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🛻 物流订单处理 AI 代理(GPT-4o

中级

这是一个Sales, IT Ops领域的自动化工作流,包含 11 个节点。主要使用 If, Code, GmailTrigger, GoogleSheets, Agent 等节点。 🛻 物流订单处理 AI 代理(GPT-4o、Gmail 和 Google Sheet)

前置要求
  • Google 账号和 Gmail API 凭证
  • Google Sheets API 凭证
  • OpenAI API Key
工作流预览
可视化展示节点连接关系,支持缩放和平移
导出工作流
复制以下 JSON 配置到 n8n 导入,即可使用此工作流
{
  "meta": {
    "instanceId": "6a5e68bcca67c4cdb3e0b698d01739aea084e1ec06e551db64aeff43d174cb23",
    "templateCredsSetupCompleted": true
  },
  "nodes": [
    {
      "id": "bc49829b-45f2-4910-9c37-907271982f14",
      "name": "Sticky Note3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -140,
        320
      ],
      "parameters": {
        "width": 780,
        "height": 540,
        "content": "### 4. Do you need more details?\nFind a step-by-step guide in this tutorial\n![Guide](https://www.samirsaci.com/content/images/2025/03/Miniature-2.png)\n[🎥 Watch My Tutorial](https://www.youtube.com/watch?v=kQ8dO_30SB0)"
      },
      "typeVersion": 1
    },
    {
      "id": "40c6e16a-3b4f-4e28-b0a1-7066e0efab5d",
      "name": "AI Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        -460,
        -80
      ],
      "parameters": {
        "text": "=Email Subject:  {{ $json.subject }}\nEmail Body: \n{{ $json.text }}",
        "options": {
          "systemMessage": "=You are an assistant that processes emails related to inbound orders from Hermas.\n\nEach email has the subject line containing a purchase order reference (e.g., \"PO45231\").\nIn the email body, you will find:\n\nAn expected delivery date, typically in formats like 27/03/2025 or 2025-03-27.\n\nOne or more order lines, where each line contains:\n\nAn SKU (e.g., HERM-SHOE-001)\n\nA quantity (e.g., 120)\n\nYour goal is to extract the following fields:\n\npurchase_order: The PO number from the subject line (e.g., PO45231)\n\nexpected_delivery_date: In ISO format (e.g., 2025-03-27)\n\nlines: A list of objects with sku and quantity for each order line\n\nReturn your output strictly as a valid JSON object using the format below."
        },
        "promptType": "define",
        "hasOutputParser": true
      },
      "typeVersion": 1.8
    },
    {
      "id": "e9cb7bb1-40e7-463e-8b3f-417602338e5c",
      "name": "OpenAI Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        -520,
        120
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o-mini"
        },
        "options": {}
      },
      "typeVersion": 1.2
    },
    {
      "id": "468bdb39-223f-4bae-8bdb-a72272ab57c3",
      "name": "Structured Output Parser",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        -180,
        120
      ],
      "parameters": {
        "jsonSchemaExample": "{\n  \"purchase_order\": \"PO45231\",\n  \"expected_delivery_date\": \"2025-03-27\",\n  \"lines\": [\n    { \"sku\": \"HERM-SHOE-001\", \"quantity\": 120 },\n    { \"sku\": \"HERM-BAG-032\", \"quantity\": 45 },\n    { \"sku\": \"HERM-WATCH-105\", \"quantity\": 30 },\n    { \"sku\": \"HERM-SCARF-018\", \"quantity\": 80 }\n  ]\n}\n"
      },
      "typeVersion": 1.2
    },
    {
      "id": "667a8d43-1ce5-4ec8-871a-26007356a89e",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1000,
        -460
      ],
      "parameters": {
        "color": 7,
        "width": 380,
        "height": 720,
        "content": "### 1. Workflow Trigger with Gmail Trigger\nThe workflow is triggered by a new email received in your Gmail mailbox. \nIf the subject includes the string \"Inbound Order\" we proceed, if not we do nothing.\n\n#### How to setup?\n- **Gmail Trigger Node:** set up your Gmail API credentials\n[Learn more about the Gmail Trigger Node](https://docs.n8n.io/integrations/builtin/trigger-nodes/n8n-nodes-base.gmailtrigger)\n"
      },
      "typeVersion": 1
    },
    {
      "id": "e1e2d95a-9bbd-4bd5-92ec-7a4835db21a2",
      "name": "Sticky Note2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -600,
        -460
      ],
      "parameters": {
        "color": 7,
        "width": 660,
        "height": 720,
        "content": "### 2. AI Agent equipped with the query tool\nThe email body and subject are sent to the AI agent for parsing. The results include the **PO Number**, **expected delivery date** and all the order lines with **SKU ID** and **order quantity**. Outputs are formatted by the code node to fit in a Google Sheet.\n\n#### How to setup?\n- **AI Agent with the Chat Model**:\n   1. Add a **chat model** with the required credentials *(Example: Open AI 4o-mini)*\n   2. Adapt the system prompt to the format of your emails\n  [Learn more about the AI Agent Node](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent)"
      },
      "typeVersion": 1
    },
    {
      "id": "53375c17-a36c-431e-9ba6-07a9a84fc4c9",
      "name": "Sticky Note4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        80,
        -460
      ],
      "parameters": {
        "color": 7,
        "width": 460,
        "height": 540,
        "content": "### 3. Store the orderlines in a Google Sheet\nThe table generated by the **code node** includes all the order lines with the **PO Number** and the **expected delivery date**. This **Google Sheet Node** loads the content in a Google Sheet.\n\n#### How to setup?\n- **Add Results in Google Sheets**:\n   1. Add your Google Sheet API credentials to access the Google Sheet file\n   2. Select the file using the list, an URL or an ID\n   3. Select the sheet in which the vocabulary list is stored\n   4. Create the columns: **PO_NUMBER, EXPECTED_DELIVERY DATE, SKU_ID, QUANTITY**\n  [Learn more about the Google Sheet Node](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.googlesheets)"
      },
      "typeVersion": 1
    },
    {
      "id": "776cfc0e-264b-44cc-b534-dc387b0c9fce",
      "name": "Store Purchase Order Lines",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
        180,
        -80
      ],
      "parameters": {
        "columns": {
          "value": {
            "SKU_ID": "={{ $json.sku }}",
            "QUANTITY": "={{ $json.quantity }}",
            "PO_NUMBER": "={{ $json.purchase_order }}",
            "EXPECTED_DELIVERY DATE": "={{ $json.expected_delivery_date }}"
          },
          "schema": [
            {
              "id": "PO_NUMBER",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "PO_NUMBER",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "EXPECTED_DELIVERY DATE",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "EXPECTED_DELIVERY DATE",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "SKU_ID",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "SKU_ID",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "QUANTITY",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "QUANTITY",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            }
          ],
          "mappingMode": "defineBelow",
          "matchingColumns": [],
          "attemptToConvertTypes": false,
          "convertFieldsToString": false
        },
        "options": {},
        "operation": "append",
        "sheetName": {
          "__rl": true,
          "mode": "list",
          "value": "gid=0",
          "cachedResultUrl": "=",
          "cachedResultName": "="
        },
        "documentId": {
          "__rl": true,
          "mode": "list",
          "value": "1HnaJJ-DqzqgWJo2YwQDcgB6BgWiU6eMlnGvv4kapubg",
          "cachedResultUrl": "=",
          "cachedResultName": "="
        }
      },
      "notesInFlow": true,
      "typeVersion": 4.5
    },
    {
      "id": "d5c52625-fef2-47a9-b2a4-bf005d8b9e05",
      "name": "Email Received",
      "type": "n8n-nodes-base.gmailTrigger",
      "position": [
        -980,
        -80
      ],
      "parameters": {
        "simple": false,
        "filters": {},
        "options": {},
        "pollTimes": {
          "item": [
            {
              "mode": "everyMinute"
            }
          ]
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "6dc9e5cc-9ab3-469c-ad93-e0e7817ccbf7",
      "name": "Is PO?",
      "type": "n8n-nodes-base.if",
      "position": [
        -760,
        -80
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "f300ae2b-5de4-4efc-88ae-130a957588cb",
              "operator": {
                "type": "string",
                "operation": "contains"
              },
              "leftValue": "={{ $json.subject }}",
              "rightValue": "Inbound Order"
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "385db736-0867-46b9-9274-380e7c255fc4",
      "name": "Format Purchase Order Lines",
      "type": "n8n-nodes-base.code",
      "position": [
        -120,
        -80
      ],
      "parameters": {
        "jsCode": "const {purchase_order, expected_delivery_date, lines} = $input.first().json.output;\n\nreturn lines.map( line => ({\n  json: {\n    purchase_order,\n    expected_delivery_date,\n    sku: line.sku,\n    quantity: line.quantity\n  }\n}))\n"
      },
      "typeVersion": 2
    },
    {
      "id": "b2e39591-70be-4d7f-a5d4-1505741d6310",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1000,
        320
      ],
      "parameters": {
        "width": 780,
        "height": 720,
        "content": "### Test the workflow with this email!\n\n#### How?\n1. Send this email to the Gmail box you set up in your credentials.\n2. Click on Test workflow\n\n### Email\n**Email Subject:** Inbound Order PO45231 – Expected Delivery on 2025-03-27\n\n**Email Body:** \nDear LogiGreen Team,\n\nPlease find below the details of the upcoming inbound order.\n\nPurchase Order: PO45231\nExpected Delivery Date: 27/03/2025\n\nOrder Lines:\n\nSKU: HERM-SHOE-001 — Qty: 120\n\nSKU: HERM-BAG-032 — Qty: 45\n\nSKU: HERM-WATCH-105 — Qty: 30\n\nSKU: HERM-SCARF-018 — Qty: 80\n\nLet us know if you need any additional details.\n\nBest regards,\nSophie Lambert\nAdmin Assistant – Hermas Logistics\n📞 +33 1 23 45 67 89 78 84\n✉️ sophie.lambert@hermas.com\n"
      },
      "typeVersion": 1
    }
  ],
  "pinData": {},
  "connections": {
    "6dc9e5cc-9ab3-469c-ad93-e0e7817ccbf7": {
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            "type": "main",
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    },
    "40c6e16a-3b4f-4e28-b0a1-7066e0efab5d": {
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            "type": "main",
            "index": 0
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    },
    "d5c52625-fef2-47a9-b2a4-bf005d8b9e05": {
      "main": [
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            "type": "main",
            "index": 0
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      ]
    },
    "e9cb7bb1-40e7-463e-8b3f-417602338e5c": {
      "ai_languageModel": [
        [
          {
            "node": "40c6e16a-3b4f-4e28-b0a1-7066e0efab5d",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "468bdb39-223f-4bae-8bdb-a72272ab57c3": {
      "ai_outputParser": [
        [
          {
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            "type": "ai_outputParser",
            "index": 0
          }
        ]
      ]
    },
    "385db736-0867-46b9-9274-380e7c255fc4": {
      "main": [
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            "type": "main",
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    }
  }
}
常见问题

如何使用这个工作流?

复制上方的 JSON 配置代码,在您的 n8n 实例中创建新工作流并选择「从 JSON 导入」,粘贴配置后根据需要修改凭证设置即可。

这个工作流适合什么场景?

中级 - 销售, IT 运维

需要付费吗?

本工作流完全免费,您可以直接导入使用。但请注意,工作流中使用的第三方服务(如 OpenAI API)可能需要您自行付费。

工作流信息
难度等级
中级
节点数量11
分类2
节点类型8
难度说明

适合有一定经验的用户,包含 6-15 个节点的中等复杂度工作流

作者
Samir Saci

Samir Saci

@samirsaci

Automation, AI and Analytics for Supply Chain & Business Optimization Helping businesses streamline operations using n8n, AI agents, and data science to enhance efficiency and sustainability. Linkedin: www.linkedin.com/in/samir-saci

外部链接
在 n8n.io 查看

分享此工作流

分类

分类: 34