Navigating Supply Chain Disruptions with a Unified View
ManuCore, an industrial equipment manufacturer, faces $12M in annual losses due to supply chain disruptions. Their fragmented data leaves managers blind to risks like delays or shortages.
Demo Overview
In this demonstration, you'll see how Graphora transforms fragmented supply chain data into a unified graph that reveals end-to-end dependencies and highlights disruption risks in real-time. Traditional tools provide siloed views, requiring manual correlation of data.
The Problem
Supply chain managers at ManuCore manually correlate data—matching BOMs to supplier inventory or scanning news for disruptions—a process that's slow, incomplete, and reactive, costing time and money when issues like port closures or tariff hikes hit.
Graphora's Solution
By extracting entities and relationships from unstructured text, Graphora creates a comprehensive graph that connects products, components, suppliers, locations, and disruption events—enabling proactive responses to risks.
Demo Process
Step 1: Upload Unstructured Data
Upload engineering docs, BOMs, inventory logs, supplier data, and news feeds into Graphora.
Upload Data Files
Drag and drop your files here, or
Accepted files: TXT, CSV, JSON, XLSX
Or use sample files:
| File Name | Type | Size |
|---|---|---|
| engineering_docs.txt | text/plain | 2.4 MB |
| bill_of_materials.csv | text/csv | 980 KB |
| inventory_logs.json | application/json | 1.8 MB |
| supplier_data.csv | text/csv | 1.5 MB |
| market_news_feed.txt | text/plain | 650 KB |
Upload files to visualize the supply chain network