What the data for this category looks like
Data sources include periodic reports disclosed by listed beauty enterprises and publicly available operational briefings from brands. Update cadence aligns with statutory disclosure deadlines for annual, semi-annual, and quarterly reports. Document structures include consolidated financial statements, business operation analysis sections, breakdowns of revenue by channel and product category, and breakdowns of R&D and marketing spending. Most fields cover revenue from segmented product categories, online and offline channel revenue, and single-brand sales data. Units are mostly Renminbi yuan or ten thousand yuan. Some documents include statistical fields related to member repurchase rates.
What constraints these characteristics impose on the model access and configuration phase
The large number of breakdown dimensions for segmented product category revenue requires precise matching of segmented fields such as skincare, makeup, and perfume when connecting the model, to avoid generalized extraction bias seen in generic financial report analysis. The fixed disclosure cadence requires configuring trigger rules for scheduled synchronization tasks to align with quarterly, semi-annual, and annual update deadlines. Documents contain both structured financial statements and unstructured business analysis text, so differentiated parsing rules must be configured to handle table fields and free-form text content separately. Some documents include single-brand sales data, so label extraction rules must be configured to associate product category and brand dimensions, to avoid mixing sales data from different brands.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Cosmetics financial reports include multiple segments of segmented product category revenue analysis, requiring sufficient context to avoid truncation of critical information |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Annual financial reports include multiple structured tables and long-form business analysis, resulting in longer parsing times |
UPLOAD_FILE_MAX_SIZE | 500–1000 MB | A single annual financial report may include multiple periods of data and attachments, resulting in generally larger file sizes |
Recall Count | Top 6–8 results | Cosmetics financial reports have a large number of segmented fields, requiring sufficient relevant segments to be recalled while avoiding interference from redundant information |
Similarity Threshold | 0.75–0.85 | Segmented product category revenue fields have specific wording, requiring filtering of irrelevant text with low matching accuracy |
Segment Length | 1000–1500 characters | Business analysis paragraphs in financial reports are long, and reasonable segmentation can improve the model's extraction accuracy for segmented fields |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: In multi-turn conversations, it is not possible to associate previously mentioned cosmetics segmented product category revenue questions, and the next round of replies does not expand using historical keywords. Cause: The conversation context saving configuration is not enabled, or the
maxContextvalue is set too small, resulting in truncation of historical conversation information. - Phenomenon: The model returns duplicate thinking process text in its results. Cause: The model's chain-of-thought output switch is not turned off, or a parameter that forces display of the reasoning process is configured, resulting in unnecessary content being included in the final result.
- Phenomenon: After configuring the external call interface, a parameter mismatch error is returned during the call. Cause: The system prompt word adapted for cosmetics financial report analysis is not specified in the external configuration, or the third-party model's interface address and authentication configuration are not mapped correctly.
How to confirm the configuration is complete
- Upload a single quarterly cosmetics financial report document, view the parsed text fragments, and verify that fields such as segmented product category revenue and channel data are correctly extracted.
- Initiate two linked test conversations: first ask about the revenue of a specific skincare brand, then ask about the online channel share of that brand, and verify that the second round of replies associates the brand information mentioned in the first round.
- Configure a scheduled synchronization task, wait for the next disclosure deadline to trigger, and verify that the task completes on time and the parsed document has no missing fields.
- Call the external interface to initiate a test request, and verify that the returned results include segmented analysis content for cosmetics financial reports, with no redundant thinking process text.
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.