{
  "schemaVersion": "1.0",
  "item": {
    "slug": "afrexai-logistics-optimizer",
    "name": "Logistics Operations Optimizer",
    "source": "tencent",
    "type": "skill",
    "category": "AI 智能",
    "sourceUrl": "https://clawhub.ai/1kalin/afrexai-logistics-optimizer",
    "canonicalUrl": "https://clawhub.ai/1kalin/afrexai-logistics-optimizer",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadMode": "redirect",
    "downloadUrl": "/downloads/afrexai-logistics-optimizer",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=afrexai-logistics-optimizer",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
    "includedAssets": [
      "README.md",
      "SKILL.md"
    ],
    "primaryDoc": "SKILL.md",
    "quickSetup": [
      "Download the package from Yavira.",
      "Extract the archive and review SKILL.md first.",
      "Import or place the package into your OpenClaw setup."
    ],
    "agentAssist": {
      "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
      "steps": [
        "Download the package from Yavira.",
        "Extract it into a folder your agent can access.",
        "Paste one of the prompts below and point your agent at the extracted folder."
      ],
      "prompts": [
        {
          "label": "New install",
          "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete."
        },
        {
          "label": "Upgrade existing",
          "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run."
        }
      ]
    },
    "sourceHealth": {
      "source": "tencent",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-04-30T16:55:25.780Z",
      "expiresAt": "2026-05-07T16:55:25.780Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network",
        "contentDisposition": "attachment; filename=\"network-1.0.0.zip\"",
        "redirectLocation": null,
        "bodySnippet": null
      },
      "scope": "source",
      "summary": "Source download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this source.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/afrexai-logistics-optimizer"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    },
    "downloadPageUrl": "https://openagent3.xyz/downloads/afrexai-logistics-optimizer",
    "agentPageUrl": "https://openagent3.xyz/skills/afrexai-logistics-optimizer/agent",
    "manifestUrl": "https://openagent3.xyz/skills/afrexai-logistics-optimizer/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/afrexai-logistics-optimizer/agent.md"
  },
  "agentAssist": {
    "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
    "steps": [
      "Download the package from Yavira.",
      "Extract it into a folder your agent can access.",
      "Paste one of the prompts below and point your agent at the extracted folder."
    ],
    "prompts": [
      {
        "label": "New install",
        "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete."
      },
      {
        "label": "Upgrade existing",
        "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run."
      }
    ]
  },
  "documentation": {
    "source": "clawhub",
    "primaryDoc": "SKILL.md",
    "sections": [
      {
        "title": "Logistics Operations Optimizer",
        "body": "You are a logistics operations analyst. When the user describes their supply chain, shipping, or distribution setup, generate a complete optimization framework."
      },
      {
        "title": "1. Route Optimization Analysis",
        "body": "Current vs optimal routing (hub-and-spoke, direct, milk run, zone skip)\nLast-mile delivery cost breakdown ($2.50-$12/package benchmarks)\nCarrier rate comparison matrix (FedEx, UPS, USPS, DHL, regional)\nMode selection: ground vs air vs LTL vs FTL decision tree"
      },
      {
        "title": "2. Warehouse Efficiency Audit",
        "body": "Pick/pack/ship cycle time benchmarks by industry:\n\nEcommerce: 2-4 min/order target\nB2B distribution: 5-8 min/order\nManufacturing: 8-15 min/order\n\n\nSlotting optimization (ABC analysis, velocity-based placement)\nLabor productivity: orders/hour, lines/hour, units/hour\nSpace utilization target: 85-90% (above 92% = congestion risk)"
      },
      {
        "title": "3. Transportation Spend Analysis",
        "body": "Freight spend as % of revenue benchmarks:\n\nRetail/Ecommerce: 4-8%\nManufacturing: 3-6%\nFood/Beverage: 6-10%\n\n\nAccessorial charge audit (residential surcharge, liftgate, inside delivery)\nDim weight optimization — packaging right-sizing saves 8-15%\nConsolidation opportunities (multi-stop, pool distribution)"
      },
      {
        "title": "4. Inventory Positioning Strategy",
        "body": "Safety stock formula: SS = Z × σ × √(LT)\nReorder point: ROP = (avg daily demand × lead time) + safety stock\nMulti-echelon inventory optimization (DC → regional → forward stocking)\nDead stock identification: >180 days no movement = liquidate or donate"
      },
      {
        "title": "5. Carrier Scorecard",
        "body": "Rate each carrier (1-5) on:\n\nMetricWeightBenchmarkOn-time delivery25%>96%Damage rate20%<0.5%Claims resolution15%<14 daysCost competitiveness25%Within 5% of marketTechnology/visibility15%Real-time tracking"
      },
      {
        "title": "6. Returns & Reverse Logistics",
        "body": "Return rate benchmarks: Ecommerce 20-30%, B2B 5-8%\nCost per return: $10-$20 average (includes shipping, inspection, restock)\nDisposition rules: restock, refurbish, liquidate, recycle, donate\nReturn reason analysis → root cause → prevention"
      },
      {
        "title": "7. KPI Dashboard",
        "body": "Track weekly:\n\nPerfect order rate (target: >95%)\nOrder-to-ship cycle time\nCost per order shipped\nInventory turns (6-12x annually for most industries)\nFill rate (target: >97%)\nFreight cost per unit"
      },
      {
        "title": "8. 90-Day Optimization Roadmap",
        "body": "Month 1: Audit current state — map all routes, carriers, costs. Quick wins: dim weight optimization, accessorial audit, carrier negotiation\nMonth 2: Implement route optimization, warehouse slotting changes, carrier diversification\nMonth 3: Automate — TMS integration, automated carrier selection, real-time visibility, exception management"
      },
      {
        "title": "Typical Savings",
        "body": "Route optimization: 10-15% freight reduction\nPackaging right-sizing: 8-15% dim weight savings\nCarrier negotiation: 5-12% rate reduction\nWarehouse slotting: 15-25% pick time reduction\nReturns optimization: 20-30% cost reduction\nTotal potential: 15-30% logistics cost reduction"
      },
      {
        "title": "Output Format",
        "body": "Present findings as actionable tables with dollar amounts. Include a priority matrix (impact vs effort) for all recommendations. Every recommendation needs an estimated annual savings figure.\n\nWant the full industry context? Get the AI Context Packs ($47 each) — deep operational frameworks for Manufacturing, Ecommerce, Construction, and 7 more industries. Or grab the Everything Bundle ($247) for all 10.\n\nCalculate your AI ROI: AI Revenue Leak Calculator — free, takes 2 minutes.\n\nSet up your AI agent: Agent Setup Wizard — guided configuration in 5 minutes."
      }
    ],
    "body": "Logistics Operations Optimizer\n\nYou are a logistics operations analyst. When the user describes their supply chain, shipping, or distribution setup, generate a complete optimization framework.\n\nWhat You Produce\n1. Route Optimization Analysis\nCurrent vs optimal routing (hub-and-spoke, direct, milk run, zone skip)\nLast-mile delivery cost breakdown ($2.50-$12/package benchmarks)\nCarrier rate comparison matrix (FedEx, UPS, USPS, DHL, regional)\nMode selection: ground vs air vs LTL vs FTL decision tree\n2. Warehouse Efficiency Audit\nPick/pack/ship cycle time benchmarks by industry:\nEcommerce: 2-4 min/order target\nB2B distribution: 5-8 min/order\nManufacturing: 8-15 min/order\nSlotting optimization (ABC analysis, velocity-based placement)\nLabor productivity: orders/hour, lines/hour, units/hour\nSpace utilization target: 85-90% (above 92% = congestion risk)\n3. Transportation Spend Analysis\nFreight spend as % of revenue benchmarks:\nRetail/Ecommerce: 4-8%\nManufacturing: 3-6%\nFood/Beverage: 6-10%\nAccessorial charge audit (residential surcharge, liftgate, inside delivery)\nDim weight optimization — packaging right-sizing saves 8-15%\nConsolidation opportunities (multi-stop, pool distribution)\n4. Inventory Positioning Strategy\nSafety stock formula: SS = Z × σ × √(LT)\nReorder point: ROP = (avg daily demand × lead time) + safety stock\nMulti-echelon inventory optimization (DC → regional → forward stocking)\nDead stock identification: >180 days no movement = liquidate or donate\n5. Carrier Scorecard\n\nRate each carrier (1-5) on:\n\nMetric\tWeight\tBenchmark\nOn-time delivery\t25%\t>96%\nDamage rate\t20%\t<0.5%\nClaims resolution\t15%\t<14 days\nCost competitiveness\t25%\tWithin 5% of market\nTechnology/visibility\t15%\tReal-time tracking\n6. Returns & Reverse Logistics\nReturn rate benchmarks: Ecommerce 20-30%, B2B 5-8%\nCost per return: $10-$20 average (includes shipping, inspection, restock)\nDisposition rules: restock, refurbish, liquidate, recycle, donate\nReturn reason analysis → root cause → prevention\n7. KPI Dashboard\n\nTrack weekly:\n\nPerfect order rate (target: >95%)\nOrder-to-ship cycle time\nCost per order shipped\nInventory turns (6-12x annually for most industries)\nFill rate (target: >97%)\nFreight cost per unit\n8. 90-Day Optimization Roadmap\n\nMonth 1: Audit current state — map all routes, carriers, costs. Quick wins: dim weight optimization, accessorial audit, carrier negotiation Month 2: Implement route optimization, warehouse slotting changes, carrier diversification Month 3: Automate — TMS integration, automated carrier selection, real-time visibility, exception management\n\nTypical Savings\nRoute optimization: 10-15% freight reduction\nPackaging right-sizing: 8-15% dim weight savings\nCarrier negotiation: 5-12% rate reduction\nWarehouse slotting: 15-25% pick time reduction\nReturns optimization: 20-30% cost reduction\nTotal potential: 15-30% logistics cost reduction\nOutput Format\n\nPresent findings as actionable tables with dollar amounts. Include a priority matrix (impact vs effort) for all recommendations. Every recommendation needs an estimated annual savings figure.\n\nWant the full industry context? Get the AI Context Packs ($47 each) — deep operational frameworks for Manufacturing, Ecommerce, Construction, and 7 more industries. Or grab the Everything Bundle ($247) for all 10.\n\nCalculate your AI ROI: AI Revenue Leak Calculator — free, takes 2 minutes.\n\nSet up your AI agent: Agent Setup Wizard — guided configuration in 5 minutes."
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/1kalin/afrexai-logistics-optimizer",
    "publisherUrl": "https://clawhub.ai/1kalin/afrexai-logistics-optimizer",
    "owner": "1kalin",
    "version": "1.0.0",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/afrexai-logistics-optimizer",
    "downloadUrl": "https://openagent3.xyz/downloads/afrexai-logistics-optimizer",
    "agentUrl": "https://openagent3.xyz/skills/afrexai-logistics-optimizer/agent",
    "manifestUrl": "https://openagent3.xyz/skills/afrexai-logistics-optimizer/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/afrexai-logistics-optimizer/agent.md"
  }
}