Supply Trace is an 
open-access tool that identifies potential risks to workers in global supply chains.

Unique Methodology

Machine Learning + Expert Research

Supply Trace combines expert desk-based risk investigations with machine learning to analyze customs records and other data to provide actionable field intelligence that cuts through the noise.

1

Risk data accessible to all

Supply Trace is an open-access platform for all. Want to try it out? Start a Trace

2

Machine learning + Expert research

We combine expert and worker-led investigations with machine learning to cut through the noise.

3

Focus on specific risk

We deliver precise, worker-centred risk insights that drive real action toward responsible supply chains.

Pilot Phase Focus

Forced Labor in the Apparel Sector

The pilot phase of the product was launched in March 2024 and focuses on identifying Uyghur forced labor risk in apparel supply chains. Future versions will include more industries, locations, and risk types.

Host Institution

A Northeastern University Initiative

We are a research project incubated at Northeastern University. The Supply Trace methodology has been developed by academic subject matter  experts.

Supply Trace

How it Works
A series of screenshots of the Supply Trace tool, illustrating searching for a company and showing a company with potential risks highlighted