Inferred Case Counts and Location Occupancy: Unlocking Deeper Inventory Intelligence

Gather AI’s platform now provides inferred case count and location occupancy capabilities, expanding the value of drone-collected data and giving warehouse teams a new layer of actionable insight without additional scanning or labor.

By combining computer vision and AI-based inference models, the platform goes beyond identifying whether a location is occupied. It can now estimate how many cases are present in a pallet or location, giving users a clearer view of inventory density, trends, and storage utilization.

‍Smarter Insights from the Same Flight

The enhanced functionality works within the same autonomous drone flights already used to capture pallet and location data. No new workflows are required. As drones scan warehouse racking, they collect high-resolution images. These images are processed to determine:

• Whether a slot is full, partially full, or empty
• Estimated case count based on visual pattern recognition
• SKU volume patterns across different zones and time periods

This information enables more accurate forecasting, improved putaway logic, and better space utilization planning, without increasing labor requirements.

‍Key Capabilities

• Prevent pick shorts: Compares to case counts reported in the WMS and flags locations where there are count discrepancies to ensure all orders can be fulfilled
• Inferred case count: Estimate the number of cases within a location or pallet using image-based data
• Location occupancy analysis: Identify underutilized or overloaded storage slots in real time
• Reduced counting time/cost: IC counts are more targeted, with a higher rate of identifying count discrepancies
• Trend visibility: Monitor changes in inventory density and storage behavior over time
• Data integration: Output can be fed into WMS or Gather AI’s dashboard to support operational decisions

Operational Impact

Understanding not just where inventory is, but how much inventory is present, helps warehouses make better decisions around replenishment, slotting, and throughput planning. These insights are particularly valuable in environments with high SKU variability or changing storage needs, such as cold chain, food and beverage, and high-velocity distribution centers.

This added layer of intelligence supports Gather AI’s broader goal: to act as an agentic co-pilot for intralogistics teams, driving on-time, in-full delivery through smarter, more automated decisions.

To explore how inferred case counting and location occupancy can optimize your warehouse operations, contact our team.