This page is written based on FastGPT v4.17.0.
What the data for this category looks like
Typical entities for this category include raw material warehouses, line-side warehouses, finished goods warehouses, and logistics and material control departments. Daily generated documents include receiving slips, putaway slips, material picking and return slips, warehouse transfer slips, inventory counts, lot ledgers, first-in first-out and expiration date records. Data mainly comes from ERP, WMS systems, barcode or RFID equipment, procurement and work order information, warehouse location archives, AGV or conveyor systems, and weighing data. Update frequencies cover real-time, daily, and monthly inventory cycles. Core fields include material code, lot number, warehouse location code, expiration date, inventory quantity, and other related items.
What constraints these characteristics impose on workflow orchestration
Data sources for this category are scattered, and update rhythms vary significantly. Workflow orchestration must support dynamic pulling from multiple data sources and field validation. Different documents have different field structures. Differentiated field mapping rules must be configured for different document types such as receiving slips and inventory counts within the workflow. Cross-process material location and state management requires continuous tracking of lot flow between workflow nodes. The core goals of inventory-book vs physical consistency and lot traceability require setting up exception trigger nodes. These nodes intercept and alert for missing key fields or inventory-book and physical mismatches.
How to set configurations
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
| Data Source Binding | Bind ERP, WMS, and barcode scanning interfaces via variables | Data sources for this category are scattered. Use variables to uniformly pull structured business fields |
| Node Trigger Timing | Real-time trigger (during receiving and warehouse transfer operations), daily scheduled trigger (during inventory reconciliation) | Matches the real-time, daily, and monthly inventory cycle data update frequencies |
| Field Validation Rules | Validate that lot number, warehouse location code, and expiration date fields are not empty | Supports core requirements for inventory-book vs physical consistency and lot traceability |
| Exception Node Timeout Threshold | 600 seconds | Covers the average response time range for cross-system data pulling |
nodeId Association | Bind lot ledger query and inventory-book vs physical difference processing nodes | Associate corresponding business data with workflow nodes to enable closed-loop tracking |
| Problem Optimization Trigger Timing | After data source pulling and field validation are complete | Ensures optimization actions are executed based on complete structured business data |
Three common mistakes
- Scenario: Workflow dialog shows failure, but response logs exist in the model backend. Cause: No cross-system data return node parameters configured in
variables, so the workflow cannot complete data transfer. - Scenario: Agent runtime error prompts that key fields are empty. Cause: No field validation rules set, and no filtering done for document data without valid lot numbers or warehouse location codes.
- Scenario: Problem optimization component does not produce expected results. Cause: The problem optimization component is placed before the data source pulling node, so complete business data is not obtained first.
How to confirm proper configuration
- Trigger the workflow for receiving slip entry, check if
variablessuccessfully pulls supplier qualification and basic material data from ERP. - Simulate an inventory-book vs physical difference scenario, confirm that the exception node triggers and sends corresponding alert information within 600 seconds.
- Adjust node order, verify that the problem optimization component executes as expected after data source pulling.
- View logs for nodes associated with
nodeId, confirm that lot ledger data correctly matches the business scenario of the current workflow node.
The values provided here are common starting points. Adjust them based on your own specific samples.