At the start of 2025, artificial intelligence has officially been integrated into global food regulatory systems. Multiple countries have announced the full deployment of AI automatic identification systems in links such as border inspection, food formula review, and label verification. The food industry has ushered in the most stringent "intelligent review era" in history.
Core Innovations of AI Sampling Inspection
According to public documents from various 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- Packaging Identification: Automatically identify label violations, false marketing terms, and outdated packaging versions.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 enterprise-declared formulas with databases to detect undisclosed additives.
- High-Risk Early Warning: The system automatically identifies high-sugar, high-fat, and high-additive products and lists them for key review.
- Intelligent Traceability: AI can track the entire supply chain timeline to identify suspicious time gaps and missing points.
- Insiders commented: "The era of missed inspections due to manual work is over."
A Sharp Rise in Industry Pressure
The high precision of AI reviews is putting many enterprises under unprecedented compliance pressure:
Inconsistent data → Automatic red card from the system
Missing a single symbol in label format → Automatic determination of violation
Mismatch between formula and regulatory standards → Direct rejection of customs clearance
While the efficiency of customs checkpoints has improved, the compliance requirements for enterprises have also been raised synchronously.
MiniCrush: Taking the Lead in Implementing the "AI-Friendly Factory System"
MiniCrush stated that the company's digital factories have long been upgraded in accordance with AI review standards:
- Real-time data collection in production
- Connection of batch traceability systems with structured databases
- Adoption of international standardized fields for label text
- Matching of factory SOPs with intelligent review logic
"Adapting to AI regulation is not a passive response, but a key factor determining whether enterprises can enter high-threshold markets in the future," MiniCrush believes.
