Skip to content
Get started

SC-2 — Logistics & import-export document automation.

Nestlé Vietnam · Posted 59 minutes ago

Consumer goodsDocument IntelligenceGenerative AIComputer VisionSearch & Knowledge Retrieval
Budget
To be determined
Timeline
Based on solution provider proposal
Apply by
22 Nov 2026, 23:59 ICT

Problem statement

Translate documents keeping layout, suggest HS codes, prepare import tax and reconcile PODs so freight payments are not blocked. Today: • Shipping documents such as invoices, ingredient lists, and MSDS are typically issued in English, while customs clearance, Chemical declaration in Vietnam often requires Vietnamese reference or translation for review and submission. The current manual translation process is time-consuming and can introduce errors, especially for import-export, chemical, and food-related terminology. In addition, the translated content must be inserted back into the original template while preserving layout, images, and formatting, which creates significant extra effort. • HS code classification requires review of many data points such as product description, composition, exporter information, technical documents, tariff schedule, legal rules, and historical precedents. Manual research is time-consuming and may lead to inconsistent classification. HS code classification determines import duty rates, specialized permits and inspection requirements — a wrong code can mean tax arrears, potential financial exposure, or duty outcomes that are hard to spot. Each case requires weighing many sources at once. Each case could take considerable time, and two people classifying the same type of goods might arrive at different codes. • The current IMEX tax payment process has multiple steps, mostly manual entry and copy-paste between Shipping, IMEX and Finance. It might take longer than expected, and late or insufficient payment might create financial exposure. • POD information is updated through several layers, and each data re-entry might introduce discrepancies; as POD is a legal document, missing or incorrect PODs could delay freight payments and create audit exposure.

Expected outcomes and success metrics

• Save processing time, improve translation consistency, reduce manual formatting work, and support faster customs clearance. • Reduce research time, improve consistency, support faster decision-making, and reduce potential customs compliance issues. • Tax payment: convert PDF declarations into structured Excel on a fixed template and reconcile tax amounts automatically, reducing manual work and errors so payments are made ahead of the deadline and Finance and NBS posting stay on schedule. • POD: a single POD source shared by transporters, warehouse and the Transport team that matches the hard copies and supports instant retrieval.

Target users and impacted teams

• SC-IMEX; Regulatory Affairs; F&C (Finance & Control); Logistics; Customs (external); Suppliers/Manufacturers • F&C / IMEX Payment; Shipping team; Finance/AP; NBS (SAP posting); Banks (external) • Transporters (third party); Warehouse/DC; Transport team; Systems/IT; Finance; CSC; Audit/Compliance

Data availability and readiness

• Invoice, ingredient list, MSDS, specification, PDF scan, Word/Excel files, images, and internal terminology reference • Vietnamese/English product name, product description, ingredient list, MSDS, technical documents, exporter/manufacturer information, tariff schedule, customs regulations, HS explanatory notes, internal import history, and external classification references • Customs declaration form • Warehouse hard copies; transporters' Excel file; Transport team daily Excel review; monthly hard-copy status entered into the system Note: Synthetic data could be potentially provided during the process, upon approval of the Nestlé team and in compliance with data law.

Integration, deployment and infrastructure

• To be determined Note: Nestlé's current environment includes Microsoft Azure and Microsoft Copilot. Solutions that can work with this environment are welcome, and final integration and deployment requirements will be confirmed with the Nestlé team.

Relevant AI technologies

Document IntelligenceGenerative AIComputer VisionSearch & Knowledge Retrieval

Based on Nestlé How-AI for layout-preserving English-to-Vietnamese translation, HS attribute extraction against tariff/legal references, PDF declaration to structured Excel with tax reconciliation, and POD OCR extract/reconcile.