for gas station

• Main Authors: WANG WANBO, XIAO YONGWEI, DAI SHIFENG, LIU BO, WU HONGWEI, JIA CHANGHONG, LI CHENLIANG
• Format: Patent
• Language: Chinese; English
• Published: 26.03.2024
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention discloses a customer loss prediction device for a gas station, belongs to the technical field of gas station sales management, and particularly relates to loss customer prediction. The problems that in the prior art, explanatory performance is poor, customer transaction behaviors and loss factors thereof cannot be analyzed, and enterprises cannot be guided to provide precise services for customers are solved. The device comprises a data acquisition module, a machine learning module, a machine learning XGBoost classification model module and a deep learning CNN model module. The data acquisition module is used for acquiring customer transaction behavior time sequence data; the machine learning module comprises a feature engineering sub-module and an XGBoost classification model sub-module; and the deep learning CNN model module is used for obtaining a customer loss prediction result. The customer loss prediction device for the gas station is suitable for predicting customer loss of the gas statio