| Quantity: | |
|---|---|
Plastic
TOYOE
| This solution achieves seamless deep integration with the Warehouse Management System (WMS), leveraging RFID technology to transform inventory management. Unlike manual counting, which is prone to errors and delays, the integrated system automatically identifies and records goods via RFID tags—enabling real-time, accurate automatic inventory counting. This not only streamlines the inventory process but also ensures data synchronization with the WMS, laying the groundwork for efficient warehouse operations |
The practical value of this integration is verified by real-world tests from a third-party logistics (3PL) enterprise. The results show remarkable improvements: inventory accuracy has been boosted to an impressive 99.98%, minimizing discrepancies that could lead to order errors or stock losses. At the same time, it slashes labor costs by 70% by reducing the need for manual counting teams, directly lowering operational expenses while enhancing the reliability of inventory data
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| Shelf-mounted sensor network monitors temperature, humidity, vibration in real time, uploading data to the cloud via LoRaWAN for predictive maintenance. |
This tech helped an auto parts warehouse lower equipment downtime by 82%. Our AR-assisted picking system, which projects optimal paths on helmet displays, cuts new staff training cycles to 2 hours and raises picking efficiency by 40%. |  |
| This solution achieves seamless deep integration with the Warehouse Management System (WMS), leveraging RFID technology to transform inventory management. Unlike manual counting, which is prone to errors and delays, the integrated system automatically identifies and records goods via RFID tags—enabling real-time, accurate automatic inventory counting. This not only streamlines the inventory process but also ensures data synchronization with the WMS, laying the groundwork for efficient warehouse operations |
The practical value of this integration is verified by real-world tests from a third-party logistics (3PL) enterprise. The results show remarkable improvements: inventory accuracy has been boosted to an impressive 99.98%, minimizing discrepancies that could lead to order errors or stock losses. At the same time, it slashes labor costs by 70% by reducing the need for manual counting teams, directly lowering operational expenses while enhancing the reliability of inventory data
| | |
| Shelf-mounted sensor network monitors temperature, humidity, vibration in real time, uploading data to the cloud via LoRaWAN for predictive maintenance. |
This tech helped an auto parts warehouse lower equipment downtime by 82%. Our AR-assisted picking system, which projects optimal paths on helmet displays, cuts new staff training cycles to 2 hours and raises picking efficiency by 40%. | |
