Retraced Launches PO-Level AI Validation to Support High-Volume Traceability

Düsseldorf, Germany – March 10, 2026 – Retraced, a leading platform for supply chain transparency and vendor management in the fashion industry, today introduced Tracing AI, a new AI-powered validation layer built directly into its traceability module. As documentation requirements expand across major markets, fashion brands face a growing operational bottleneck: validating supplier documentation at scale. Tracing AI addresses this challenge by reducing document audit time by up to 90 percent. 

Tracing AI introduces structured, AI-assisted validation in fashion supply chains, enabling brands to scale traceability from dozens to thousands of POs without proportional increases in manual workload. 

Already live for all Retraced customers, Tracing AI works within the existing purchase order interface. It uses machine learning to assess uploaded supplier documents, flag inconsistencies, and provide a clear validation summary. The AI checks supplier names, document types, products, and quantities against expected values and alert thresholds, enabling teams to identify risks earlier and respond faster.  

By validating supply chain structure alongside document type and content within a single workflow, Tracing AI makes traceability not only faster but also more scalable. For fashion brands, this means they can meet growing documentation requirements and confidently expand multi-tier mapping without adding headcount or slowing down operations. 

“Scaling traceability has always been limited by the time and expertise required to review chain of custody documentation,” said Philipp Mayer, Co-Founder and CPO at Retraced. “With Tracing AI, we support brands and supply chain partners in identifying inconsistencies across large volumes of data, including foreign-language documents. Our goal is to significantly reduce manual effort and provide structured guidance for risk assessment. By automatically highlighting potential issues, teams can direct their expertise to the areas where it creates the greatest impact.” 

Built for High-Volume Validation Environments 

Across global markets, brands are expected to provide increasingly detailed proof of supply chain due diligence. Each purchase order may involve dozens of documents across multiple facilities. Manual validation can take up to 90 minutes per PO and often requires deep supply chain expertise. As documentation requirements expand, this model becomes difficult to sustain. 

“Forced labor regulations have raised the bar for chain of custody traceability, but the manual workload it creates is unsustainable for both brands and suppliers,” said Lukas Puender, CEO and Co-Founder at Retraced. “Our Tracing AI was developed in direct response to this problem. It provides brands and suppliers a way to review documentation more efficiently. Instead of up to 90 minutes, validation of POs can be done within 10 minutes. This allows our industry to trace deeper and act faster, especially when facing regulatory pressure.” 

Early customer feedback reflects this shift. 

“Tracing AI transforms how we handle supply chain transparency,” said Dejan Veselinovic, Senior Specialist Sustainability & Corporate Responsibility at TOM TAILOR. “By automatically reading uploaded documents and performing plausibility checks, it streamlines complex workflows and saves valuable time. This allows teams to shift their focus from manual verification to driving real impact. For brands working at scale, this is a meaningful step forward.” 

Instead of reviewing each document individually, teams receive a structured validation summary that highlights inconsistencies and data gaps. This allows organizations to focus on resolution and decision-making while maintaining traceability depth across growing PO volumes.