Form and Interaction for Personal Care Product Profit Margins

The market data for personal care product profit margins comes from internal brand sales ledgers and public data interfaces from third-party retail

What the data for this category looks like

The market data for personal care product profit margins comes from internal brand sales ledgers and public data interfaces from third-party retail monitoring platforms. Data refreshes once daily, covering all valid transaction data from the previous calendar day. The delay is no more than 4 hours. Only daily snapshots from the past 30 days are retained. Each data entry uses a structured table format. Each row corresponds to a single SKU. It includes five core fields: SKU code, product name, same-day revenue, same-day cost, and calculated profit margin. Revenue and cost are measured in yuan. Calculated profit margin uses proportional units. Fields for some SKUs with no same-day transactions are left empty.

Constraints imposed on the form and interaction workflow

Since data uses individual SKUs as the smallest statistical unit, the form must support exact matching for SKU codes, fuzzy search for product names, and provide a bulk import query function for multiple SKUs. This avoids inefficient manual single-entry operations. Since data updates only once daily and only retains daily snapshots from the past 30 days, the form’s date picker must limit the selectable range to no more than 30 days. It loads the latest data from the previous day by default. Since the data includes three core fields: revenue, cost, and calculated profit margin, the result display page must support ascending or descending sorting by any field. It must also provide a function to customize displayed fields. Since some SKUs have no same-day transactions leading to empty fields, the form must provide a toggle option to hide or show null value data. This meets different user viewing needs.

Configuration Settings

Configuration ItemRecommended ValueRationale
batchQueryMaxSize50-200 itemsPersonal care SKU counts are relatively high. Controlling single bulk query volume within this range balances query efficiency and interface stability
filterEmptyFieldsEnabled by defaultSome SKUs have no same-day transaction data. Hiding empty fields improves result display clarity
dateRangeLimitDays30 daysData only retains daily snapshots from the past 30 days. No valid queryable data exists outside this range
sortableFieldsSKU code, product name, same-day revenue, same-day cost, calculated profit marginThese five fields are frequently used by users for result sorting
exportFieldWhitelistSKU code, product name, same-day revenue, same-day cost, calculated profit marginOnly export fields that are core to user concerns to avoid redundant data exports
searchMatchModeCombination of fuzzy matching and exact matchingSKU codes require exact matching to ensure query accuracy. Product names need fuzzy search to improve usability

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 case-by-case analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Configuration Mistakes

  • Phenomenon: The "Receiving message address verification failed" error prompt appears when configuring DingTalk message push. Cause: The public callback address of the FastGPT application was not correctly configured, the address was not confirmed to be accessible via the public network, and SSL certificate verification was not disabled as required (if no valid certificate is present).
  • Phenomenon: The number of SKUs returned by form bulk query is much lower than expected. Cause: The batchQueryMaxSize parameter was not adjusted correctly. The set value range is too small to cover the target query scope.
  • Phenomenon: The exported report contains a large number of non-core redundant fields. Cause: The exportFieldWhitelist parameter was not configured. All data source fields were exported by default, and core items of user concern were not filtered out.

How to Verify Successful Configuration

  • Enter the application's form configuration interface, check whether the configured value of batchQueryMaxSize matches the business's bulk query requirements.
  • Import a test list containing SKUs with no transactions, verify whether the form can correctly hide or show empty value fields.
  • Select a date range exceeding 30 days for query, confirm that the system prompts that query is not possible or returns empty results, which aligns with the dateRangeLimitDays configuration.
  • Generate an export file for query results, check whether the exported fields exactly match those configured in exportFieldWhitelist.

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.