What the Data for This Category Looks Like
Daily documents for this category include receiving slips, putaway slips, material picking and return slips, stock transfer slips, inventory count sheets, lot ledgers, first-in first-out (FIFO) and expiration date records. Core fields cover material codes, lot numbers, storage location numbers, expiration dates, receipt and issue quantities, and more. Common units are pieces, pallets, or kilograms. Data mainly comes from ERP/WMS systems, barcode or RFID collection devices, procurement and work order documents, storage location management data, AGV or conveyor system logs, and weighing data. Data update frequencies fall into three categories: real-time (such as AGV positions and real-time weighing data), daily (such as same-day receipt and issue documents), and monthly inventory (such as inventory ledgers).
What Constraints These Characteristics Impose on the "Multi-Turn Dialogue and Prompt Engineering" Link
The document and data characteristics of warehousing, lot tracking, and in-plant logistics impose multi-dimensional constraints on multi-turn dialogue and prompt configuration. First, multi-source heterogeneous data sources require the dialogue engine to distinguish between real-time collected data and historical ledger data. Prompts must clearly specify the time range and source type of the data. Second, the professionalism of core fields such as lot numbers and storage location codes requires that dialogue contexts be fixedly bound to key variables to avoid incorrect field extraction. In addition, cross-process material flow management requires multi-turn dialogue to track previous review results to ensure consistency of lot verification. The number of documents recalled in a single interaction must also be limited to avoid redundant data interfering with logic. Finally, the core requirement of book-actual inventory consistency must include verification rules in prompts, such as checking the matching between lot expiration dates and inventory status.
How to Set the Configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
messages context management | Retain the most recent 3 turns of dialogue and 2-6 associated document chunks | Warehousing documents are mostly lot-related. Previous material verification results must be tracked to avoid context overflow |
variables variable binding | Bind lot number, storage location ID, and expiration date fields | Core business fields extracted from ERP/WMS must be fixedly passed to the dialogue context to ensure review accuracy |
chatId session identifier | Generate a unique ID based on the combination of work order and lot | Prevent confusion of session data across work orders, and ensure contextual consistency for lot reviews |
| Single recall document limit | Top 6 matching documents | Warehousing document fields are concentrated. Excessive recall will interfere with dialogue logic and reduce review efficiency |
| Context timeout period | 600 seconds | Covers the batch verification cycle of monthly inventory data, and prevents session interruption mid-process |
| Question optimization toggle | Enabled | Simplifies spoken questions from warehouse staff into standardized technical document review instructions |
Three Common Mistakes
- Symptom: A 503 error is returned when uploading associated documents on the dialogue page, while the backend log shows the file was uploaded successfully. Cause: The document path parameter was not correctly bound via
variables, causing the dialogue engine to fail to locate the uploaded warehousing document files. - Symptom: Lot verification results are inconsistent across multi-turn dialogue. Cause: Session context was not bound via
chatId, causing review data from different work orders to be confused and preventing tracking of the full-process information for the same lot. - Symptom: Core fields such as storage location or expiration date are missing from prompt-generated results. Cause: Required warehousing document fields were not explicitly specified in the
messagescontext configuration, causing the dialogue engine to fail to focus on key review content.
How to Confirm Proper Configuration
- Create a test session, enter the lot number of a work order, and check whether the dialogue response context includes associated documents such as receiving slips and stock transfer slips corresponding to that lot.
- Upload a simulated inventory count sheet, trigger a dialogue review, and verify that the returned results include preset core fields such as material code, storage location, and expiration date.
- Launch 3 consecutive questions from different dimensions such as lot expiration date, storage location, and kit status to confirm that session results consistently associate with the lot data of the same work order.
- Check the backend session logs for FastGPT v4.17.0 to confirm that
chatIdis correctly bound to the work order lot, with no cross-session data mixed in.
The values provided are common starting points and should be measured against the reader's own samples.