Tag-N-Trac的AI-动力式冷链系统通过实时跟踪温度和位置,削减物流成本,并促进合规。 Tag-N-Trac's AI-powered cold chain system slashes logistics costs and boosts compliance by tracking temperature and location in real time.

AI驱动的IoT物流公司Tag-N-Trac与一家主要制药公司和冷链技术公司合作,部署一个冷链跟踪系统,每年削减数百万美元的费用。 Tag-N-Trac, an AI-driven IoT logistics company, has partnered with a major pharmaceutical firm and Cold Chain Technologies to deploy a cold chain tracking system that cuts costs by millions annually. 解决方案使用一个微薄、轻巧的IoT设备,每15分钟监测温度和位置,每30分钟向TNT可靠性云上传数据,以便在所有运输模式中实时可见。 The solution uses a slim, lightweight IoT device to monitor temperature and location every 15 minutes, uploading data every 30 minutes to the TNT Reliability Cloud for real-time visibility across all transport modes. 由于电池使用寿命高达5周,该系统确保持续监测对温度敏感的药物,将货运截获率从1.93%降至0.3%,并通过云载记录改善林业发展局的合规情况。 With up to five weeks of battery life, the system ensures continuous monitoring of temperature-sensitive drugs, reducing shipment intercept rates from 1.93% to 0.3% and improving FDA compliance through cloud-based records. 预测分析使得能够作出更明智的航运决定,从而能够从昂贵的空运转向更有效的公路和空中搭配。 Predictive analytics enable smarter shipping decisions, allowing a shift from costly air transport to a more efficient mix of road and air. 该平台增强了供应链的透明度、安全性和业务效率。 The platform enhances supply chain transparency, safety, and operational efficiency. Tag-N-Trac的创新扩大到可支配智能标签,扩大了全球物流网络对高价值商品的实时追踪。 Tag-N-Trac’s innovation extends to disposable smart labels, expanding real-time tracking for high-value goods across global logistics networks.