

The HRC-VM Series Smart Vertical Tool Cabinet is purpose-built for high-mix, low-volume (HMLV) tool management. It goes beyond simple storage by supporting used tool recovery and scrapped tool accounting, creating a fully closed-loop digital ecosystem for every tool’s lifecycle.Operating as a 24/7 intelligent attendant, the HRC-VM offers core features such as automated low-stock alerts, ultra-fast 10-second checkout/return, and 100% data accuracy. Designed to integrate seamlessly with ERP/MES platforms, this series is an essential asset for precision cost accounting and high-efficiency inventory optimization in modern smart factories.
| Feature | Technical Details |
| Overall Dimensions (WHD) | 1400mm * 1252mm * 660mm |
| Channel Count | 70 Channels |
| Channel Capacity | 12 - 15 Slots per channel |
| Compartment Size (WHD) | 125mm * 60mm * 300mm |
| Unit Type | Expansion Unit (Scalable Module) |
The HRC-VM Series Smart Vertical Tool Cabinet is purpose-built for high-mix, low-volume (HMLV) tool management. It goes beyond simple storage by supporting used tool recovery and scrapped tool accounting, creating a fully closed-loop digital ecosystem for every tool’s lifecycle.
Operating as a 24/7 intelligent attendant, the HRC-VM offers core features such as automated low-stock alerts, ultra-fast 10-second checkout/return, and 100% data accuracy. Designed to integrate seamlessly with ERP/MES platforms, this series is an essential asset for precision cost accounting and high-efficiency inventory optimization in modern smart factories.
Closed-Loop Lifecycle: Complete management from initial issuance to recovery and disposal/scrapping.
24/7 Unattended Operation: Secure, automated tool access available around the clock without manual supervision.
Rapid Turnover: Streamlined interface allows for checkout or return in under 10 seconds.
Intelligent Stock Alerts: Automatic "Low-Stock" notifications prevent production delays caused by missing tools.
Zero-Error Accounting: Eliminates manual logs, ensuring 100% accurate inventory data for cost analysis.