Inventory Monitoring Using Vision AI

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The Problem We Are Solving: Real-time Inventory Tracking and Monitoring with Vision AI

Warehousing operations and retail stocking procedures face significant challenges in maintaining accurate inventory counts. Traditional inventory management methods—including manual counting, periodic physical audits, and legacy tracking systems— are labor-intensive, prone to human error, and provide only sporadic snapshots of inventory status. These inefficient approaches create costly blind spots in supply chain visibility, leading to overstocking, stock-outs, and substantial operational waste. 

By leveraging vision AI to track real-time shelf inventory, businesses can make data-driven decisions on stock management, product placement, and supply chain optimization, transforming inventory from a static record, to a dynamic, intelligent system.

Current Alternatives on the Market:

To monitor inventory counts the following alternatives are available but fall short in efforts to decrease error in inventory tracking:

• Manual Inventory Checks: Employees physically count and record inventory, which is time-consuming and error-prone.
• Barcode/RFID Scanning: Requires manual scanning and can miss items or have reading errors.
• Periodic Audits: Infrequent checks that don't provide real-time visibility into inventory status.
• Inventory Management Software: inventory tracking is based on sales and when new inventory is received, which is still prone to error.

A computer vision-based inventory management system can identify, track, and monitor inventory items in real-time with high accuracy.

While other computer vision models on the market are expensive and take months to deploy, Groundlight AI is quick to setup, flexible, and easy for anyone of any background to use. 

Groundlight AI beats out the competition because of its ease of integration with your business's existing cameras - no need to buy expensive cameras or equipment.

Groundlight’s Solution: Real-Time Inventory Counting with Computer Vision

• Object Detection: Precisely identify and locate products on shelves
• Object Counting: Accurately track the number of items for each product
• Optical Character Recognition: Read product names into machine-readable text automatically
• Analyze Customer Behavior: Identify when customers are touching certain products as well as returning certain products to shelves

Groundlight AI’s Inventory Counting System utilizes your already-strategically placed cameras, which continuously capture images of your inventory shelves, taking only seconds to provide accurate product counts. Additional cameras can be installed if needed, yet Groundlight AI also works with many USB and WiFi cameras on the market today.

Key Features of Groundlight's Inventory Management Solution:

• Easy Setup: Integrates with existing cameras for real-time inventory location and quantity tracking.
• Scalability: The number of computer vision models you deploy, cameras, and products to track is completely customizable to suit your specific needs. 
• Real-Time Monitoring & Alerts: Groundlight’s computer vision models track any changes made to shelf inventory. Groundlight can customize your alerts, such as sending automated alerts for low stock or misplaced items.‍
• Flexibility: Works with various warehouse or retail layouts.

Impact:

• Reduce inventory holding costs: Minimize excess stock by precisely tracking real-time inventory levels, reducing warehouse storage expenses and tied-up capital.
• Minimize overstock and stockout scenarios: Prevent revenue loss from either having too much unsellable inventory or missing sales due to product unavailability.
• Optimize supply chain efficiency: Enable more accurate demand forecasting and just-in-time inventory replenishment, reducing logistics and transportation expenses. ‍
• Decrease manual inventory labor expenses: Automate time-consuming inventory counting processes, allowing staff to focus on higher-value customer service and operational tasks.