AI Architecture & Workflow Automation
6-8 Weeks
Web & Automated Backend
Traditional inventory management systems are static and reactive, requiring constant manual monitoring and lacking the intelligence to forecast demand based on external market trends.
We architected an autonomous, AI-powered inventory system using a multi-agent n8n architecture that translates natural language queries into executable database operations and market analyses.
Deployed an Intent Classifier to route user queries to specialized SQL, Inner Trend, and External Trend agents.
Integrated SerpAPI to fetch external Google Trends data for predictive demand forecasting.
Automated vendor reorder pipelines using the Gmail API triggered by low-stock thresholds.
Achieved zero-touch operations for routine inventory monitoring.
Transformed raw data into human-readable, AI-generated executive summaries.
Enabled proactive restocking based on real-time market data.
