What the documents look like
Seller ratings management for platform stores works on consumer feedback that arrives after fulfillment and after-sales service. This differs from promotion enrollment, which centers on activity pricing. The main data sources named in the brief are Douyin Store experience scores, Tmall service indicators, JD after-sales reviews, and customer service systems. Typical documents are negative-review handling records, experience score detail sheets, service diagnostic reports, and rectification ledgers. Typical roles are store operations staff, customer service supervisors, and quality inspection specialists.
In cross-border material and multilingual retrieval, one negative review may carry descriptions in several languages and may map to experience score definitions from different storefronts. A workflow therefore needs to collect the material text to be checked first, then pass it to later retrieval or judgment nodes. The brief gives daily or weekly update frequency for the category, and that frequency does not define the functional boundary of this page.
Constraints at the workflow routing step
Form Input is a user interaction node. When it triggers, the conversation enters an interaction state, the workflow state is recorded, and execution continues after the user completes the interaction. User Selection is also a user interaction node. When the user makes a choice, the node evaluates that choice and executes the "yes" branch. Both nodes can be added repeatedly and can precisely collect the required information and pass it to later nodes.
Retrieval itself does not constitute authorization. Values collected by a form require downstream implementation for business verification, approval, database writes, or external synchronization. Order writes, document backfill, and external status synchronization must connect to a business interface or a later process. Libraries built on different vector models cannot be associated together; the identifier must be checked first and non-matching libraries excluded. Image retrieval requires a corresponding image input and model capability. Reranking requires a model and must be enabled according to settings.
Hypothetical paper exercise sample: a store operations staff member submits a negative-review handling record. The source text reads: "Order number A-1024. The buyer reported on March 12 that the outer packaging was damaged. Customer service contacted the buyer on March 13 to request supporting evidence; the buyer has not yet replied. The negative review currently has the status awaiting supporting evidence." The proposed handoff request is: "Please classify this negative review into the experience score rectification ledger and arrange contact with the buyer." This sample checks how form collection connects to later retrieval in workflow routing. It does not indicate that any real handling has occurred.
Configuration and implementation checks
| Configuration item | Documented setting or implementation check | Relation to this page's sample |
|---|---|---|
| Form Input node | After triggering, enters interaction state, collects required information, and passes it to later nodes | Used to collect the order number and status fields from the negative-review record |
| User Selection node | After the user makes a choice, executes the corresponding "yes" branch | Used to confirm whether the record moves into the rectification ledger |
| Interaction state check | Recording state is behavior of the interaction node | Check whether the sample enters interaction state after submission |
| Output handoff check | Pass collected information explicitly to later retrieval, judgment, or interface nodes | Check whether the order number and status reach the retrieval node |
| External action division | Order writes, document backfill, and external status synchronization must connect to a business interface or later process | Ledger writes in the sample are not behavior of this node |
| Retrieval model identifier check | Libraries on different vector models cannot be associated together | Check whether the sample's retrieval scope uses one vector model |
The hypothetical starting point for this exercise is a Form Input node configured with two required fields: order number and handling status. This count is chosen because the sample source text contains only these two directly collectible fields. The comparison is against the "yes" branch of the User Selection node, to observe whether the branch executes according to the choice. This starting point is hypothetical and is not an official default.
Three common errors
- Treating the order number and status collected by the Form Input node as authorization to write directly into the rectification ledger. Input is the sample source text; compare the node output against the external action division statement. The observable result is that ledger writing requires a separate business interface.
- Treating the "yes" branch of the User Selection node as an automatic judgment. Input is the proposed handoff request in the sample; compare the branch execution condition. The observable result is that the branch executes only after the user makes a choice.
- Associating libraries on different vector models and then using them to retrieve the sample. Input is the sample order number; compare the vector model identifiers of the retrieval libraries. The observable result is that non-matching libraries must be excluded first and cannot be associated directly.
How to verify the setup
- Input the hypothetical sample source text and the proposed handoff request. Compare whether the Form Input node collects the order number and handling status and passes them to later nodes. The condition is satisfied if the output contains these two fields and the conversation enters interaction state.
- Input the choice result of the User Selection node. Compare whether the "yes" branch executes. The condition is satisfied if the branch executes according to the user's choice and does not judge automatically.
- Input an explicit paper empty result []. Compare whether downstream nodes are designed to accept an empty result. The condition is satisfied if downstream does not treat the empty result as a retrieval failure or as authorization approval. The cross-model association check only verifies identifiers and excludes non-matching libraries; it does not run cross-model retrieval to compare missed recall.