What data looks like for this category
The core data for this category comes from ERP, WMS systems, barcode/RFID identification devices, purchase work orders, inventory location ledgers, AGV conveying systems and weighing equipment. Daily generated documents include receiving slips, putaway slips, material picking and return slips, inventory transfer slips, inventory check lists, lot ledgers, first-in first-out and expiration date records. Fields covered include material code, lot number, inventory location number, expiration date, and quantity units (pieces, pallets, kilograms, etc.). Data update frequencies include real-time (such as AGV position, weighing data), daily (such as material picking and return records), and monthly inventory checks (such as inventory reconciliation data).
Constraints imposed by these characteristics on the workflow orchestration link
Multi-source heterogeneous data sources require workflows to configure multiple nodes to connect different data sources. This avoids data omission or format mismatch. Business scenarios with different update frequencies require matching trigger rules. Real-time data must be bound to event triggers. Monthly inventory check tasks must be configured with timed triggers. Fields strongly associated with lots require the workflow to extract and verify core fields such as lot number and expiration date. This ensures accurate Q&A matching. Errors directly affect production rhythm. Pre-check links must be added in the workflow to avoid issues such as wrong material usage or expired material usage.
Configuration Settings
Configuration settings are based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Question Optimization | Execute before knowledge base recall | First optimize user questions about lots and inventory locations to match accurate warehousing document content |
| Maximum Context | 800–1200 characters | Includes core fields of lot ledgers and expiration date records, avoids redundant information interfering with Q&A |
variables | Bind material code, lot number, inventory location number | Extract core fields from user questions or upstream nodes for accurate recall of corresponding warehousing documents |
nodeId | Bind the ID of the warehousing data query node | Ensure the Q&A node calls the correct data source, avoids calling unrelated production nodes |
| Node Timeout | 600 seconds | Wait for returns from WMS interfaces, AGV data and other real-time warehousing statuses, avoids task interruption |
| Single Search Limit | Top 5 entries | Limit the number of returned results, focus on warehousing data corresponding to the current work order or lot |
Three Common Misconfigurations
- Phenomenon: The workflow runtime prompt does not call as expected. The returned content does not match the warehousing data of the corresponding lot. Cause: Core fields such as lot number and material code are not bound in
variables. This causes the prompt to fail to obtain accurate context information. - Phenomenon: The agent reports an error during process orchestration. It returns empty fields and fails to generate answers normally. Cause: Variable transfer between nodes is not configured. Material data from the upstream data query node is not synchronized to the downstream Q&A node.
- Phenomenon: The question optimization component does not take effect. The submitted question is not optimized. Cause: The question optimization component is placed after the knowledge base recall node. This causes the optimized question to fail to match the corresponding warehousing document content.
How to Verify Proper Configuration
- Trigger a test question. Enter a question containing a specific lot number and inventory location number. Check if the content of the corresponding warehousing document is returned.
- View the workflow runtime log. Confirm that the core fields such as material code and lot number bound in
variableshave been correctly extracted and transferred. - Simulate a timed trigger task. Check if the monthly inventory check workflow executes as planned.
- Simulate a WMS interface delay scenario. Confirm that the node timeout setting takes effect and the task is not interrupted early.
The values provided here are common starting points and should be evaluated against samples relevant to the specific deployment.