Warehouse Use Case

  • Counting packages accurately is a difficult task in Warehouse Industry
  • Basic sensor-based solutions struggle to tell apart the right items from the wrong ones
  • These sensors cannot differentiate between a correct Company X package and a similar-looking incorrect package on the conveyor

Current Challenges in the warehouse industry caused by manual interventions

  • Rule-based sensor solutions that can be easily manipulated
  • Integration difficulties between sensor data and CRM or monitoring systems
  • Inability to confirm package counts due to missing data or artifacts.

Proposed System

  • AI-enabled Warehouse Counting System identifies correctly labeled company packages
  • Features built-in QR code scanning for verifying metadata
  • Provides on-demand integration with third-party systems
  • Customizable to recognize malpractice situations
  • Stores evidence of counts and malpractice as image artifacts.