| Quantity: | |
|---|---|
Plastic
TOYOE
| This solution seamlessly integrates with the Warehouse Management System (WMS) using RFID technology to upgrade inventory management. Unlike error-prone, slow manual counting, the integrated system auto-identifies and records goods via RFID tags for real-time, accurate automatic inventory. This streamlines inventory processes and ensures WMS data synchronization, 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 seamlessly integrates with the Warehouse Management System (WMS) using RFID technology to upgrade inventory management. Unlike error-prone, slow manual counting, the integrated system auto-identifies and records goods via RFID tags for real-time, accurate automatic inventory. This streamlines inventory processes and ensures WMS data synchronization, 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%. | |
