What the data for this category looks like
Logistics intelligent due diligence report data primarily comes from logistics service providers’ waybill ledgers, warehouse in-and-outbound vouchers, trunk transportation trajectory logs, and cargo ownership documents. Data update frequency aligns with business nodes: individual waybills sync in real time after generation, while bulk warehouse data updates via daily aggregation. Document formats include structured Excel ledgers, PDF reports with embedded tables, and scanned delivery orders. Core fields include waybill numbers, gross cargo weight (unit: kilogram), volume (unit: cubic meter), origin and destination details, and transportation time cycles. Some documents also include text-based GPS trajectory records.
Constraints for Document Parsing and Chunking
Parsing tools must preserve field correspondence for structured ledgers with fixed column formats, to avoid information confusion caused by column misalignment. Scanned delivery orders often have blurry fonts and missing table borders, so parsing tools must adapt OCR recognition rules for low-quality images. Real-time updated waybill data requires parsing tasks to support incremental triggering, to prevent repeated parsing of already processed files. Mixed input of different document types during bulk multi-file uploads requires differentiated parsing rules. Long text segments from trajectory logs must be split by transportation nodes, to stop semantic confusion across nodes from harming subsequent retrieval.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_OCR_QUALITY_THRESHOLD | 0.6–0.7 | Logistics scanned documents commonly have blurry borders and faint handwriting. This range balances recognition accuracy and processing time. |
CHUNK_MAX_SIZE | 800–1000 characters | Logistics documents include short-field waybill information and long-text trajectory segments. This chunk length avoids semantic confusion across transportation nodes. |
UPLOAD_FILE_ALLOWED_EXTENSIONS | pdf, xlsx, csv, jpg, png | Covers mainstream document formats for logistics due diligence reports: structured ledgers, PDF reports, and scanned delivery orders. |
PARSE_INCREMENTAL_SYNC | Enabled | Logistics data updates in real time or daily based on business nodes. Incremental parsing reduces resource consumption from repeated parsing of already processed files. |
MAX_RECALL_CHUNKS | Top 3–5 entries | Logistics due diligence requires associating data from waybills, warehouses, and trajectories. A small number of precise chunks improves retrieval relevance. |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Parsing large multi-page PDFs or bulk Excel ledgers takes significant time. This duration covers standard bulk tasks. |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by document format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Phenomenon: After bulk uploading logistics documents, search results cannot associate to content fragments from a specified file. Cause: Independent file metadata identifiers are not configured for each uploaded file, leading to confusion of chunked content from different files and inability to accurately match retrieval requests.
- Phenomenon: A large number of garbled fields appear after parsing scanned delivery orders. Cause: The
PARSE_OCR_QUALITY_THRESHOLDparameter is not adjusted to the range adapted for low-quality images, resulting in failed OCR recognition. - Phenomenon: When searching for logistics trajectory-related content, returned chunks include multiple unrelated transportation node details. Cause: The
CHUNK_MAX_SIZEvalue is too large, merging consecutive long trajectory texts into a single chunk and breaking semantic boundaries between nodes.
How to Verify Proper Configuration
- Upload a single scanned logistics delivery order, review field content after OCR recognition, and adjust corresponding configuration items to match the current document’s image quality.
- Bulk upload multiple types of logistics documents, traverse the parsed chunk list, and confirm that chunks from different source files do not have content confusion.
- Search for content related to a specified waybill number, check whether returned chunks only associate with the business data of that waybill and include no unrelated fragments.
- Upload a single large logistics ledger file, confirm that the parsing task does not trigger a timeout error, and verify the configuration’s rationality.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.