What Data for This Category Looks Like
Core data for this category comes from ERP/WMS systems, barcode or RFID collection devices, purchase work orders, storage location ledgers, AGV transport systems, and weighing equipment. Daily generated documents include receiving slips, putaway slips, material picking and return slips, warehouse transfer slips, inventory checklists, lot ledgers, and expiration date records. Data update frequencies include real-time (e.g., scanned inbound goods), daily (e.g., daily inventory summaries), and monthly (e.g., full warehouse inventory reconciliations). Most document fields include material code, lot number, storage location number, expiration date, inbound/outbound quantity and unit. Some documents require association with corresponding work order numbers.
What Constraints These Characteristics Impose on Workflow Orchestration
Scattered data sources and varying update frequencies require workflows to support both multi-data source triggers and scheduled triggers. This ensures real-time inbound data and daily summary data can be correctly collected. Many document fields require association with work order and lot information. Workflows must include field validation nodes to ensure core fields such as material code and lot number are complete and accurate. Cross-process material transfer requires consistent data synchronization between workflow nodes. This prevents discrepancies between book records and actual inventory. Lot and expiration date management needs require workflows to include validation links for expiration date alerts and lot traceability.
Configuration Settings
This configuration is based on FastGPT v4.17.0. Specific parameters are listed below:
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Warehousing-related documents are mostly structured tables with limited explanatory text; this length can fully cover a single material lot’s information |
| Single Search Limit | Top 8 entries | Lot and logistics data entries are concentrated; excessive results will interfere with AI extraction accuracy |
| Reference Content Template | Material Code: {material code}, Lot Number: {lot number}, Storage Location: {storage location number}, Expiration Date: {expiration date} | Aligns with the core fields of warehousing documents, facilitating accurate extraction of required information |
| Reference Template Prompt | Generate process documents or exception reports based on the following warehousing and logistics data | Clearly specifies the AI data source type, avoiding confusion with business data from other categories |
variables | Calibrated based on actual testing | Must adapt to lot validation rules for different work orders, with flexible adjustment of variable ranges |
nodeId | Named according to node function (e.g., batchCheck, reportGenerate) | Facilitates workflow debugging and exception locating |
Three Common Misconfigurations
- Symptom: Results differ between workflow debugging and front-end actual testing. Cause: Dynamic assignment of
variablesis configured in the workflow, but the front-end test does not pass valid values for the corresponding variables. - Symptom: Workflows cannot accurately extract any warehousing document content from the knowledge base. Cause: No retrieval rules matching lot numbers or material codes are set, and only general keyword searches are used, leading to redundant recall results and low matching accuracy.
- Symptom: Custom variables in guest links are not visible and cannot be debugged. Cause: Publicly accessible variables are not marked in the workflow’s
variablesconfiguration, causing the guest environment to fail to load the corresponding parameters.
How to Confirm Proper Configuration
- Copy the input parameters that passed workflow debugging, send a request on the front-end test page, and compare the field completeness and accuracy of the two results.
- Manually enter different material lot numbers, verify whether the workflow can recall the corresponding lot’s ledger and expiration date records from the knowledge base.
- Generate a guest link, pass the preset
variablesparameters, and check whether the link can load normally and generate the corresponding documents. - View the workflow’s node logs, confirm that the input and output fields of each node match the configured
nodeIdnaming, and there are no abnormal errors.
The values listed here are common starting points, and should be evaluated against the reader’s own samples.