🛻 procesamiento de pedidos de logística agente AI (GPT-4o, Gmail y Google Sheets)

Intermedio

Este es unSales, IT Opsflujo de automatización del dominio deautomatización que contiene 11 nodos.Utiliza principalmente nodos como If, Code, GmailTrigger, GoogleSheets, Agent. 🛻 procesamiento de pedidos de logística agente AI (GPT-4o, Gmail y Google Sheet)

Requisitos previos
  • Cuenta de Google y credenciales de API de Gmail
  • Credenciales de API de Google Sheets
  • Clave de API de OpenAI
Vista previa del flujo de trabajo
Visualización de las conexiones entre nodos, con soporte para zoom y panorámica
Exportar flujo de trabajo
Copie la siguiente configuración JSON en n8n para importar y usar este flujo de trabajo
{
  "meta": {
    "instanceId": "6a5e68bcca67c4cdb3e0b698d01739aea084e1ec06e551db64aeff43d174cb23",
    "templateCredsSetupCompleted": true
  },
  "nodes": [
    {
      "id": "bc49829b-45f2-4910-9c37-907271982f14",
      "name": "Nota Adhesiva3",
      "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": "Agentee de IA",
      "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": "Modelo de chat OpenAI",
      "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": "Nota Adhesiva1",
      "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": "Nota Adhesiva2",
      "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": "Nota Adhesiva4",
      "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": "Correo electrónico 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": "Nota adhesiva",
      "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": {
      "main": [
        [
          {
            "node": "Agente de IA",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Agente de IA": {
      "main": [
        [
          {
            "node": "385db736-0867-46b9-9274-380e7c255fc4",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Email Received": {
      "main": [
        [
          {
            "node": "6dc9e5cc-9ab3-469c-ad93-e0e7817ccbf7",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "Agente de IA",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "468bdb39-223f-4bae-8bdb-a72272ab57c3": {
      "ai_outputParser": [
        [
          {
            "node": "Agente de IA",
            "type": "ai_outputParser",
            "index": 0
          }
        ]
      ]
    },
    "385db736-0867-46b9-9274-380e7c255fc4": {
      "main": [
        [
          {
            "node": "776cfc0e-264b-44cc-b534-dc387b0c9fce",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}
Preguntas frecuentes

¿Cómo usar este flujo de trabajo?

Copie el código de configuración JSON de arriba, cree un nuevo flujo de trabajo en su instancia de n8n y seleccione "Importar desde JSON", pegue la configuración y luego modifique la configuración de credenciales según sea necesario.

¿En qué escenarios es adecuado este flujo de trabajo?

Intermedio - Ventas, Operaciones de TI

¿Es de pago?

Este flujo de trabajo es completamente gratuito, puede importarlo y usarlo directamente. Sin embargo, tenga en cuenta que los servicios de terceros utilizados en el flujo de trabajo (como la API de OpenAI) pueden requerir un pago por su cuenta.

Información del flujo de trabajo
Nivel de dificultad
Intermedio
Número de nodos11
Categoría2
Tipos de nodos8
Descripción de la dificultad

Adecuado para usuarios con experiencia intermedia, flujos de trabajo de complejidad media con 6-15 nodos

Autor
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

Enlaces externos
Ver en n8n.io

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Categorías

Categorías: 34