AI Inventory Counting for Logistics and Warehouse Operations
Case Overview
Solution: META-aivi
META-aivi combines AI vision and augmented reality to identify and count items during warehouse inventory operations. The system supports inventory counting across large numbers of products and SKUs while reducing dependence on manual counting.
The Case
Inventory Counting Across Logistics Operations
Logistics providers perform activities including consolidation, sorting, storage, and distribution. Depending on customer requirements, operators may also function as wholesalers, storing goods in logistics centers for rapid shipment.
Warehouse personnel must identify and count stored items to assess inventory status. Large numbers of products and SKUs can make inventory counting a significant part of routine warehouse operations.
The Challenge
Managing Large-Scale Manual Inventory Counts
Inventory operations can involve large quantities of products and SKUs. Manual counting is labor-intensive and time-consuming, particularly when personnel must process large volumes of stored goods.
Fatigue and distractions can also increase the risk of counting errors. Logistics operators therefore require methods that reduce the manual workload associated with inventory counting while improving counting efficiency and reducing errors.
The Solution
AI-Based Item Detection and Counting
META-aivi combines AI vision with augmented reality to identify and count items during warehouse inventory operations. The augmented intelligence solution recognizes products based on learned visual characteristics, including shape and packaging.
META-aivi can learn product shapes and packaging using approximately 10% of the samples typically required by ordinary AI vision systems.
The system is compatible with major AR glasses brands and fixed IP cameras and can also operate with smartphones and tablets, allowing it to support different warehouse hardware configurations.
Automated Item Recognition and Counting
META-aivi identifies products based on learned visual characteristics and counts recognized items during inventory operations. Warehouse personnel can use the system to perform inventory checks with AI-assisted item recognition instead of relying entirely on manual counting.