Introducing Tracing AI: Watch in Action
In this short demo, discover how AI helps fashion teams validate purchase orders faster and reduce manual work.
Explore the Solution Live Now
Tracing AI: PO-Level Validation Built for Scale
Confirms expected document types
and formats
Reviews document content for key data alignment
Generates clear accuracy scores and summaries
Highlights where attention is required
Evaluates supply chain structure for logical consistency
Review time per PO can drop significantly. Instead of spending 60–90 minutes per PO, reviews happen in minutes.
That time reduction directly impacts your operational ROI. Fewer manual review hours mean lower validation costs, faster approvals, and more capacity within the same team.
Try Our Time-Saving Calculator
Time saved with AI
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Enter your details to view now your PO Validation time-savings results
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Book a personalized walkthrough and explore:
- How Tracing AI integrates into existing workflows
- What accuracy scoring looks like inside a live PO
- How review time can be reduced while maintaining diligence
"Tracing Al transforms how we handle supply chain transparency. By automatically reading uploaded documents and performing plausibility checks, it streamlines complex workflows and saves valuable time"
Dejan Veselinovic
Senior Specialist for Sustainability and Corporate Responsibility at Tom Tailor.
Traceability and the Digital Product Passport
Digital Product Passports will require structured product-level data. For textiles, this is expected to include:
- Product identifiers
- Material composition
- Recycled content percentages
- Environmental footprint indicators
- Linked supporting documentation
Wednesday, 29/4 - 11:00 AM (CEST)
Expert Panel Discussion: How AI Is Shaping Traceability and Digital Product Passports in Fashion
Digital Product Passports are moving forward, while expectations around product and supplier data continue to grow.
At the same time, teams are dealing with increasing volumes of data across supply chains. Traceability provides the structure to manage this, and AI is starting to play a role in making that data usable across internal teams as well as business partners.
This 45-minute webinar session brings together brands and suppliers who are already working on traceability and DPP. Experts from Tom Tailor and Cobalt share how they handle product and supplier data, respond to different requirements, and collaborate across supply chain tiers. Retraced’s ESG Legislation & Policy Expert, Daniele Seiffert, adds a policy perspective on how traceability supports regulatory expectations.
Expect a focused discussion on what teams are doing today, what challenges they face, and where they see the role of AI.
Speakers:
- Dejan Veselinovic, Senior Specialist Sustainability & Corporate Responsibility, Tom Tailor
- Ellen Arosio, Senior Manager Compliance and Sustainability Development, Cobalt
- Daniele Seiffert, ESG Legislation & Policy Expert, Retraced
- Moderator: Sarolta Hershey, Retraced
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Frequently Asked Questions
It uses inputs such as shipment volume, average shipment value, time spent on documentation review, and level of upstream supplier visibility to estimate your potential exposure to shipment delays, detentions, and rework. It is delivered as an Excel template with built-in formulas.
No. It supports review by flagging inconsistencies and missing information. Final decisions remain with your team.
Yes. It is designed for large PO volumes in the fashion industry and structured validation at scale.
No. Tracing AI is manually triggered, allowing teams to choose when validation adds value.
Structural irregularities, unexpected document types, and key data mismatches.
No. The calculator is a standalone resource designed to estimate documentation-related import exposure. It is not part of Retraced’s Risk Management feature.