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Agentic AI and the Future of Generative Supply Chain Solution
Shiva Kumar Ramavath, Lead AI Machine Learning Engineer at Albertsons, presents "Agentic AI and the Future of Generative Supply Chain Solution."
Timestamps:
00:00 Introduction: Why Supply Chains Need a Paradigm Shift
01:05 Key Challenges – Volatility, Complexity & Data Silos
03:54 From Generative AI to Agentic AI: The Next Evolution
05:38 Core Architecture: LLM Brain, RAG Layer & Task Agents
08:37 Continuous Learning Cycle: Sense → Reason → Act → Learn
10:14 Use Case 1: Demand Forecasting & Replenishment Automation
17:32 Use Case 2: Phantom Inventory Detection with Multi-Agent AI
22:20 Integration with ERP & Data Ecosystem (SAP, Oracle etc.)
As generative AI continues to reshape enterprise workflows, the next frontier lies in intelligent, autonomous systems—Agentic AI—that go far beyond static chatbots.
This session presents a transformative vision of how supply chain leaders can harness Agentic AI to drive real business outcomes.
We’ll explore how large language models (LLMs), when combined with retrieval-augmented generation (RAG) and task-oriented agents, enable assistants that not only answer user queries but also take initiative: proactively forecasting demand, generating replenishment recommendations, and issuing early warnings for potential stockouts or overages. These generative agents are embedded with supply chain context and connected to real-time data sources, enabling continuous reasoning and decision-making.
The talk will cover:
• Architecture of generative supply chain assistants using RAG + Agentic AI
• Real-world use cases such as inventory classification, phantom inventory detection, and demand prediction
• Integration with enterprise knowledge bases and ERP systems
• Design considerations for explainability, autonomy, and business alignment
Official session recording from the Applied AI Summit 2025
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#AgenticAI #SupplyChain #AIAutomation #InventoryManagement #AIstrategy #DemandForecasting #AIoptimization
