Post by HRITIK ANBHORE

Case Study: Agentic AI for Intelligent Procurement Automation Imagine This: What if your next buyer wasn’t a person — but an intelligent AI agent that never sleeps, never forgets, and never misses a discount? Goal: Automate vendor sourcing and reduce delays, errors, and costs in procurement. Business Challenge: A construction firm faced slow, error-prone procurement cycles: Manual quote collection from 50+ vendors Frequent SLA breaches and overspending 7–10 day RFQ-to-PO cycle No real-time visibility into pricing or availability Solution: We built an AI-powered, multi-agent system to automate procurement with minimal human input—transforming it into an intelligent, proactive workflow. Key AWS Services & Workflow: Amazon Cognito: Authenticates users securely Route 53 + Shield + WAF: Secures and routes traffic CloudFront & Amplify: Delivers and hosts the front-end Amazon Lex: Conversational interface for input API Gateway + AWS Lambda: Connects front-end to agent logic Lambda Agents: Perception: Parses BoQ Discovery: Finds vendors (OpenSearch) Negotiator: Sends quotes via SES Compliance: Checks ESG/tax Recommendation: Suggests optimal vendor Step Functions: Orchestrates the entire workflow DynamoDB: Maintains context/session EFS & S3: Stores docs, logs, and BoQs Bedrock + LangChain: Powers agent reasoning and LLM workflows SES: Sends RFQs/emails CloudWatch, X-Ray, Config, GuardDuty: Monitoring & compliance Secrets Manager: Secures API keys Impact: RFQ to PO reduced from 7–10 days to 36 hrs 80% reduction in manual sourcing efforts 12% cost savings <1% error rate in POs Result: Procurement teams now focus on strategy, not paperwork—while AI agents handle sourcing, negotiation, and compliance autonomously.