Warehouse Management System – Predict Shipping Delays | UiPath Coding Agent Project

Описание: Discover how AI + RPA can transform warehouse operations and prevent shipment delays before they happen.

In this project, we built an intelligent Warehouse Management System automation using UiPath Coding Agents, UiPath Studio, and AI-powered delay prediction workflows.

The solution automatically extracts shipment data from a Warehouse Management System (WMS), analyzes risk patterns using an AI Agent with Retrieval-Augmented Generation (RAG), and predicts shipping delays in real time.

When a shipment is identified as high-risk, the automation proactively alerts managers and recommends alternative suppliers with lower delay probability — helping logistics teams reduce disruptions, improve delivery performance, and make faster decisions.

What This Project Covers

✅ Automated WMS data extraction using UiPath RPA
✅ AI-powered shipping delay prediction
✅ RAG-based analysis using historical shipment data
✅ Business rule evaluation and exception handling
✅ Proactive Outlook notifications and escalation workflows
✅ Supplier risk reduction recommendations
✅ End-to-end automation generated using UiPath Coding Agents + Claude Code

Technologies Used
UiPath Agent Builder
UiPath Studio
UiPath Automation Cloud™
Claude Code
RPA + AI Agents + RAG Architecture
Outlook Integration
Excel & Internal WMS Systems
Industry Use Cases

🚚 Logistics
🏭 Manufacturing

Key Benefits
Reduce manual shipment monitoring
Detect delays before they occur
Improve on-time delivery performance
Minimize operational bottlenecks
Enable proactive decision-making
Increase supplier reliability
Achieve faster ROI through automation
Workflow Overview
UiPath Robot extracts shipment data from the WMS
AI Agent analyzes shipment risk and predicts delays
Business rules evaluate risk thresholds
High-risk shipments trigger alerts and escalation
Managers receive actionable recommendations instantly

This project demonstrates how modern AI-driven automation can move organizations from reactive logistics management to proactive supply chain intelligence.

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