In recent years, focusing on outstanding issues such as “multiple inspections, repeated inspections, and random inspections” reported by enterprises, the General Administration of Market Supervision has stepped up efforts to guide the Shanghai Municipal Market Supervision Bureau to build an integrated platform for comprehensive supervision, achieve “integrated task delivery, one platform handling at the grassroots level”, and promote the transformation of grass-roots supervision from “manual empirical judgment” to “data integration and empowerment”. Establish a new supervisory mechanism to check the Biliang Code to promote source reduction. Launch a new digital supervision mechanism using “inspection codes” as carriers to promote the reduction of administrative inspections involving enterprises and improving quality without disturbing enterprises. At the same time, relying on the application of “joint inspection codes”, a number of application scenarios such as integrated comprehensive supervision of the catering industry and comprehensive supervision of motor vehicle inspection agencies have been formed. Since this year, the total number of bright code inspections has exceeded 140,000. The number of inspections has decreased by 70% over the same period last year, and the problem detection rate has increased to 19%. Promote accurate supervision and use model research to help improve inspection quality. A “general+professional” credit risk classification model was constructed. The general model covered 5 categories and 81 indicators to grade credit risk for more than 2.9 million business entities in the city; 16 professional credit risk models were created to form a list of 650,000 enterprises in 14 segments; 23 risk warning models were built, and more than 61,000 risk warning clues were generated. The application of scenarios is diversified, and enterprises are “insensitive” in an “off-site” manner. Build an “Internet+ Smart Kitchen” system to automatically catch situations such as unworn work hats, masks, illegal smoking, rat infestations, etc., and promptly push the supervisory end to complete the closed loop of disposal; fully implement “trigger” supervision of A-grade food and special food manufacturers to refine the dynamic risk factors of food production enterprises, clearly including enterprise classification, untrustworthy executees, failure of supervision and sampling, and reporting and verification, and establish an early warning system for food manufacturers to improve the predictive inspection mechanism so that food safety risks can be perceived and predictable police.

In recent years, focusing on outstanding issues such as “multiple inspections, repeated inspections, and random inspections” reported by enterprises, the General Administration of Market Supervision has stepped up efforts to guide the Shanghai Municipal Market Supervision Bureau to build an integrated platform for comprehensive supervision, achieve “integrated task delivery, one platform handling at the grassroots level”, and promote the transformation of grass-roots supervision from “manual empirical judgment” to “data integration and empowerment”. Establish a new supervisory mechanism to check the Biliang Code to promote source reduction. Launch a new digital supervision mechanism using “inspection codes” as carriers to promote the reduction of administrative inspections involving enterprises and improving quality without disturbing enterprises. At the same time, relying on the application of “joint inspection codes”, a number of application scenarios such as integrated comprehensive supervision of the catering industry and comprehensive supervision of motor vehicle inspection agencies have been formed. Since this year, the total number of bright code inspections has exceeded 140,000. The number of inspections has decreased by 70% over the same period last year, and the problem detection rate has increased to 19%. Promote accurate supervision and use model research to help improve inspection quality. A “general+professional” credit risk classification model was constructed. The general model covered 5 categories and 81 indicators to grade credit risk for more than 2.9 million business entities in the city; 16 professional credit risk models were created to form a list of 650,000 enterprises in 14 segments; 23 risk warning models were built, and more than 61,000 risk warning clues were generated. The application of scenarios is diversified, and enterprises are “insensitive” in an “off-site” manner. Build an “Internet+ Smart Kitchen” system to automatically catch situations such as unworn work hats, masks, illegal smoking, rat infestations, etc., and promptly push the supervisory end to complete the closed loop of disposal; fully implement “trigger” supervision of A-grade food and special food manufacturers to refine the dynamic risk factors of food production enterprises, clearly including enterprise classification, untrustworthy executees, failure of supervision and sampling, and reporting and verification, and establish an early warning system for food manufacturers to improve the predictive inspection mechanism so that food safety risks can be perceived and predictable police.