What the data for this category looks like
E-commerce service intelligent due diligence data mainly comes from e-commerce platform open APIs, structured reports exported from merchant ERP systems, and synchronized data from third-party e-commerce data aggregation tools. Core data includes four modules: basic store information, periodic transaction data, product performance, and after-sales fulfillment data. Common formats are CSV, Excel, or structured JSON. Update cadences vary by data layer: real-time traffic and after-sales data can be pulled for updates, inventory data syncs hourly, and transaction and product data is summarized daily. Available fields include store ID, total transaction amount, valid order count, average order value, logistics delivery duration, and more. Corresponding units are numeric identifier, CNY, count, CNY per order, and hour, respectively.
What constraints these characteristics impose on model access and configuration
The multi-source, heterogeneous nature of e-commerce due diligence data requires preset multi-format adaptation rules during configuration. This ensures compatibility with CSV, Excel, JSON and other export formats, and prevents parsing errors. Differences in data update cadences require layered synchronization trigger intervals. These match the update cycles of hourly traffic data and daily transaction data. Standardized alignment of structured fields requires configuration of field mapping rules. This unifies the key names of similar data from different sources. Variable data volume based on store scale requires reserved configuration items for dynamically adjusting batch processing thresholds. This adapts to due diligence data inputs of different magnitudes.
How to set configurations
| Configuration Key | Recommended Setting | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 2000 MB | E-commerce due diligence reports often include bulk data across multiple product categories. 2000 MB covers full monthly data for most mid-sized and large stores |
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Bulk e-commerce data file parsing requires extended processing time. This setting prevents task interruptions due to timeout |
SYNC_DATA_INTERVAL | 1 hour / 24 hours | Configure by data type layer: set hourly traffic data to 1 hour, daily transaction data to 24 hours. This matches the update cadence |
FIELD_MAPPING_RULES | Configure in the format "source key name → target unified key name", for example, map gmv to total_transaction_amount | Diverse e-commerce data sources lead to varied key names. Unified key names reduce ambiguity in model input and improve the accuracy of due diligence analysis |
MODEL_MAX_TOKEN | 8192 | E-commerce due diligence data includes multiple modules of fields. Sufficient token length is required to ensure the model reads all critical information completely |
OPENAI_PROXY_ENABLED | Enabled | Some scenarios require a proxy to access model services. Enabling the proxy ensures stable invocation link |
The parameter values provided on this page are general recommendations that serve as a starting point for configuration. Actual values are affected by material 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 errors
- Symptom: After configuring
OPENAI_PROXY_ENABLEDandOPENAI_API_KEY, test calls return error code 400. Cause: Correct proxy address and valid API key were not configured at the same time, or the proxy did not allow outbound requests to the model service. - Symptom: When uploading bulk e-commerce due diligence data, some structured fields parse as empty. Cause:
FIELD_MAPPING_RULESwere not configured, leading to mismatched key names from different sources. The parsing engine cannot identify valid fields. - Symptom: After uploading e-commerce product screenshots via the front-end button, the model cannot identify product information in the screenshots. Cause: Multimodal model image input configuration was not enabled, or the uploaded image format is not supported.
How to confirm configuration is complete
- Input a small sample of standard e-commerce due diligence data to call the model, and verify that the returned results include the content of the unified mapped fields.
- Upload e-commerce data files in different formats, and verify that the parsing results match the configured
FIELD_MAPPING_RULES. - Trigger a scheduled synchronization task, and verify that the data update time matches the configured synchronization interval.
- Test the model invocation link, and confirm that requests flow through the configured proxy address without blocking errors.
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.