| Quantity: | |
|---|---|
Plastic
TOYOE
| This solution embeds NFC chips in packaging/products to enable full-process goods tracking. Unlike traditional methods that only capture partial logistics data, NFC chips record key info at every stage (production, warehousing, transportation, delivery). Users scan the chip to get real-time, detailed insights into goods’ location, status, and handling history, eliminating supply chain blind spots |
An automotive OEM validated this full-process tracking’s effectiveness. For the OEM—reliant on a complex parts supply chain—the solution boosted supply chain transparency to 98%, ensuring clear visibility into every link. This lets the OEM quickly address issues like delays/misplacements and build partner trust via verifiable, accurate logistics data
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| WMS system deep integration enables RFID-based automatic inventory (99.98% accuracy); our predictive maintenance model, leveraging IoT sensor data, provides 30-day early warnings for box fatigue damage, boosting equipment lifespan by 40%. |
A multinational enterprise, after applying this solution, cut its global supply chain response time to within 48 hours and lowered inventory holding costs by 28%. |  |
| This solution embeds NFC chips in packaging/products to enable full-process goods tracking. Unlike traditional methods that only capture partial logistics data, NFC chips record key info at every stage (production, warehousing, transportation, delivery). Users scan the chip to get real-time, detailed insights into goods’ location, status, and handling history, eliminating supply chain blind spots |
An automotive OEM validated this full-process tracking’s effectiveness. For the OEM—reliant on a complex parts supply chain—the solution boosted supply chain transparency to 98%, ensuring clear visibility into every link. This lets the OEM quickly address issues like delays/misplacements and build partner trust via verifiable, accurate logistics data
| | |
| WMS system deep integration enables RFID-based automatic inventory (99.98% accuracy); our predictive maintenance model, leveraging IoT sensor data, provides 30-day early warnings for box fatigue damage, boosting equipment lifespan by 40%. |
A multinational enterprise, after applying this solution, cut its global supply chain response time to within 48 hours and lowered inventory holding costs by 28%. | |
