AI Use case
Order Processing Agent
Application: Webapp
AI Frameworks: Azure OpenAI (NLP & OCR), Python-based Processing
AI Category: Document Extraction, Order Processing Automation, Data Validation
AI Platform: Microsoft Azure (Blob Storage, Functions, Cosmos DB)
Document Upload
Users can easily upload order documents in formats like PDF, DOC, XLSX, JPG, or PNG through a clean and intuitive web interface. The drag and drop option and built-in file preview help confirm the correct document before submission.

PO Extraction
Once a document is uploaded, the agent automatically extracts key details such as vendor, buyer, shipping, billing, and financial information. These details are presented in a clean structured view, enabling users to quickly review purchase order data without manually scanning the document.

PO Extraction
Once a document is uploaded, the agent automatically extracts key details such as vendor, buyer, shipping, billing, and financial information. These details are presented in a clean structured view, enabling users to quickly review purchase order data without manually scanning the document.
Inventory check
The agent analyzes item wise inventory levels to provide real time insights into stock availability. It highlights shortages and triggers low stock alerts, ensuring proactive replenishment and preventing delays in order fulfillment.

Fulfillment Score
The agent calculates a customer satisfaction score by analyzing purchase order fulfillment accuracy and inventory match. Any delays, shortages, or mismatches are factored into the score, helping businesses track performance.

Fulfillment Score
The agent calculates a customer satisfaction score by analyzing purchase order fulfillment accuracy and inventory match. Any delays, shortages, or mismatches are factored into the score, helping businesses track performance.
Order Tracking
The agent allows users to track purchase orders processed, delivered, and pending right from the dashboard. Recent orders with vendor, date, amount, and status are clearly displayed. Filters like status and date help users quickly find and monitor specific POs with clarity.
