The General Administration of Market Supervision guides the Shanghai Market Supervision Bureau to fully utilize digital technology to support the construction of a new supervisory mechanism.

In recent years, focusing on the prominent problems such as "multiple inspections, repeated inspections, random inspections" reflected by enterprises, the State Administration for Market Regulation has increased efforts to guide the Shanghai Municipal Administration for Market Regulation to create an integrated regulatory platform, achieve "integrated task assignment, platform-based disposal at the grassroots level," and promote the transition of grassroots supervision from "manual experience judgment" to "data coordination empowerment". Constructing a new regulatory mechanism, promoting source reduction through the clear coding of inspections. The launch of a new digital regulatory mechanism based on "inspection codes" promotes the reduction and improvement of administrative inspections for enterprises, while relying on the application of "joint inspection codes" to form integrated comprehensive supervision of the catering industry, cross-departmental comprehensive supervision of motor vehicle inspection institutions, and other application scenarios. Since the beginning of this year, the cumulative number of inspections with clear coding has exceeded 140,000, a 70% decrease in the number of inspections compared to the same period last year, and the problem detection rate has increased to 19%. Promoting precise supervision and using model analysis to help improve the quality of inspections. Building a "general + professional" credit risk classification model, the general model covers 5 categories and 81 indicators, classifying the credit risks of over 2.9 million operating entities in the city; creating 16 professional credit risk models, establishing a list of 650,000 enterprises for seamless supervision in 14 subdivided areas; constructing 23 risk warning models, generating more than 61,000 risk warning leads. Diversified application scenarios allow enterprises to be "unnoticed" through "non-site" methods. Establishing an "Internet + transparent kitchen" system to automatically detect situations such as failure to wear hats, masks, smoking violations, rodent infestations, etc., and promptly push them to the regulatory end for disposal; fully implementing "trigger-based" supervision for A-level food and special food production enterprises, refining dynamic risk factors for food production enterprises, defining 10 risk warning scenarios including abnormal listings of enterprises, legal persons listed as dishonest executors, unsatisfactory supervisory sampling results, and verified reports, and establishing a warning system for food production enterprises to improve the cause-check mechanism, making food safety risks perceptible and predictable.