Anti-theft tool created for the local delivery service that struggled with regular goods losses due to the employee thefts during the weighting and loading.
Optimize risk management in the warehouse and minimize expenses related to the inventory losses and following order failure consequences.
Custom module for the warehouse management system. Its core is a deep learning model that’s able to detect boxes of different sizes on a video stream captured by the on-spot security cameras.
The solution allows enabling automation of box counting. This way the number of available goods units is input to WMS by the tool not giving the ability to employees to enter incorrect data and steal.
- Cameras installed near the scales that have a palette view from all angles,
- Deep learning model to identify data from the captured video,
- WMS module that analyzes collected data and count the selected items,
- Analytics unit that compares numbers to the inventory and order records.
The system improved inventory management for the service provider without significant investments and workflow adjustments. Collected data allowed cutting operational costs and improving staff performance.