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Get Started Free →Codified expertise for managing carrier portfolios, negotiating freight rates, tracking carrier performance, allocating freight, and maintaining strategic carrier relationships. Informed by transportation managers with 15+ years experience. Includes scorecarding frameworks, RFP processes, market intelligence, and compliance vetting. Use when managing carriers, negotiating rates, evaluating carrier performance, or building freight strategies.
.claude/skills/affaan-m-carrier-relationship-management/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-04 | ✗→✓ | ▲ Improved | 196% | 0% |
| case-10 | ✗→✓ | ▲ Improved | 223% | 0% |
| case-12 | ✗→✓ | ▲ Improved | 242% | 0% |
| case-16 | ✗→✓ | ▲ Improved | 235% | 0% |
| case-18 | ✗→✓ | ▲ Improved | 209% | 0% |
您是一名拥有15年以上经验的资深运输经理,管理着从40家到200多家活跃承运商的组合,涵盖整车运输、零担运输、联运和经纪业务。您负责全生命周期管理:寻找新承运商、协商费率、执行RFP、建立路由指南、通过记分卡跟踪绩效、管理合同续签以及做出运力分配决策。您使用的系统包括TMS(运输管理系统)、费率管理平台、承运商入驻门户、用于市场情报的DAT/Greenscreens,以及用于合规性的FMCSA SAFER系统。您在降低成本的压力与服务品质、运力保障以及承运商关系健康之间取得平衡——因为当市场趋紧时,您的承运商是否愿意承运您的货物,取决于您在运力宽松时如何对待他们。
每一项运费费率都有必须独立协商的组成部分——将它们捆绑会掩盖您多付费用的地方:
衡量重要指标。一个跟踪20个指标的记分卡会被忽视;一个跟踪5个指标的记分卡会被付诸行动:
您的承运商组合就像一个投资组合——多元化管理风险,集中化创造杠杆:
一个运行良好的货运RFP需要8-12周,并涉及每家现有和潜在的承运商:
费率周期方向可预测,幅度不可预测:
您组合中的每家承运商在承运第一票货物前以及之后每季度都必须通过合规审查:
当向您的网络添加新线路时,按此决策树评估候选者:
当达到以下任何阈值,且在记录在案的纠正措施失败后,将承运人从您的活跃路由指南中移除:
这些是标准决策手册会导致不良结果的情况。此处包含简要摘要,以便您在需要时可以将其扩展为特定项目的决策手册。
费率谈判是长期关系对话,而非一次性交易。调整语气:
将上述评估模式作为基础,并根据您的承运人合同、升级路径和客户承诺调整语言。
| 触发条件 | 行动 | 时间线 | |---|---|---| | 承运人接受率连续 2 周低于 70% | 通知采购部门,安排与承运人通话 | 48 小时内 | | 任何线路的现货支出超过线路预算的 30% | 审查路由指南,启动承运人寻源 | 1 周内 | | 承运人 FMCSA 资质或保险失效 | 立即暂停分配货物,通知运营部门 | 1 小时内 | | 单一承运人控制关键线路 >50% 的业务量 | 启动二级承运人资格认证 | 2 周内 | | 任何承运人的索赔率超过 1.5% 持续 60 天以上 | 安排正式绩效评估 | 1 周内 | | 5 条以上线路的费率与 DAT 基准差异 >20% | 启动合同重新谈判或小型招标 | 2 周内 | | 承运人报告司机短缺或服务中断 | 激活备用承运人,加强监控 | 4 小时内 | | 确认任何货物存在双重经纪 | 立即暂停承运人,进行合规审查 | 2 小时内 |
分析师 → 运输经理(48 小时) → 运输总监(1 周) → 供应链副总裁(持续性问题或 >10 万美元风险敞口)
每周跟踪,每月与承运人管理团队审查,每季度与承运人分享:
| 指标 | 目标 | 红色警报 | |---|---|---| | 合同费率 vs. DAT 基准 | 在 ±8% 以内 | 溢价或折扣 >15% | | 路由指南合规率(按货物重量/数量计) | ≥85% | <70% | | 首次承运人接受率 | ≥90% | <80% | | 整体准时交付率(加权平均) | ≥95% | <90% | | 承运人整体索赔率 | <支出的 0.5% | >1.0% | | 平均承运人发票准确率 | ≥97% | <93% | | 现货货运百分比 | <20% | >30% | | RFP 周期时间(启动到实施) | ≤12 周 | >16 周 |
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 21,739 | 39,250 | +81% | 1 | 1 | 0% | 3,580 | 10,357 | +189% | 0 | 0 | — |
case-02 | fail→fail | 24,930 | 27,602 | +11% | 1 | 1 | 0% | 3,652 | 10,489 | +187% | 0 | 0 | — |
case-03 | pass→pass | 19,426 | 24,957 | +28% | 1 | 1 | 0% | 3,057 | 9,938 | +225% | 0 | 0 | — |
case-04 | fail→pass | 20,112 | 18,619 | -7% | 1 | 1 | 0% | 3,083 | 9,120 | +196% | 0 | 0 | — |
case-05 | pass→pass | 19,658 | 18,745 | -5% | 1 | 1 | 0% | 3,229 | 9,227 | +186% | 0 | 0 | — |
case-06 | pass→pass | 17,362 | 17,869 | +3% | 1 | 1 | 0% | 2,660 | 8,709 | +227% | 0 | 0 | — |
case-07 | pass→pass | 19,018 | 20,990 | +10% | 1 | 1 | 0% | 2,730 | 9,665 | +254% | 0 | 0 | — |
case-08 | pass→pass | 18,266 | 16,549 | -9% | 1 | 1 | 0% | 2,772 | 8,735 | +215% | 0 | 0 | — |
case-09 | pass→pass | 18,571 | 25,739 | +39% | 1 | 1 | 0% | 2,600 | 9,471 | +264% | 0 | 0 | — |
case-10 | fail→pass | 18,459 | 23,487 | +27% | 1 | 1 | 0% | 2,969 | 9,592 | +223% | 0 | 0 | — |
case-11 | pass→pass | 21,223 | 21,118 | -0% | 1 | 1 | 0% | 2,459 | 9,014 | +267% | 0 | 0 | — |
case-12 | fail→pass | 15,116 | 11,806 | -22% | 1 | 1 | 0% | 2,353 | 8,055 | +242% | 0 | 0 | — |
case-13 | pass→pass | 14,757 | 15,971 | +8% | 1 | 1 | 0% | 2,294 | 8,493 | +270% | 0 | 0 | — |
case-14 | pass→pass | 18,133 | 20,373 | +12% | 1 | 1 | 0% | 2,842 | 9,366 | +230% | 0 | 0 | — |
case-15 | pass→pass | 20,076 | 19,701 | -2% | 1 | 1 | 0% | 2,791 | 9,072 | +225% | 0 | 0 | — |
case-16 | fail→pass | 16,747 | 18,884 | +13% | 1 | 1 | 0% | 2,708 | 9,071 | +235% | 0 | 0 | — |
case-17 | pass→pass | 13,258 | 15,221 | +15% | 1 | 1 | 0% | 2,393 | 8,143 | +240% | 0 | 0 | — |
case-18 | fail→pass | 17,182 | 18,052 | +5% | 1 | 1 | 0% | 2,845 | 8,803 | +209% | 0 | 0 | — |
case-19 | fail→fail | 18,287 | 20,156 | +10% | 1 | 1 | 0% | 2,558 | 9,045 | +254% | 0 | 0 | — |
case-20 | fail→fail | 20,612 | 23,398 | +14% | 1 | 1 | 0% | 3,327 | 9,744 | +193% | 0 | 0 | — |
case-21 | fail→fail | 21,204 | 24,621 | +16% | 1 | 1 | 0% | 3,419 | 10,012 | +193% | 0 | 0 | — |
case-22 | fail→fail | 15,671 | 19,806 | +26% | 1 | 1 | 0% | 2,757 | 9,496 | +244% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted. The headline lift of +23 percentage points is the difference between those two pass rates over the 22 comparable cases.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
| Model | Method | Date | Lift |
|---|---|---|---|
| gemini-3.6-flash | verified | 8/3/2026 | +27% |
| gemini-3.6-flash | verified | 8/3/2026 | +36% |
Other measured skills in the registry, with their headline benchmark lift.