Sourcemap vs FRDM: Supply Chain Traceability & Forced Labor

Sourcemap excels at end-to-end supply chain mapping and traceability because it focuses on visualizing the physical flow of goods from raw material to finished product. For example, its platform allows companies to trace a specific cotton shipment from a farm in India through a spinner in Vietnam to a factory in Bangladesh, creating a verifiable chain of custody. This granular visibility is critical for compliance with regulations like the Uyghur Forced Labor Prevention Act (UFLPA), where importers must prove exactly where their goods originated.

FRDM takes a different approach by prioritizing predictive risk analytics and heatmaps over physical chain-of-custody documentation. Instead of mapping every node, FRDM uses machine learning to analyze over 50 risk indicators—including media reports, satellite imagery, and NGO data—to score the likelihood of forced labor in a specific region or supplier. This results in a faster, broader risk assessment but provides less granular proof of a specific shipment's origin.

The key trade-off: If your priority is generating defensible, shipment-level evidence for customs compliance and regulatory audits, choose Sourcemap. If you prioritize rapid, large-scale risk screening across thousands of suppliers to identify where to focus investigative resources, choose FRDM. Sourcemap provides the 'receipt' for a specific product's journey, while FRDM provides the 'risk score' for an entire supply base.

Sourcemap excels at end-to-end supply chain mapping and real-time traceability because its platform is built on a graph database architecture that connects multi-tier supplier relationships with shipment-level tracking. For example, a major food manufacturer used Sourcemap to trace 100% of its cocoa supply back to the farm gate, achieving full EU Deforestation Regulation (EUDR) compliance within six months. The platform's strength lies in visualizing the entire chain—from raw material to finished good—making it the superior choice for organizations needing granular, auditable chain-of-custody evidence for regulatory filings.

FRDM takes a different approach by focusing on predictive forced labor risk analytics and heatmaps rather than full-chain traceability. Its machine learning models analyze over 50 risk indicators—including wage data, recruitment fees, and passport confiscation reports—to generate risk scores for specific commodities and regions. This results in a faster time-to-insight for companies that need to screen thousands of suppliers quickly. FRDM's database covers over 200 countries and 400 commodities, making it particularly effective for initial risk triage and high-level compliance reporting like the UK Modern Slavery Act.

The key trade-off: If your priority is regulatory-grade traceability with auditable proof of origin for specific products (e.g., EUDR, UFLPA), choose Sourcemap. Its shipment-level verification and supplier mapping provide the evidence trail auditors demand. If you prioritize broad-spectrum risk screening across a massive, diverse supply base to identify hidden forced labor hotspots before they become legal liabilities, choose FRDM. Its predictive analytics offer a scalable early-warning system that complements, rather than replaces, deeper traceability efforts.