查询物流指数总分并输出建议

What This Skill Does

The '查询物流指数总分并输出建议' (Logistics Index Score & Advisory) skill is a sophisticated automation tool designed for logistics operations managers. It acts as an autonomous agent that navigates the Jingwei carrier platform to extract complex performance metrics. By integrating real-time browser interaction with historical spreadsheet data analysis, it bridges the gap between raw logistics data and actionable business intelligence.

This skill automates the tedious manual verification process of checking carrier performance. It triggers the browser to access carrier overview dashboards, captures snapshots, and reconciles this data with internal Excel reports ('2.xlsx' and '揽收及时率异常明细.xlsx'). It specifically identifies performance dips, provides trend analysis comparing the current date against a 7-day rolling window, and performs root-cause analysis on key performance indicators (KPIs) like '揽收及时率' (Collection Timeliness).

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal:

clawhub install openclaw/skills/skills/a-vb/fullask

Ensure that you have the necessary read permissions for the local Excel files required for cross-referencing your internal data metrics.

Use Cases

• Daily Performance Reviews: Quickly generate a concise summary report for carriers without manually browsing the web interface daily.
• Incident Investigation: When a carrier's logistics index drops, use this tool to immediately isolate whether the issue stems from timeliness, coverage, or specific collection delays.
• Operational Optimization: Proactively identify the number of non-compliant orders and categorize them into specific buckets to provide targeted feedback to the logistics providers.

Example Prompts

1. "查询京东快递在2023-10-27的物流指数总分，并给出运营优化建议。"
2. "查看承运商顺丰速运在2023-10-25的物流表现，分析其揽收及时率是否达标，并指出异常原因。"
3. "请分析圆通速递近一周的物流指数趋势，如果排名下滑，请输出具体的异常明细及整改建议。"

Tips & Limitations

• Data Readiness: Ensure that your local directories contain the latest '2.xlsx' and '揽收及时率异常明细.xlsx' files. The skill relies on these files to provide contextual depth that the web interface may not provide.
• Consistency: The skill currently assumes a standard layout for the carrier overview page. Updates to the Jingwei interface may require adjustments to the DOM selectors used in the script.
• Timeframes: The trend analysis feature is calibrated for a T-7 window. If you require long-term historical analysis (e.g., monthly), consider modifying the script to parse a wider data range within your Excel source files.
• Safety: Always verify sensitive logistics data before sharing reports with external carriers.