Returned-goods inspections: staff training with multi-turn prompts

Review multi-turn prompts for staff training in Returned-goods inspections. Check sources, input boundaries, error handling and repeatable test evidence.

What the documents look like

For staff training in Returned-goods inspections, this page examines FastGPT multi-turn prompts. Use return-warehouse training to distinguish registration, segregation and physical inspection across follow-up questions. The examples are hypothetical.

Constraints at the multi-turn prompts step

A hypothetical return-training card records a registered parcel whose outer packaging still needs inspection. A second card moves it to a pending-inspection area. The learner asks whether it can now be sold again. Registration and relocation establish no completed physical inspection, and the cards supply no resale criteria. The prompt should retain exercise identity and distinguish the logistics object from the goods condition requiring a check. A previously inspected return in history cannot supply this item’s finding. A warehouse-area name describes a paper location, without establishing quality.

Configuration and implementation checks

Return-training follow-upExercise conditionEvidence action
Initial stateRegistered; packaging uncheckedCompare both cards and history
LocationMoved to pending areaNo inspection inferred
SubjectCurrent versus previous returnOriginal and expanded question
AuthorLearner proposes a findingSeparate actual sign-off
Added evidenceInspected part and periodScope for the same return

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 the second request carries only the relocation card and loses the outstanding packaging check, compare actual history with both originals to trace the invented completed inspection.
  • If question expansion makes this item refer to the previous inspected return, compare return identity, original question and expanded question. Locate the substituted subject.
  • If a learner’s proposed finding becomes supervisor confirmation later, inspect authorship, exercise marking and actual sign-off evidence. A training answer performs no physical inspection.

How to verify the setup

Compare a fresh conversation holding only these two cards with one containing the older inspected example. Require identification of missing evidence. Check return identity, inspected part and event time before using an added inspection record. Later receipt does not establish a later inspection. Context scope affects accepted text and reply length affects output space; neither supplies absent inspection. A downstream training system needs separate parsing and question-identity checks. The exercise guides teaching without authorizing resale or moving actual stock.

Material contextScope
Document typesReturn Inbound Order, Quality Inspection Photos, Grade Determination Sheet and Resale Shelving Order
Candidate sourcesWMS Return Module, Platform After-Sales, Carrier Returns and Quality Inspection Station
Technical baselineFastGPT v4.17.2