Intelligent Inventory Monitoring AI Agent

An AI agent that monitors inventory levels in real-time, predicts stockout and overstock risks, and sends automated alerts with recommended actions — replacing manual stock checks with an always-on intelligent monitoring system.

Business Problem

Inventory mismanagement costs businesses money in two ways: stockouts lose sales and damage customer trust, while overstocking ties up working capital and incurs storage costs. Traditional approaches rely on periodic manual checks or basic threshold alerts that don't account for demand patterns, lead times, or seasonal trends.

Solution

This AI agent continuously queries inventory and sales data from a SQL database, applies predictive analysis to identify risk situations, and uses OpenAI to generate actionable recommendations. When a product is projected to stock out, the agent calculates the optimal reorder quantity and triggers a notification — before the problem occurs, not after.

Key Features

• Predictive stockout detection — forecasts when items will run out based on demand velocity
• Overstock identification — flags slow-moving items at risk of dead stock
• Reorder recommendations — AI-calculated quantities based on sales patterns and lead times
• Automated alert system — notifications sent to operations teams without manual review
• Multi-SKU monitoring — tracks hundreds of products simultaneously
• Trend-aware analysis — accounts for seasonal demand shifts and sales velocity changes

Business Value

• Reduces stockouts — proactive alerts prevent lost sales from empty shelves
• Frees working capital — avoids over-ordering and unnecessary stock holding
• Saves analyst time — eliminates hours of weekly manual stock review
• Improves supplier coordination — timely reorder signals keep the supply chain flowing
• Scales with the catalogue — handles growth in SKU count without additional headcount

How It Works

The agent runs on a scheduled basis, pulling current stock levels, average daily sales, and supplier lead times from the SQL database. It calculates days-of-stock remaining for each SKU and identifies items falling below the safety threshold. OpenAI processes the flagged items, generates a prioritised action list with plain-English reasoning, and the output is delivered as a structured alert — ready for the operations team to action without any additional interpretation.

Technologies Used

Live Demo

Use Cases

• Retail businesses managing multi-location stock across hundreds of SKUs
• E-commerce stores preventing stockouts during high-demand periods
• Manufacturers monitoring raw material inventory against production schedules
• Distributors balancing stock levels across a product catalogue
• Operations teams looking to eliminate manual daily stock checks