The Smart Logistics AI Agent is a digital assistant designed to make managing shipments easier and faster. Inspired by the challenges logistics teams face in tracking packages, estimating delivery times, and handling delays manually, I built an AI agent that can understand natural language questions like “Where is shipment #123?” and provide accurate answers instantly. It can also take action, such as updating delivery dates, by interacting with a database automatically, saving time and reducing errors. I built the project using a web-based chat interface hosted on AWS S3, a backend powered by AWS Lambda and API Gateway, a shipment database in DynamoDB, and an AI brain using Amazon Bedrock AgentCore. Along the way, I learned how to integrate multiple AWS services, handle AI reasoning safely, and create a system that works autonomously while remaining user-friendly. Despite challenges with connecting services and parsing AI responses reliably, the final agent can intelligently respond to queries, perform actions when needed, and demonstrate the real-world potential of AI in logistics.
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