General export declarations: after-sales questions with multi-turn prompts

Review multi-turn prompts for after-sales questions in General export declarations. Check input mappings, source evidence and failure handling before use.

What the documents look like

For after-sales questions in General export declarations, this page examines FastGPT multi-turn prompts. Ask separately about declaration handling, delivery and the service request, tracing the documents carried into each answer. The examples are hypothetical.

Constraints at the multi-turn prompts step

A proposed conversation starts with an export-processing note saying that a declaration was returned for supplementary information. The follow-up asks what to do about the customer’s service request. That return concerns declaration material; it establishes neither delivery nor the customer’s requested remedy. Specify the missing request, order correspondence and delivery sources. If the answer immediately prescribes a return or replacement, inspect whether history contains such a request. Extending declaration handling into a service conclusion leaves its basis unverifiable.

Configuration and implementation checks

Conversation checkDeclaration and service materialAcceptance action
Initial scopeDeclaration returned for more informationNo inferred return or replacement request
Added requestEmail asks to correct a packing descriptionCheck shipment and requested action
Reference inspectionIdentify the email or declaration meant by this caseCompare original and optimized questions
Gap locationUnobtained email versus omitted inputCollect the source or inspect delivery
Action boundaryAnswer organizes proposed next stepsVerify business-status updates separately

Documented conditions

Documented item / implementation checkCondition
Prompt and taskDefine sources, the task and evidence-gap handling.
Conversation historyInspect the history actually submitted.
Question optimizationReview reference resolution and question expansion.
Model and lengthInspect context and reply length separately.
Reply formatjson_schema needs its format and parsing validation.

Three common errors

  • If a returned declaration becomes a customer return or replacement request, inspect customer, order and delivery originals. Retain the filing note and added handling statement; a document return establishes no product remedy.
  • If packing-description correction becomes a refund or this case changes shipment, compare questions and shipment identity. Inspect actual history; more context does not automatically correct the task.
  • If an obtained customer email is absent from input, compare source selection and actual request to inspect transfer. An unobtained email needs collection instead; neither case is simply insufficient memory.

How to verify the setup

Acceptance can compare an empty history, the declaration note alone and the note with the customer email. Check whether each answer identifies the corresponding evidence gap. An obtained email omitted from input requires investigation of delivery; an unobtained email requires source collection. Do not label both as insufficient model memory. The response may organize known material and proposed next steps, but drafting an action does not update a declaration or service status in the business system.

Material contextScope
Document typesExport Declaration Form, Commercial Invoice, Packing List and Contract
Candidate sourcesChina International Trade Single Window, Customs Code Database, Freight Forwarder Bill of Lading and Enterprise ERP
Technical baselineFastGPT v4.17.2