Store counts and loss control: after-sales questions with multi-turn prompts

Review multi-turn prompts for after-sales questions in Store counts and loss control. Check inputs, failure paths and source evidence before use.

What the documents look like

For after-sales questions in Store counts and loss control, this page examines FastGPT multi-turn prompts. Preserve counting coverage, recount status and unresolved responsibility in inventory-discrepancy follow-ups. The examples are hypothetical.

Constraints at the multi-turn prompts step

An inventory-service exercise starts with a hypothetical note: an initial shelf count differs from the ledger, while back-room stock is excluded. A follow-up adds a proposed recount. Neither a whole-store result nor a discrepancy cause is supplied. The prompt should retain shelf coverage and the missing back-room count, organizing checks without turning a partial count into store-wide loss. A later question about who is responsible also lacks attribution evidence. A roster name identifies a shift without assigning fault. These sources support no actual disciplinary or accounting action.

Configuration and implementation checks

Counting follow-upHypothetical inputInspection subject
CoverageInitial shelf count onlyBack-room gap separately
StageProposed recountActual recount record
PersonShift-roster nameNo responsibility inferred
PeriodGoods in the same intervalNo cross-period total
ActionOrganize review tasksNo inventory or disciplinary write

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 history compression drops the excluded back-room sentence and the answer declares a whole-store shortage, compare the original note, submitted history and response to locate expanded coverage.
  • If a proposed recount becomes completed, inspect the planning verb and actual recount record. Missing measurements leave the discrepancy unconfirmed.
  • If a person from an earlier roster becomes responsible for the discrepancy, inspect roster purpose and cause evidence. Presence and responsibility are different findings.

How to verify the setup

Repeat the question with the partial count, recount plan and later actual records, checking that supported coverage changes only with evidence. Inspect the same counting period and goods before combining back-room material; stocks from different periods do not form a current store total. Investigate history delivery when an obtained source disappears from the request. Identify missing cause records separately when no investigation exists. The conversation can organize review tasks without adjusting inventory or confirming liability because a name appeared in history.

Material contextScope
Document typesInventory Count Sheet, Discrepancy Analysis, Spoilage Approval and Monitoring Footage Review Records
Candidate sourcesPOS Inventory, WMS, Monitoring System and SB/T Inventory Count Standards
Technical baselineFastGPT v4.17.2