Acceliot Introduces AI-Powered RFID for Next-Generation Warehouse Automation

Acceliot, Inc. launched its Smart Space Portal (SSP) architecture, a breakthrough software-defined radio frequency identification (RFID) platform that delivers automated scan precision for pallet and item movement at warehouse dock doors.

By combining supervised machine learning with existing RFID infrastructure, the solution enables logistics operators to achieve advanced automation and real-time visibility without new hardware or installation complexities.

“Our SSP approach marks a shift from hardware-bound portals to intelligent, software-defined infrastructure,” says Shawn Manesh, CEO at Acceliot. “By transforming existing dock doors into AI-powered automation points, organizations can modernize their supply chains and achieve true, end-to-end visibility.”

Key takeaways:

• Acceliot SSP transforms dock doors into intelligent control points using software, removing the need for rigid tunnels, RF shielding, or specialized antennas. Acceliot SSP uses advanced machine learning to accurately identify valid RFID reads in open dock settings, providing flexibility and high precision without disrupting warehouse workflows.
• Acceliot SSP delivers verified, error-free pallet- and item-level RFID data directly to ERP and WMS platforms, enabling automated receiving, shipping, and inventory reconciliation. This trusted data stream supports dynamic routing, exception-free billing, and predictive analytics, eliminating the need for manual data intervention.
• Acceliot SSP employs RF-optimized, supervised machine learning to filter stray and duplicate RFID reads in real time, capturing only true movement events. Fully-compatible with existing readers and antennas, it transforms standard doors into intelligent gateways without the cost or disruption of new hardware installations.
• Acceliot SSP integrates seamlessly with any fixed RFID reader and Acceliot STARflex as well as standard UHF antennas. The platform enhances existing RFID portals by minimizing read errors and generating cleaner, more reliable data, protecting enterprise infrastructure investments while significantly improving overall accuracy.