Document Processing in Beverages
Beverage producers process high volumes of documents across every stage of their business — batch records, certificates of analysis, purchase orders, label approval submissions, distributor agreements, depletion reports, excise tax returns, and import and export filings, the list goes on.
Slow or error-prone document processing delays production releases, creates compliance exposure, and disrupts distributor settlement cycles that affect revenue recognition.
LandingAI transforms documents into highly accurate, verifiable, structured data so teams can reliably automate document-intensive workflows.
Why Agentic Document Extraction for
Beverages
Faster Quality Release Decisions
Extracting and comparing ingredient specifications, certificates of analysis, and test results automatically compresses the time between material receipt and production release, keeping lines running without sacrificing quality standards.
Audit-Ready Compliance Records
Every label approval submission, excise tax filing, and production record must be traceable back to its source when regulators or auditors request documentation, and automated extraction with visual grounding makes that traceability systematic rather than manual.
Distributor Relationship Accuracy
Depletion reports, pricing deviation claims, and trade spend authorizations flow between producers and distributors at high volume and in inconsistent formats, and accurate extraction from these documents reduces settlement disputes that strain commercial relationships and delay cash collection.
Built for Complex Beverage Documents
Intelligent document processing across breweries, wineries, distilleries, and soft drink and non-alcoholic beverage producers 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.
Use cases
Ingredient & Raw Material Receiving
Extract supplier details, lot numbers, test results, and specification values from certificates of analysis, supplier declarations, and goods receipt documents to validate incoming ingredients and packaging materials against approved specifications before production begins.
Accelerate material release decisions to reduce production line downtime
Cut manual data entry time across quality and procurement teams handling high receipt volumes
Create a traceable, audit-ready record linking every lot to its supplier documentation
Label Approval & Regulatory Filing
Extract product identity, formula, and regulatory field data from label application packages, formula approval submissions, and product specification sheets to prepare and verify filings before submission to applicable regulatory bodies.
Reduce time-to-market for new products by shortening label preparation and review cycles
Eliminate manual transcription errors that cause filing rejections and resubmission delays
Maintain a verifiable filing record that links each approved label to its supporting documentation
Trade Spend & Distributor Settlement
Extract product codes, volumes, pricing, and promotional deduction details from depletion reports, price deviation authorizations, and distributor invoices to reconcile trade spend claims and validate distributor settlement requests.
Accelerate settlement cycles to improve cash collection and reduce days sales outstanding
Recover overbilled trade spend by surfacing deduction discrepancies across distributor submissions
Build an auditable record of every authorized promotional deduction for finance and compliance review
Trusted for Document-Heavy Beverage Workflows
Agentic Document Extraction enables beverage producers 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.”
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 →
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 →