Elevating Inventory Management with AI for the Aviation Industry

Advanced Image Recognition for Inventory Counting

We leveraged YOLO for real-time object detection, enabling precise identification and counting of soft drink categories from images, which enhances inventory accuracy and minimizes manual errors

Predictive Inventory Forecasting

System utilized advanced ML models to analyze historical inventory data and predict optimal stock levels for flights, ensuring a balanced supply and maximizing fuel efficiency

Automated Image Annotation with CVAT

We integrated CVAT and connected it with S3 to automate the annotation of training images after inference is completed. This enhances model accuracy and significantly reduces the manual effort required for data labeling

Real-Time Anomaly Detection

We employed AI to monitor inventory data and identify anomalies, such as discrepancies in stock levels or unexpected usage patterns, allowing for prompt corrective actions and reducing the risk of inventory issues

Tech Stack

Python
AWS OpenSearch
BedRock
Langchain

Overview

AI-driven inventory management system designed for warehouse managers and agents in the aviation industry. We developed a solution that automates inventory tracking, forecasting, and anomaly detection, reducing manual effort and optimizing supply management to maintain weight and fuel efficiency in flights.
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