Consumer Goods & Retail

Consumer goods and retail operations generate high-volume, multilingual supplier documents across stores, entities, and distribution centres. Invoices, delivery notes, and purchase orders arrive in local languages and formats, and each market adds its own tax rules and document requirements. Staple standardizes these documents into verified, system-ready data, so operations teams focus on exceptions rather than data entry, and every figure that reaches the ERP has already been matched and checked.

The Document Problem In Consumer Goods And Retail

A single supplier may send invoices in different formats per market. Delivery notes are handwritten, stamped, or photographed on a loading dock. Purchase orders reference internal codes that change by entity. Tax compliance, e-Fapiao in China, InvoiceNow in Singapore, MyInvois in Malaysia, requires validating against local authorities, not just formatting correctly. Legacy tools built for English-language, template-based extraction break on this variability, and the fallback is manual processing, which does not scale across 5,000 or more stores.

Multilingual Extraction Without Templates

Context-based extraction reads what a field means, not where it sits, across 300+ languages including Chinese, Korean, Thai, Vietnamese, Bahasa, and Tagalog. Handwriting, rubber stamps, and dot-matrix printing are handled natively, and both the original source-language value and the normalized value are retained, so a reviewer in one market and a system in another both see what they need.

Three-Way Matching At Scale

Cross-source reconciliation matches invoices against purchase orders and delivery notes, or goods receipt notes, at line-item level. Fuzzy matching handles entity-name variance across languages and markets, and partial deliveries, short shipments, and quantity discrepancies surface automatically with the line and the reason attached, so an operations team works the genuine exceptions rather than eyeballing every document.

Complex Table Extraction

Intelligent Tables handles nested headers, multi-page tables, mixed table types in one document, and narrative-to-table conversion, where line items written into a paragraph become structured rows. Table totals are validated against line-item sums, so a table that does not add up is flagged rather than passed on.

Master Data Mapping Across Entities

The internal codes a retailer uses, for suppliers, cost centres, and SKUs, rarely match what appears on the supplier's document, and they vary by entity and market. Staple resolves captured values against your master data with fuzzy and semantic matching, so a supplier named slightly differently in Thai and in English still lands on the correct vendor code, and a posting does not fail downstream on a mismatch. This runs before delivery, using the same self-serve no-code configuration an operations lead can maintain without a developer.

E-Invoice Compliance By Country

As an accredited PEPPOL Access Point, Staple validates against InvoiceNow (Singapore), MyInvois (Malaysia), and Chinese tax authorities. Structured e-invoices in XML, JSON, or UBL and unstructured invoices as PDF or scan are normalized into one processing pipeline, so a market that mandates e-invoicing and a market that still sends PDFs are handled through the same flow.

Delivered Into Your Systems

Verified data is delivered over API, webhook, or export into the systems a retail operation already runs, from the ERP to a warehouse management system, in the shape each expects. Delivery happens after reconciliation, so what arrives is matched data rather than raw extraction, and it can carry a signed Metastructured Data record so a downstream system can verify it was not altered in transit.

Proven In Production

A global FMCG brand with 5,600 stores received supplier invoices and delivery notes in Chinese, Korean, Thai, and Vietnamese, and replaced a legacy tool that failed on dot-matrix documents, reaching 99.6 percent accuracy across four APAC languages in a single deployment. foodpanda, with 10.5 billion dollars in revenue, more than 15,000 employees, and operations in 11 countries, processes more than 750,000 documents a year across five languages, matched three ways against purchase orders and goods receipt notes and integrated with warehouse management, at 97.99 percent accuracy.

Built For Store-Level Scale

Documents reach Staple however stores already send them, by email, SFTP, portal, file sync, or API, so a rollout does not require every location to change its habits. Each entity or market can run as its own queue with its own rules and routing, so a discrepancy at one store is handled without disturbing another, and role-based access keeps a regional team scoped to its own documents. The operational payoff is that volume growth stops meaning headcount growth: one deployment absorbed a large increase in document volume with no additional hires, because the people were freed to work exceptions instead of keying every line.

What Staple Does Not Do

Staple does not replace your ERP, warehouse management system, or procurement platform. It captures and verifies the supplier documents feeding those systems, across every format and language your supply chain produces, and hands them clean, matched data.

Related Solutions

• Logistics, Supply Chain and F&B

• Finance and Accounting

• Cross-Source Reconciliation

See It On Your Supplier Documents

Bring the supplier documents that break your current process, in any language, and see how Staple handles them live. Book a demo.