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Learners Enrolled : 13
Created by Sagar Prajapati
English
📝 Problem Statement: Procurement Data Automation
Organizations typically receive Purchase Orders (POs), Goods Receipts (GRs), and Invoices as PDFs from multiple vendors. These documents are often stored in unstructured formats and are handled manually, leading to:
There is a need for an automated, scalable, and intelligent system that extracts, validates, and reconciles procurement data across POs, GRs, and Invoices using modern AI/LLM, vector search, and Delta Lake.
💡 Solution Overview (as per architecture)
The project automates procurement document validation by building a pipeline in Databricks using LLMs, embeddings, Delta Lake, and Unity Catalog.
Note: Course will be fully updated by end of June 2025
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