Internship: AI-powered assistant within warehouse execution systems
Core
Design, develop, and prototype an AI-powered natural language interface integrated into a Warehouse Execution System (WES) to help production controllers track carriers, stock items, and resolve system exceptions.
Role type
Internship, AI/ML engineer (conversational AI)
Builds
Conversational AI interfaces and prototypes for warehouse operations
Domain
Logistics / Warehousing / AI
Deliverable
product features
Required skills
Python, JavaScript, TypeScript, Java, machine learning, large language models, user research, workflow analysis
Responsibilities
Conduct user research and workflow analysis to identify pain points in daily WES navigation; Design and prototype conversational AI interfaces for quick asset and attribute lookup; Deliver concise and helpful interface results that streamline daily tasks for production controllers; Explore opportunities to assist production controllers in solving active warehouse issues
