What Data for This Category Looks Like
Marketing content data for e-commerce services primarily originates from sales reports exported from e-commerce platform backends, product detail page script documents, operation manuals for marketing campaigns, and customer inquiry ticket history. Data update schedules align with marketing campaign cycles. Daily product documents update with new product launch frequencies. Campaign reports sync daily, weekly, or per campaign duration. Document types include structured Excel data tables, image-text combined PDF operation guides, and Word-format product promotion scripts. Fields include product ID, SKU code, customer unit price, advertising channel, and campaign time. Units include RMB yuan, impressions, clicks, and number of completed transactions, among others.
Constraints on Document Parsing and Chunking
Multi-sheet structured Excel reports for e-commerce services require parsing to support multi-tab extraction, to avoid missing campaign or cycle-specific business data. Image-text mixed marketing manuals often include original material images. The parsing process must retain these original images, and not perform forced OCR replacement. Frequently updated batch documents require parsing to support scheduled tasks and batch upload configurations, to prevent task interruptions from single-parsing timeouts or insufficient capacity. Multi-dimensional business fields require retaining field relevance during chunking, to avoid splitting cross-field business descriptions and ensure accurate subsequent retrieval.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_EXCEL_SHEET_MODE | Match by specified name + automatically identify campaign sheets | E-commerce service Excel reports often create sheets by campaign cycle or business module. This configuration accurately extracts target business data |
ENABLE_OCR | Set to false for image-text documents, enable on demand for plain text documents | E-commerce marketing content often includes original material images. Enabling OCR overwrites original image parsing and causes content loss |
CHUNK_SIZE | 800–1200 characters | E-commerce marketing content includes long-form product scripts and data descriptions. This length retains field relevance |
PARSE_FILE_MAX_SIZE | 2048 MB | E-commerce campaign reports often contain over 100,000 data entries. Large file parsing support is required |
PARSE_TIMEOUT_SECONDS | 1200 seconds | Large-volume Excel and batch multi-document parsing require longer timeout periods to avoid task mid-run interruptions |
ENABLE_MD_IMAGE_KEEP | true | Original material images in marketing content must be retained, to avoid content distortion from OCR replacement |
The parameter values provided on this page are general recommendations to serve as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: Only data from the first Excel sheet is extracted after parsing, with remaining sheet content missing. Cause:
PARSE_EXCEL_SHEET_MODEis not configured for multi-sheet extraction mode. The default setting only parses the first sheet. - Symptom: Image-text combined marketing manuals lose original images after parsing, and only retain text generated by OCR. Cause:
ENABLE_OCRwas accidentally enabled, and original image retention configuration was not activated. - Symptom: PDF enhancement parsing functionality has no effect when importing PPT or DOC files. Cause: The correct parsing engine for the document type was not selected. PDF enhancement functionality only supports PDF format documents.
How to Verify Configurations Are Correct
- Upload a single e-commerce campaign Excel document, check if the parsing result includes content from all target sheets, and verify that sheet names are complete.
- Upload a marketing manual document with original images, check if the parsing result retains original image links, with no content replaced by OCR-generated text.
- Upload a large-volume sales data table, confirm that the parsing task does not trigger a timeout error, and that all data rows are fully extracted.
- Test parsing non-PDF format documents, confirm that structured content can be generated normally after using the corresponding engine.
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.