Risk Evaluation of Traditional Retail Enterprise Online to Offline Integration Based on ABC-SVM

Abstract

The paper constructs the risk evaluation index system of the integration of online to offline of
traditional retail enterprises from four aspects: platform operation, internal management, logistics
distribution and information technology. Then by using the global optimization ability of the bee colony
algorithm, the control parameters of the SVM algorithm are optimized, the ABC-SVM risk evaluation model
is constructed, and the evaluation result of simulation model is compared with the evaluation results of SASVM?GA-SVM?ACA-SVM?PRO-SVM to verify the validity and feasibility of the index system and
algorithm.