The Automated Product Counting System is an AI-powered solution that ensures accuracy, efficiency, and transparency in logistics and supply chain operations. Leveraging advanced computer vision models, it can automatically detect and count products—such as bags, sacks, cartons, and boxes – from images or video feeds captured during loading and unloading.
This system helps enterprises verify dispatch and delivery quantities in real time, reduce manual effort, prevent losses caused by discrepancies, and provide a verifiable audit trail across the supply chain. With seamless ERP/WMS integration, scalable deployment, and adaptability to diverse environments, it enables organizations to achieve greater operational reliability and control.
Frequent mismatch between dispatched and received quantities, leading to revenue leakage.
Manual counting is slow, error-prone, and labor-intensive across diverse SKUs.
Lack of real-time visibility and audit trail makes it difficult to track discrepancies.
Operational inefficiencies across multiple logistics partners and hubs increase costs.
These issues result in financial losses, reduced transparency, and poor customer satisfaction.
The system leverages YOLOv8-based computer vision models to detect, count, and verify goods in real time. By analyzing CCTV/IP camera footage or uploaded images, it delivers:
Accurate and automated product counts.
Visual evidence for a complete audit trail.
Seamless integration with enterprise logistics platforms.
Scalable deployment across warehouses, 3PLs, and distribution centers.
AI Models: YOLOv8, R-CNN (complex detection).
Frameworks: Streamlit (prototyping), FastAPI/Flask (backend APIs).
Frontend: Web dashboard (React/Angular optional).
Database: PostgreSQL/MySQL for counts, logs, and audits.
Deployment: Cloud (AWS/GCP/Azure) or on-premise.
Integration: REST APIs with ERP/WMS/Logistics platforms.
Identifies and counts 200+ product types such as bags, cartons, or boxes across diverse logistics and warehousing environments.
Works with live CCTV feeds or static images in varying lighting and conditions, ensuring accuracy and reliability at scale.
Matches dispatched & received product quantities instantly, minimizing mismatches, enabling corrective action on the spot.
Creates logs with timestamped visual proof of shipments, supporting compliance during disputes or audits.
Flexible enough to support multi-site rollouts across warehouses, 3PL partners, and retail distribution hubs with minimal setup.
Continuously improves accuracy with new operational data, adapting automatically to new product formats and business needs.
Reduce manual counting efforts by 80–90%, speed up turnaround times, and ensure smooth workflows during loading & unloading.
Gain real-time visibility into shipment flows, improve efficiency across hubs, and minimize costly operational disruptions.
Maintain precise inventory control, prevent stock mismatches, and reduce delays caused by manual verification processes.
Strengthen trust with customers by offering transparent, verifiable shipment counts and improving service reliability at scale.
Minimize pilferage and discrepancies through audit trails that provide visual proof for every shipment handled.
Integrate seamlessly with ERP/WMS systems and existing CCTV setups, enabling cost-effective adoption without new hardware.
Prevent losses, improve efficiency, and bring transparency to your supply chain operations.
Reduced financial losses by up to 15% due to discrepancy prevention.
Increased operational efficiency by 30–40% in loading/unloading.
Improved workforce productivity by 80% with automation.
Enhanced supply chain visibility across multi-site operations.
Pre-trained and fine-tuned models for 200+ SKU variations.
Works with existing CCTV/IP camera infrastructure.
Flexible edge or cloud deployment options.
API-first design for seamless ERP/WMS integration.
Audit-ready reports with visual evidence.
We developed and deployed this scalable AI-powered product counting solution to detect and count SKUs from images and videos captured during loading and unloading for one of the world’s largest FMCG companies.
Q1. Can the system work with existing CCTV cameras?
Yes, it integrates with standard IP/CCTV feeds already deployed at warehouses and distribution centers.
Q2. How accurate is the product counting?
With standard input quality, the system consistently delivers 95%+ accuracy.
Q3. Can it handle multiple SKUs and packaging types?
Yes, it supports 200+ SKU types and can be trained for new formats as operations expand.
Q4. Does it integrate with ERP/WMS platforms?
Absolutely. It offers REST APIs and connectors for seamless system integration.
Q5. Is it suitable for multi-location deployments?
Yes, it is designed for scalable rollouts across warehouses, 3PLs, and retail hubs.
Q6. What deployment options are available?
Both cloud-native and on-premise setups are supported, depending on security and compliance needs.
