Household durables manufacturers process enormous volumes of documents every day — supplier invoices, bills of materials, component test reports, product certification packages, warranty claim forms, consumer complaint records, and product recall notices, the list goes on.
Slow or inaccurate document handling delays supplier payments, exposes manufacturers to compliance risk, and introduces errors that propagate across procurement, quality, and regulatory workflows.
LandingAI transforms documents into highly accurate, verifiable, structured data so teams can reliably automate document-intensive workflows.
Every extracted value is grounded to its precise location in the source document, giving quality and compliance teams a defensible, traceable record across UL test reports, Energy Star certification packages, and declarations of conformity without manual transcription.

Automating extraction from supplier invoices, purchase orders, and receiving reports removes the manual bottlenecks that delay 3-way matching, slow accounts payable cycles, and generate costly payment disputes with component and materials suppliers.

Extracting and organizing data from warranty claim forms, consumer complaint records, and field service reports gives product safety and quality teams the structured inputs they need to identify defect patterns, meet CPSC reporting timelines, and support product liability defense.

Intelligent document processing across major appliances, small appliances, furniture, and home improvement tools and hardware 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 line-item details, pricing, quantities, and terms from supplier invoices, purchase orders, and receiving reports to automate 3-way matching across complex, high-volume components and materials procurement.
Extract test parameters, results, and certification identifiers from UL test reports, Energy Star certification packages, RoHS compliance declarations, and certificates of conformity to maintain a verified compliance record across every product SKU.
Automate extraction of defect descriptions, model and serial number data, and repair outcomes from warranty claim forms, consumer complaint records, field service reports, and incident reports to support root cause analysis and regulatory reporting.
Agentic Document Extraction enables household durables manufacturers 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 →