Sample Project · Market Intelligence

Semiconductor Supply Chain Intelligence Platform

Developed an automated supply chain intelligence platform that monitors semiconductor manufacturer part numbers (MPNs) using the SiliconExpert API. The system collects market data, enriches it with lifecycle, lead time, pricing, and distributor information, stores historical snapshots in an Azure SQL data warehouse, and visualizes trends through interactive Power BI dashboards. The solution replaces manual research with an automated, scalable business intelligence pipeline.

System architecture

CSV Watchlist

Python ETL

SiliconExpert API

Azure SQL

Power BI Dashboard

Challenge

Manufacturers, procurement teams, and supply chain analysts often rely on multiple supplier websites, spreadsheets, and manual searches to monitor critical electronic components. This process is:

Time-consuming and repetitive
Difficult to scale across hundreds of parts
Lacks historical trend analysis
Prone to outdated or inconsistent information
Makes it difficult to identify supply chain risks before they impact production

Without centralized visibility into component availability, lead times, and lifecycle status, organizations may experience procurement delays, increased costs, and supply disruptions.

Approach

Designed and implemented a modular data pipeline using Python to automate semiconductor market intelligence.

The solution:

Uses a watchlist of manufacturer part numbers (MPNs)
Connects to the SiliconExpert API to retrieve component data
Selects the best matching part for each MPN
Enriches records with market intelligence, including:
- Lead time
- Lifecycle status
- Distributor availability
- Pricing trends
- Supply risk indicators
Cleans and standardizes the data
Stores historical snapshots in Azure SQL using a dimensional data model
Automatically refreshes Power BI dashboards through scheduled pipeline executions

Solution

Built an end-to-end automated business intelligence platform consisting of:

Python ETL Pipeline for data ingestion and transformation
SiliconExpert API Integration for part-level market intelligence
Azure SQL Database with dimension and fact tables for historical tracking
Power BI Dashboard for interactive reporting and visualization
Scheduled Automation using Windows Task Scheduler to keep market data current

The system provides a centralized source of truth for semiconductor market intelligence.

Impact

The solution delivers several operational benefits:

Eliminates manual component research and spreadsheet maintenance
Provides near real-time visibility into supply chain conditions
Enables proactive identification of supply shortages and lifecycle risks
Tracks historical lead time and pricing trends for better forecasting
Supports data-driven procurement and sourcing decisions
Scales from monitoring a handful of components to hundreds or thousands of MPNs with minimal manual effort
Creates a reusable analytics framework that can be adapted to other industries and market intelligence applications