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The Era of Food Supervision: Global Advancement of "Intelligent Sampling and Inspection" System, Candy Industry Enters a New Compliance Cycle
2025-12-01
Since the beginning of 2025, artificial intelligence (AI) has officially integrated into the global food supervision system. Many countries have announced the full deployment of AI automatic identification systems in links including border inspection, food formula review, and label verification. The food industry has ushered in the most stringent "intelligent inspection era" in history.
Core Innovations of AI Sampling and Inspection
According to public documents released by multiple regulatory authorities, AI systems will cover the following areas:
- Packaging Identification: Automatically identify label violations, false marketing terms, and outdated packaging versions.
- Formula Comparison: Compare formulas declared by enterprises with databases to detect undisclosed additives.
- High-Risk Early Warning: The system automatically identifies products with high sugar, high fat, and high additive content, and lists them for key inspection.
- Intelligent Traceability: AI can track the entire supply chain timeline, identifying suspicious time gaps and missing links.
An industry insider commented: "The era of missed inspections caused by manual work has come to an end."
Significant Increase in Industry Pressure
The high precision of AI inspection is putting many enterprises under unprecedented compliance pressure:
- Inconsistent data → Automatic red flag by the system
- Missing one symbol in label format → Automatic determination of violation
- Mismatch between formula and regulatory standards → Direct customs clearance rejection
While the efficiency of customs checkpoints has improved, compliance requirements for enterprises have also been raised simultaneously.
MiniCrush: Pioneering the "AI-Friendly Factory System"
Minicrush stated that the company's digital factories have long been upgraded in accordance with AI inspection standards:
- Real-time data collection in production processes
- Connection of batch traceability systems with structured databases
- Adoption of international standardized fields for label text
- Matching of factory SOPs (Standard Operating Procedures) with intelligent inspection logic
"Adapting to AI supervision is not a passive response, but a key factor determining whether enterprises can enter high-threshold markets in the future," MiniCrush noted.