• TrusTrace has launched a new platform that turns supply chain traceability data into intelligence, compliance decisions and automated action.
• The platform combines lot-level traceability with AI-powered chain-of-custody data, helping brands identify compliance gaps across suppliers, products and materials.
• New automation tools cover supplier onboarding, assessments, evidence requests and corrective actions as regulatory due diligence requirements expand globally.

TrusTrace has launched a new supply chain intelligence platform designed to help global brands move from collecting traceability data to acting on it.

The rollout comes as companies face a growing web of sustainability, product and due diligence requirements. For many brands, the challenge is no longer simply gathering information from suppliers. They must determine which risks require attention and produce evidence that can withstand regulatory scrutiny.

TrusTrace is positioning its expanded platform around that gap. It combines supply chain intelligence with compliance workflows and automation, allowing teams to identify problems and initiate follow-up from the same data environment.

“Every regulation ultimately asks the same question: can you prove it? But proving compliance starts much earlier, with understanding your supply chain, knowing where the gaps are, and acting before they become problems,” said Shameek Ghosh, CEO and Co-Founder of TrusTrace.

AI turns traceability data into intelligence

At the foundation of the platform is TrusTrace’s real-time, lot-level forward traceability. This is combined with AI-powered backward chain-of-custody data across different materials and sourcing models.

The first phase focuses on Supply Chain Intelligence. Brands can use natural-language questions to interrogate data covering suppliers, facilities, products, materials and relationships across their supply chains.

The system can then surface patterns, information gaps, insights and reports within seconds. That could give compliance and sustainability teams a faster route from raw supplier information to decisions requiring action.

The platform will roll out in phases starting this month. TrusTrace said it has spent the past year developing and validating the technology with several leading global brands.

Future phases will introduce regulatory and enterprise intelligence. These capabilities will connect external regulatory requirements and internal company policies directly with supply chain information.

The aim is to determine which requirements apply to a company and identify potential gaps earlier in the compliance process.

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Supplier compliance moves toward automation

TrusTrace is also introducing a program builder and orchestrator to automate Supplier Compliance workflows.

Companies can use their own data to automate vendor onboarding, continuous monitoring and supplier assessments. The system can also manage evidence requests, follow-ups and corrective actions.

This could become increasingly important as companies attempt to manage more detailed compliance requirements without expanding internal teams at the same pace.

Supply Chain Intelligence becomes the third connected solution area within the broader TrusTrace platform. Supplier Compliance determines whether suppliers meet a brand’s requirements. Product Compliance assesses whether individual products meet applicable rules and maintains supporting evidence.

Supply Chain Intelligence sits between those functions by identifying gaps and supporting decisions. New automation capabilities are designed to connect activity across all three areas.

Compliance pressure raises the value of usable data

The launch reflects a wider shift in corporate sustainability governance. Traceability is increasingly moving beyond voluntary ESG disclosure and into operational compliance.

Companies may need to demonstrate where materials originated, how products moved through supply chains and whether suppliers met specific environmental or social requirements. That places greater pressure on the quality, accessibility and auditability of corporate supply chain data.

For C-suite executives, the governance question is therefore expanding. Having supply chain information is not enough if teams cannot quickly determine what it means for regulatory exposure or product compliance.

Automation could also change the economics of compliance. As regulatory requirements multiply across markets, companies face a choice between expanding compliance teams or finding technology that can handle more routine processes.

“We have spent years helping brands build trusted supply chain data. Now we are making that data work harder, turning it into intelligence, decisions, and action,” said Ghosh. “The goal is to help brands scale increasingly complex compliance programs without scaling their teams at the same rate, so they can spend more time on the decisions that matter.”

For global brands and investors, the broader significance lies in the shift from sustainability data collection toward evidence-based compliance infrastructure. As due diligence regimes mature, supply chain visibility is becoming closely tied to governance, operational risk and market access.