{
  "nodes": [
    {
      "id": "extract-inbound-orders-to-google-sheets-0",
      "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.\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": "extract-inbound-orders-to-google-sheets-1",
      "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": "extract-inbound-orders-to-google-sheets-2",
      "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": "extract-inbound-orders-to-google-sheets-3",
      "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": {
          "cellFormat": "RAW",
          "useAppend": true
        },
        "operation": "append",
        "sheetName": {
          "__rl": true,
          "mode": "name",
          "value": "Sheet1"
        },
        "documentId": {
          "__rl": true,
          "mode": "id",
          "value": "YOUR_SPREADSHEET_ID"
        }
      },
      "notesInFlow": true,
      "typeVersion": 4.5
    },
    {
      "id": "extract-inbound-orders-to-google-sheets-4",
      "name": "Email Received",
      "type": "n8n-nodes-base.gmailTrigger",
      "position": [
        -980,
        -80
      ],
      "parameters": {
        "simple": false,
        "filters": {},
        "options": {},
        "pollTimes": {
          "item": [
            {
              "mode": "everyMinute"
            }
          ]
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "extract-inbound-orders-to-google-sheets-5",
      "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": "={{ $json.subject }}",
              "rightValue": "Inbound Order"
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "extract-inbound-orders-to-google-sheets-6",
      "name": "Format Purchase Order Lines",
      "type": "n8n-nodes-base.code",
      "position": [
        -120,
        -80
      ],
      "parameters": {
        "jsCode": "function rows({result}){if(!result||typeof result.purchase_order!=='string'||!result.purchase_order.trim()||typeof result.expected_delivery_date!=='string'||!/^\\d{4}-\\d{2}-\\d{2}$/.test(result.expected_delivery_date)||!Array.isArray(result.lines)||!result.lines.length)throw Error('Invalid order extraction');const values=result.lines.map(x=>{if(!x||typeof x.sku!=='string'||!x.sku.trim()||!Number.isFinite(x.quantity)||x.quantity<=0)throw Error('Invalid order line');return [result.purchase_order,result.expected_delivery_date,x.sku,x.quantity]});return {values}}\n\nreturn $input.all().flatMap((item,i)=>rows({result:item.json.output}).values.map(v=>({json:{purchase_order:v[0],expected_delivery_date:v[1],sku:v[2],quantity:v[3]},pairedItem:{item:i}})));"
      },
      "typeVersion": 2
    }
  ],
  "pinData": {},
  "connections": {
    "Is PO?": {
      "main": [
        [
          {
            "node": "AI Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "AI Agent": {
      "main": [
        [
          {
            "node": "Format Purchase Order Lines",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Email Received": {
      "main": [
        [
          {
            "node": "Is PO?",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "AI Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Structured Output Parser": {
      "ai_outputParser": [
        [
          {
            "node": "AI Agent",
            "type": "ai_outputParser",
            "index": 0
          }
        ]
      ]
    },
    "Format Purchase Order Lines": {
      "main": [
        [
          {
            "node": "Store Purchase Order Lines",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "name": "Extract Inbound Orders to Google Sheets",
  "active": false
}