Tiger Analytics' Production manager companion is an Intelligent Assistant to help Production Managers make faster, data-driven decisions by providing on-demand access to inventory visibility, demand forecasts, and capacity planning insights for upcoming production cycles.
Production planning is inherently complex, involving multiple inputs from both supply and demand sides. To address this, Tiger Analytics has built a Multi-Agent System using AutoGen that mimics how an expert team would operate. A central Manager Agent orchestrates a suite of domain-specific agents—including Product Discovery, Demand Forecasting, and Optimization Agents—to simulate end-to-end decision workflows.
This modular, AI-driven solution acts as a virtual companion, easing operational load, reducing planning time, and improving forecast accuracy—ultimately helping manufacturers optimize throughput and respond to market dynamics with agility.
Tech Stack
-Autogen for Agent Framework
-Azure OpenAI for LLM
-Azure AI Search for RAG System (not in MVP)
-Azure App Service and Azure Container Services (ACR) for web application deployment
-Azure AI Foundry
Business Benefits
-Improved Operational Efficiency
-Higher Forecast Accuracy
-Optimized Resource Utilization
-Agility in Decision-Making
-Scalable and Modular Intelligence
-Cost Savings and Margin Improvement
-Enhanced Visibility and Governance
