Textiles, apparel, and luxury goods companies process enormous volumes of documents every day — tech packs, bills of materials, supplier purchase orders, fabric test reports, social compliance audit reports, certificates of origin, costing sheets, and customs declarations, the list goes on.
Slow or inaccurate document processing delays product launches, creates compliance exposure across global supply chains, and increases the cost of managing supplier relationships.
LandingAI transforms documents into highly accurate, verifiable, structured data so teams can reliably automate document-intensive workflows.
Extracting structured data from tech packs, costing sheets, and bills of materials automatically compresses the handoffs between design, sourcing, and production teams that govern how quickly new styles reach market.

Every supplier tier generates certification documents — GOTS certificates, Oeko-Tex test reports, WRAP audit reports, and factory social compliance assessments — and extracting and verifying those records accurately is the foundation of an auditable, defensible compliance program.

Luxury goods brands depend on traceable, verifiable documentation — authenticity certificates, material provenance records, and chain-of-custody declarations — and accurate extraction from those documents gives quality and brand protection teams the structured evidence base they need.

Intelligent document processing across fashion brands, apparel manufacturers, luxury goods houses, and textile mills is extremely difficult due to the sheer diversity of document types, the inconsistent layouts and the domain expertise required. Then add multiple languages, handwriting, photographs, scans and faxes to the complexity.
Accurate parsing of dense tables that span multiple pages and contain merged cells.
Single pipeline for image, slide, document, and spreadsheet file types with 1000+ pages.
Strong recognition of character-based languages, handwriting, checkboxes, stamps and signatures.
Schema-driven field extraction with visual grounding traceable to the original document.
Extract certification status, audit findings, and expiration dates from factory social audit reports, GOTS certificates, Oeko-Tex test reports, WRAP assessments, and supplier questionnaires across every tier of a global supply base.
Extract material specifications, unit costs, and supplier references from tech packs, bills of materials, costing sheets, and trim cards to keep product development data synchronized across sourcing, design, and production.
Extract and validate declared values, harmonized tariff codes, origin assertions, and quantity data from commercial invoices, certificates of origin, packing lists, and import license documentation across inbound and outbound shipments.
Agentic Document Extraction enables textiles, apparel, and luxury goods companies to automate document-intensive processes that traditionally require manual review.
Agentic Document Extraction has proven to be both accurate and easy to use. We are building on that foundation to deliver reliable, transparent, and scalable automation that our customers can validate and trust.”
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ADE has significantly outperformed other document extractors we’ve used. It has helped us build an Agentic RAG answer engine, based on unique healthcare institutional content, to offer instant, validated support to medical professionals at the point of care.”
View case study →Trust is the product. Accuracy alone isn’t enough at enterprise scale—what matters is provenance, traceability, and control. LandingAI gives us confidence that every extracted value can be traced back to its source, audited, and defended. That’s what makes it deployable in regulated, real-world environments.”
View case study →
Agentic Document Extraction has proven to be both accurate and easy to use. We are building on that foundation to deliver reliable, transparent, and scalable automation that our customers can validate and trust.”
View case study →
ADE has significantly outperformed other document extractors we’ve used. It has helped us build an Agentic RAG answer engine, based on unique healthcare institutional content, to offer instant, validated support to medical professionals at the point of care.”
View case study →Trust is the product. Accuracy alone isn’t enough at enterprise scale—what matters is provenance, traceability, and control. LandingAI gives us confidence that every extracted value can be traced back to its source, audited, and defended. That’s what makes it deployable in regulated, real-world environments.”
View case study →