Citation Sources and Traceability for Footwear Smart Due Diligence Reports

Footwear smart due diligence data sources include style numbers and production batch data from brand internal ERP systems, public quality inspection

What the data for this category looks like

Footwear smart due diligence data sources include style numbers and production batch data from brand internal ERP systems, public quality inspection reports from the National Textile Products Quality Supervision and Inspection Center, raw material traceability and factory information from supply chain management platforms, and product parameters from official brand e-commerce product detail pages. Update cycles follow this schedule: core styles get production batch data updated quarterly. Full information is updated within 72 hours before new styles launch. Regular styles receive inventory-related data updates monthly. Each complete single-style document has four modules: basic information, raw material traceability, production records, and quality inspection results. Fields include style number, material type, size system, quality inspection test values, and supply chain traceability ID. Sizes use multiple unit systems such as EU, US, and CN. Quality inspection test values are marked with specific test results.

Footwear traceability data covers multiple nodes: raw materials, production, quality inspection, and sales. Citations must link unique identifiers from multiple data sources. Traceability cannot be completed using only a single document title. Fields such as size and material have multiple unit systems and type markings. Citations must retain the original units and markings of the fields. Unauthorized conversion is not allowed. Update cycles vary widely across different style types. New product data has strict timeliness requirements. Dynamic recall trigger conditions must be set to avoid citing expired batch data. Single-style documents have multiple modules with tightly linked content. Citations must accurately match content from the corresponding modules. Cross-module crawling will cause traceability information to become disorganized. This will fail to support compliance verification for due diligence.

How to set the configurations

Configuration ItemRecommended ValueRationale
Recall CountTop 8Footwear traceability data covers multi-module content. Too many recalled entries will cause redundant information to interfere with due diligence judgments, while too few will fail to cover all traceability nodes
Similarity Threshold0.75–0.85Similar expressions exist in fields such as footwear materials and sizes. A threshold that is too low will introduce irrelevant recalls, while a threshold that is too high will miss core traceability documents such as compliant quality inspection reports
PARSE_FILE_TIMEOUT_SECONDS120 secondsSingle-style footwear traceability documents contain multi-module long text content. Parsing time is longer than that of general apparel categories, so the timeout period must be extended to avoid parsing failures
Maximum Segment Length1000–1200 charactersFootwear quality inspection reports contain long-text test data. Segments that are too long will cause semantic fragmentation, while segments that are too short will destroy the relevance of traceability nodes
Traceability ID Binding RuleBind by the "Traceability Batch Number" field in the documentFootwear supply chain data uses batch numbers as unique identifiers. Binding ensures accurate association of multi-source data such as production and quality inspection, and ensures accurate traceability information
Reranked Return CountTop 3Due diligence reports need to prioritize core quality inspection and supply chain traceability content. Retaining the top 3 most relevant sources after reranking meets display requirements

The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing settings.

Three Common Mistakes

  • Symptom: After calling a knowledge base query, returned content is not linked to any traceability source. The source_info field is missing from logs. Cause: The Traceability ID Binding Rule is not configured. The system cannot recognize unique identifiers within documents, so citation associations cannot be established.
  • Symptom: After configuring a question-and-answer pair knowledge base, returned content includes self-generated supplementary explanations. It does not fully reuse the original answer. Cause: The Similarity Threshold is set too low. This recalls documents that are semantically similar to the target question-and-answer pair but do not match the content. Alternatively, the knowledge base content priority configuration item is not enabled.
  • Symptom: When parsing footwear quality inspection reports, the service does not respond for an extended period. A 504 timeout error is returned finally. Cause: The configured value of PARSE_FILE_TIMEOUT_SECONDS is too low. Parsing time for a single-style footwear document exceeds this threshold, causing parsing to interrupt.

How to Confirm Configuration is Complete

  • Upload the quality inspection report document for a single footwear style. Review the parsed field list to confirm core fields such as Traceability Batch Number are correctly extracted.
  • Initiate a query for the quality inspection items of this footwear style. Check that the returned result includes the source_info field. The field must contain the document source and specific paragraph position.
  • Adjust the Similarity Threshold. Compare recall results across different thresholds. Confirm that only footwear traceability documents highly relevant to the query are returned.
  • Simulate multiple calls. Check that parsing time does not exceed the configured PARSE_FILE_TIMEOUT_SECONDS value. No timeout errors should occur.

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.