What Data for This Category Looks Like
Profitability-related data for this category comes from internal brand inventory and sales systems, public sales application programming interfaces (APIs) of mainstream e-commerce platforms, and third-party industry monitoring databases. Daily sales data for individual SKUs updates at 2:00 AM daily. Monthly cost accounting data updates before the 5th of each month. Data documents follow a structured table format, with each row corresponding to a single SKU. Fields include SKU identification code, general product name, raw material cost per unit, terminal selling price, total monthly purchase volume, actual monthly sales volume, and channel type. Units for raw material cost per unit and terminal selling price are yuan per item. Total purchase volume and actual sales volume use items as their unit. No percentage-based statistical fields are included.
Constraints Imposed by These Characteristics on the Tool Calling and Plugins Workflow
Multi-source data access requires plugins to support aggregated calls to inventory, e-commerce platform, and third-party monitoring APIs, and to be compatible with return field mapping rules for different APIs. Differences in update frequencies across data sources require tool calling configurations to distinguish call frequencies for daily sales data and monthly cost data, to avoid high-frequency triggering of monthly data APIs which may cause rate limiting. The fixed fields of the structured table require that the SKU identification code must be specified as a query condition during tool calling; otherwise, returned results will include large volumes of irrelevant SKU data. The non-percentage unit attributes require plugins to unify pricing and sales volume units across channels, to prevent profitability calculation errors caused by unit mismatches.
How to Configure Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
plugin_api_timeout | 300 seconds | APIs for personal care product-related data typically respond within 3 minutes. This value covers most normal requests and prevents timeout interruptions |
plugin_request_concurrency | 10–15 | Rate limiting thresholds for mainstream inventory and e-commerce data APIs are mostly below 15 concurrent requests. This range avoids triggering API rate limits |
plugin_field_mapping | Associate multi-source data using SKU identification code | Data documents use SKU identification code as the unique identifier. This configuration enables accurate association of cross-source data from inventory and e-commerce platforms |
plugin_schedule_interval | 86400 seconds | Daily sales data updates on a fixed daily schedule. This interval matches the data update rhythm to ensure the timeliness of reported data |
plugin_parse_unit | Enabled | Pricing and sales volume units vary across channels. Enabling this setting allows unified conversion to standard units of yuan per item and items |
plugin_api_whitelist | Configure domain names of authorized brand APIs | Prevents calls to unauthorized interfaces that may introduce data security risks, and aligns with enterprise data usage policies |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, 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
- Sales volume fields returned after plugin calls are empty. Cause: The SKU identification code was not configured as an association condition in
plugin_field_mapping, leading to failed cross-source data matching and failure to pull corresponding sales volume data. - After Docker deployment of version 4.14.8, the plugin container fails to start, with logs showing a
plugin_pull_timeouterror. Cause: The default plugin image pull address for this version does not adapt to domestic network environments, and no custom image source is configured, leading to pull timeout. - The number of profitability results from scheduled reports is significantly lower than the actual number of SKUs. Cause: The
plugin_request_concurrencyvalue is too high, triggering API rate limits. Some SKU data requests are blocked, resulting in incomplete returned results.
How to Confirm Proper Configuration
- Call the plugin test interface, check if returned results include preset fields such as SKU identification code, raw material cost per unit, and terminal selling price, to confirm that field mapping configuration is active.
- View plugin call logs to confirm that the concurrent number of interface requests meets the preset rate limiting requirements, and no rate limit-related errors appear.
- Compare daily sales data pulled by the plugin with publicly available sales data from corresponding channels, to confirm that values after unit conversion match actual data.
- Check scheduled task execution logs to confirm that daily plugin calls match the data update rhythm.
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.