Smart Inventory Tracking for Warehouses & Logistics using AI-Powered Computer Vision

Customer Focus

Warehouse operators, 3PL providers, and distribution centers in India aim to achieve inventory accuracy, faster dispatches, and lower operational costs. Operations and supply-chain leaders seek real-time visibility of goods movement without increasing manpower. The focus is on eliminating manual errors, improving order fulfillment speed, and ensuring accurate stock reconciliation across high-volume logistics environments.

Requirements

The customer required an inventory tracking solution capable of monitoring pallets, cartons, barcodes, and package flow in real time. The system needed to integrate with existing CCTV cameras, WMS, ERP, and barcode systems, support high-traffic warehouse operations, and deliver accurate, automated inventory counts with minimal human intervention.

Manual counting and barcode scanning led to frequent miscounts, misplaced inventory, and delayed dispatches. Traditional systems lacked end-to-end visibility of material movement. High vehicle traffic, peak loads, and shift changes increased errors, while dependency on manpower raised operational costs and reduced scalability during demand spikes.

Pain Points

• Inventory mismatch & shrinkage
• Labor-intensive tracking processes
• Delayed order fulfilment

Lubi Electronics deployed a Computer Vision–based smart inventory tracking system using AI-powered object detection, counting, and movement analytics. The solution tracks pallets, packages, forklifts, and personnel in real time through existing CCTV cameras. Automated data sync with WMS and ERP systems ensures accurate stock updates and faster dispatch decisions.

Solution Highlights

• AI-based pallet & package tracking
• Automated real-time inventory updates
• Scalable edge AI deployment