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Home Home / Capstone Projects / Integrated Supply Chain and Manufacturing Order Forecasting

Integrated Supply Chain and Manufacturing Order Forecasting

Program: Data Science Master's Degree
Host Company: Greyscale AI
Location: San Carlos, California (onsite)
Student: Hassan Aluraibi

Greyscale AI is a capital equipment OEM and I am a part of their supply chain team. As a startup, our resources are limited, and due to COVID, supply chains are unpredictable and lead times are notoriously misleading. This capstone project illustrates a business problem that was solved for Greyscale AI’s supply chain team using: 

  • Feature extraction from an ERP system (Odoo) 
  • Database integrations (ODBC / REST API) 
  • A dashboard to forecast inventory needs (aggregations and sums) 
  • An automated process flow (spreadsheet integration, ERP database querying) 

The deliverable of this project was a spreadsheet that merged manufacturing, purchase and inventory tables, to generate a week to week part forecast for Greyscale AI. It features direct integration into our Odoo ERP system, which makes it highly automated, and is categorized as a descriptive analytics project, allowing the supply chain team to visualize parts on hand, and determine when to restock. 

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