What the documents look like
For staff training in Retail checkout and loyalty, this page examines FastGPT interactive forms. Promotional labels, points rules and exceptional refunds are different sources. Training preserves applicability and actual payment stages without amounts, rates or real member examples. The examples are hypothetical.
Constraints at the interactive forms step
Checkout-and-loyalty training can collect general points rules, label wording and an exceptional-refund question without amounts or real member records. Proposed sources lack this payment’s processing evidence; configured rules do not establish changed points. Preserve source scope downstream. Choices arrange evidence or reading rather than database selection, and interaction completion grants neither cashier nor refund authority.
Configuration and implementation checks
| Training-source check | Proposed input | Observable evidence |
|---|---|---|
| Rule applicability | Activity scope passed with wording | Recipient retains the boundary |
| Transaction result | Label separate from this payment evidence | No direct paid-result conclusion |
| Refund stage | Request separate from processing record | Not rewritten as returned funds |
| Public example | General rules and hypothetical transaction | No real member sources |
| Business authority | Separate refund, writing and recognition | State is not formal permission |
Documented conditions
| Documented item / implementation check | Condition |
|---|---|
Form input | Collect input and pass values after submission. |
Required-information check | Design required business inputs and missing-input handling. |
User selection | The selected option maps to a connected branch. |
Interaction state | Inspect waiting and completed interaction separately. |
Downstream responsibility | Verify validation, approval and write results separately. |
Three common errors
Lost rule applicability requires comparison of entered and received activity scope. A label treated as this transaction’s paid result needs actual cashier evidence. A refund request described as completed needs corresponding payment processing. These inspect rule, transaction and execution separately, without deriving facts from continuation.
How to verify the setup
Retain general material, hypothetical transaction identity, branch destination and received text. Repeat with corresponding evidence and inspect actual use. The node records interaction, waits and continues without changing points or funds automatically. Validation, refunds, member writes and recognition need business permission and receipts. Training completion establishes neither returned funds, effective promotions nor passed personal-access checks.
| Material context | Scope |
|---|---|
| Document types | Promotional Price Tag, Member Points Rules, Daily Cashier Report and Abnormal Refund Order |
| Candidate sources | POS System, Member CRM, Payment Platform and Price Tag System |
| Technical baseline | FastGPT v4.17.2 |