Warehouse Stocking Optimization with Computer Vision

AI-powered computer vision for automated inventory tracking, real-time stock verification, and optimized warehouse operations across distribution centers

The challenge

A logistics company struggled with manual inventory counting and stock verification across multiple warehouse locations, leading to inventory discrepancies, prolonged cycle counts, and inefficient space utilization impacting fulfillment accuracy and customer satisfaction.

The solution

We implemented Computer Vision Warehouse System using Azure AI Vision to analyze camera feeds and automatically detect stock levels, product placement, and movements in real-time. Databricks processed image data for anomaly detection, while PBI provided inventory accuracy metrics.

Measured impact

99%

Inventory accuracy (vs. 85% baseline),

70%

Reduction in cycle count time,

25%

Improvement in warehouse space utilization