Low Efficiency: Single tests take 2-3 hours, and queuing raw materials for testing can easily cause production delays;

High Costs: Chemical reagents, consumables, and manual testing fees account for over 30% of raw material management costs;

Risks Hard to Control: It is impossible to quickly identify issues such as mold contamination or adulteration (e.g., corn mixed with straw powder), leading to losses from raw material quality disputes.

Solutions——

Near-infrared (NIR) intelligent raw material detection system, achieving a Whole Process upgrade:

Rapid Screening: Complete testing of dozens of core indicators, such as moisture, crude protein, and ash content, in 1 minute, supporting "test upon arrival" for incoming raw materials;

Adulteration Identification: Based on a spectral database, accurately identify the types and proportions of adulterants, with an accuracy rate of 98%;

Matrix Product Portfolio: Portable devices combined with laboratory equipment enable real-time testing at raw material origins, during transportation, and in factory labs, intercepting substandard raw materials at the source.

Efficiency Improvement: Detection turnaround time improved by 95%, raw material turnover rate increased by 40%;

Cost Optimization: Reduce testing costs and minimize quality claim losses;

Quality Control: Increase raw material pass rates, ensure formula stability, and maintain product premium potential

Data Empowerment: Build a big data repository on raw material quality to inform procurement strategies and mitigate seasonal price fluctuation risks.