🚚 Carbon Interface APIとGPT-4oを使用して貨物のCO2排出量を計算
中級
これはAI, IT Ops分野の自動化ワークフローで、10個のノードを含みます。主にHttpRequest, GmailTrigger, GoogleSheets, Agent, LmChatOpenAiなどのノードを使用、AI技術を活用したスマート自動化を実現。 🚚 Carbon Interface APIとGPT-4oを使用して貨物輸送のCO2排出量を計算
前提条件
- •ターゲットAPIの認証情報が必要な場合あり
- •Googleアカウント + Gmail API認証情報
- •Google Sheets API認証情報
- •OpenAI API Key
ワークフロープレビュー
ノード接続関係を可視化、ズームとパンをサポート
ワークフローをエクスポート
以下のJSON設定をn8nにインポートして、このワークフローを使用できます
{
"id": "umOZqpde6cAUTL8F",
"meta": {
"instanceId": "",
"templateCredsSetupCompleted": true
},
"name": "🚚 CO2 Emissions of Freight Shipments with Carbon Interface API and GPT-4o",
"tags": [],
"nodes": [
{
"id": "dc20a34f-90ff-4f4e-a2f7-7b77abb92f4c",
"name": "Gmail トリガー",
"type": "n8n-nodes-base.gmailTrigger",
"position": [
-320,
415
],
"parameters": {
"simple": false,
"filters": {},
"options": {
"downloadAttachments": false
},
"pollTimes": {
"item": [
{
"mode": "everyMinute"
}
]
}
},
"credentials": {
"gmailOAuth2": {
"id": "",
"name": ""
}
},
"notesInFlow": true,
"typeVersion": 1.2
},
{
"id": "984a0707-919c-4c67-b070-6b1caaea2946",
"name": "構造化出力パーサー",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
140,
600
],
"parameters": {
"jsonSchemaExample": "{\n \"shipment_number\": \"7894-PCB-654\",\n \"pickup_location\": \"Centre de Distribution Auchan\",\n \"pickup_address\": \"77 Rue Albert Garry, 94450 Limeil-Brévannes\",\n \"expected_pickup_time\": \"2024-09-24T09:00:00\",\n \"temperature_control\": \"Frozen\",\n \"destination_store_name\": \"Auchan Store 124\",\n \"destination_address\": \"43-45 Quai Jules Guesde, 94405 Vitry-sur-Seine\",\n \"expected_delivery_time\": \"2024-09-24T18:00:00\",\n \"driving_distance_km\": 9.61,\n \"estimated_transit_min\": 16.9,\n \"cargo_quantity\": 12,\n \"cargo_weight_tons\": 2.79\n}\n"
},
"typeVersion": 1.2
},
{
"id": "de58b711-25ef-42f7-a5ab-4bc1d20fd1fc",
"name": "AI エージェント Parser",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
-100,
415
],
"parameters": {
"text": "=Extract the structured shipment details from the following email:\n\n{{ $json.text }}\n",
"options": {
"systemMessage": "=You are a logistics assistant. When provided with the body of a shipment confirmation email, extract the following structured JSON object:\n\n{\n \"shipment_number\": string,\n \"pickup_location\": string,\n \"pickup_address\": string,\n \"expected_pickup_time\": string (ISO 8601, e.g. \"2024-09-24T09:00:00\"),\n \"temperature_control\": string,\n \"destination_store_name\": string,\n \"destination_address\": string,\n \"expected_delivery_time\": string (ISO 8601, e.g. \"2024-09-24T18:00:00\"),\n \"driving_distance_km\": number,\n \"estimated_transit_min\": number,\n \"cargo_quantity\": number,\n \"cargo_weight_tons\": number\n}\n\n- Extract **only** what’s listed.\n- Normalize dates and times to ISO 8601 format.\n- Remove units from numbers (e.g. 9.61 km → 9.61, 2.79 tons → 2.79).\n- Return only the JSON object. No additional explanation or text."
},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 1.9
},
{
"id": "05ca643f-774c-40a5-843f-76790c42d433",
"name": "OpenAI チャットモデル2",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
-100,
620
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "",
"name": ""
}
},
"typeVersion": 1.2
},
{
"id": "fb16f384-e73f-4c3f-be72-24fede7b2760",
"name": "Collect CO2 Emissions",
"type": "n8n-nodes-base.httpRequest",
"position": [
680,
420
],
"parameters": {
"url": "https://www.carboninterface.com/api/v1/estimates",
"method": "POST",
"options": {},
"jsonBody": "={\n \"type\": \"shipping\",\n \"weight_value\": {{ $('AI Agent Parser').item.json.output.cargo_weight_tons * 1000000 }},\n \"weight_unit\": \"g\",\n \"distance_value\": {{ $('AI Agent Parser').item.json.output.driving_distance_km }},\n \"distance_unit\": \"km\",\n \"transport_method\": \"truck\"\n}\n",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "Bearer YOUR_API_KEY"
},
{
"name": "Content-Type",
"value": "application/json"
}
]
}
},
"notesInFlow": true,
"typeVersion": 4.2
},
{
"id": "82c2db80-9a3a-421b-ad27-097a713fc3c2",
"name": "Load Results",
"type": "n8n-nodes-base.googleSheets",
"position": [
920,
420
],
"parameters": {
"columns": {
"value": {
"co2_kg": "={{ $json.data.attributes.carbon_kg }}",
"shipment_number": "={{ $('AI Agent Parser').item.json.output.shipment_number }}",
"co2_estimation_time": "={{ $json.data.attributes.estimated_at }}"
},
"schema": [
{
"id": "shipment_number",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "shipment_number",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "pickup_location",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "pickup_location",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "pickup_address",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "pickup_address",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "expected_pickup_time",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "expected_pickup_time",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "temperature_control",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "temperature_control",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "destination_store_name",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "destination_store_name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "destination_address",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "destination_address",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "expected_delivery_time",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "expected_delivery_time",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "driving_distance_km",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "driving_distance_km",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "estimated_transit_min",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "estimated_transit_min",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "cargo_quantity",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "cargo_quantity",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "cargo_weight_tons",
"type": "string",
"display": true,
"removed": true,
"required": false,
"displayName": "cargo_weight_tons",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "co2_kg",
"type": "string",
"display": true,
"required": false,
"displayName": "co2_kg",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "co2_estimation_time",
"type": "string",
"display": true,
"required": false,
"displayName": "co2_estimation_time",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"shipment_number"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "appendOrUpdate",
"sheetName": {
"__rl": true,
"mode": "list",
"value": 877993777,
"cachedResultUrl": "",
"cachedResultName": "CO2 emissions"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1NLNviRoVMEj2z78KiueruB5sd2CnvAb80DS7J2melVs",
"cachedResultUrl": "",
"cachedResultName": "Open Route Service"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "",
"name": ""
}
},
"notesInFlow": true,
"typeVersion": 4.6
},
{
"id": "94cd225d-1bc0-42b5-a466-7fad8b445e94",
"name": "付箋1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-360,
-60
],
"parameters": {
"color": 7,
"width": 180,
"height": 820,
"content": "### 1. Workflow Trigger with Gmail Trigger\nThe workflow is triggered by a new email received in your Gmail mailbox dedicated to process **shipment records**.\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": "3e4989f9-2ef4-4c60-98cc-d8b988162e54",
"name": "付箋2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-160,
-60
],
"parameters": {
"color": 7,
"width": 440,
"height": 820,
"content": "### 2. AI Agent to trip schedule report\nThis node will analyze the content of an email to extract structured information about a **shipment**, including **pickup/delivery times**, **addresses**, **cargo weight**, and **driving distance**.\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 emails you expect to receive *(type of information included)*\n [Learn more about the AI Agent Node](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent)\n"
},
"typeVersion": 1
},
{
"id": "7dc4dab6-2536-4373-b058-7487fc968c33",
"name": "付箋",
"type": "n8n-nodes-base.stickyNote",
"position": [
300,
-60
],
"parameters": {
"color": 7,
"width": 1180,
"height": 820,
"content": "### 3. Record Shipment Request Information and fetch emissions using the Carbon Interface API \nThis starts by recording all the structured shipment information parsed by the AI Agent node. Then, we use the **Carbon Interface API** to estimate **CO₂ emissions** based on cargo weight, distance, and transportation method.\n\n#### How to setup?\n\n- **Setup Carbon Interface API Credentials** \n 1. Get your free API key: [Carbon Interface API Documentation](https://docs.carboninterface.com/#/) \n 2. Fill the API key in the HTTP Request node headers (`Bearer YOUR_API_KEY`)\n\n- **Load records into the Google Sheet Node** \n 1. Add your Google Sheets API credentials to access your sheet \n 2. Select the file using the list, a URL, or its ID \n 3. Select the sheet where you want to log your shipping emissions \n 4. Map the fields: \n **shipment_number**, **pickup_location**, **pickup_address**, **expected_pickup_time**, **temperature_control**, **destination_store_name**, **destination_address**, **expected_delivery_time**, **driving_distance_km**, **estimated_transit_min**, **cargo_quantity**, **cargo_weight_tons**, **weight_value_g**, **co2_kg**, **co2_estimation_time**\n\n> Distance and weight values will be used to calculate carbon emissions via the Carbon Interface API.\n\n"
},
"typeVersion": 1
},
{
"id": "a51645cd-d3fe-4c3f-a7af-9bdd31eb9242",
"name": "Record Shipment Information",
"type": "n8n-nodes-base.googleSheets",
"position": [
420,
420
],
"parameters": {
"columns": {
"value": {
"cargo_quantity": "={{ $json.output.cargo_quantity }}",
"pickup_address": "={{ $json.output.pickup_address }}",
"pickup_location": "={{ $json.output.pickup_location }}",
"shipment_number": "={{ $json.output.shipment_number }}",
"cargo_weight_tons": "={{ $json.output.cargo_weight_tons }}",
"destination_address": "={{ $json.output.destination_address }}",
"driving_distance_km": "={{ $json.output.driving_distance_km }}",
"temperature_control": "={{ $json.output.temperature_control }}",
"expected_pickup_time": "={{ $json.output.expected_pickup_time }}",
"estimated_transit_min": "={{ $json.output.estimated_transit_min }}",
"destination_store_name": "={{ $json.output.destination_store_name }}",
"expected_delivery_time": "={{ $json.output.expected_delivery_time }}"
},
"schema": [
{
"id": "shipment_number",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "shipment_number",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "pickup_location",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "pickup_location",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "pickup_address",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "pickup_address",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "expected_pickup_time",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "expected_pickup_time",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "temperature_control",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "temperature_control",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "destination_store_name",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "destination_store_name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "destination_address",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "destination_address",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "expected_delivery_time",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "expected_delivery_time",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "driving_distance_km",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "driving_distance_km",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "estimated_transit_min",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "estimated_transit_min",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "cargo_quantity",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "cargo_quantity",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "cargo_weight_tons",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "cargo_weight_tons",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "co2_kg",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "co2_kg",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "co2_estimation_time",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "co2_estimation_time",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"shipment_number"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "appendOrUpdate",
"sheetName": {
"__rl": true,
"mode": "list",
"value": 877993777,
"cachedResultUrl": "",
"cachedResultName": "CO2 emissions"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "",
"cachedResultUrl": "",
"cachedResultName": "Open Route Service"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "",
"name": ""
}
},
"notesInFlow": true,
"typeVersion": 4.6
}
],
"active": false,
"pinData": {
"AI Agent Parser": [
{
"json": {
"output": {
"cargo_quantity": 12,
"pickup_address": "77 Rue Albert Garry, 94450 Limeil-Brévannes",
"pickup_location": "Centre de Distribution Auchan",
"shipment_number": "7894-PCB-654",
"cargo_weight_tons": 3.79,
"destination_address": "43-45 Quai Jules Guesde, 94405 Vitry-sur-Seine",
"driving_distance_km": 9.61,
"temperature_control": "Frozen",
"expected_pickup_time": "2024-09-24T09:00:00",
"estimated_transit_min": 16.9,
"destination_store_name": "Auchan Store 124",
"expected_delivery_time": "2024-09-24T18:00:00"
}
}
}
]
},
"settings": {
"executionOrder": "v1"
},
"versionId": "844e09c0-2706-43da-bd53-6c211b68aafc",
"connections": {
"82c2db80-9a3a-421b-ad27-097a713fc3c2": {
"main": [
[]
]
},
"Gmail Trigger": {
"main": [
[
{
"node": "AI Agent Parser",
"type": "main",
"index": 0
}
]
]
},
"AI Agent Parser": {
"main": [
[
{
"node": "a51645cd-d3fe-4c3f-a7af-9bdd31eb9242",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model2": {
"ai_languageModel": [
[
{
"node": "AI Agent Parser",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"fb16f384-e73f-4c3f-be72-24fede7b2760": {
"main": [
[
{
"node": "82c2db80-9a3a-421b-ad27-097a713fc3c2",
"type": "main",
"index": 0
}
]
]
},
"Structured Output Parser": {
"ai_outputParser": [
[
{
"node": "AI Agent Parser",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"a51645cd-d3fe-4c3f-a7af-9bdd31eb9242": {
"main": [
[
{
"node": "fb16f384-e73f-4c3f-be72-24fede7b2760",
"type": "main",
"index": 0
}
]
]
}
}
}よくある質問
このワークフローの使い方は？
上記のJSON設定コードをコピーし、n8nインスタンスで新しいワークフローを作成して「JSONからインポート」を選択、設定を貼り付けて認証情報を必要に応じて変更してください。
このワークフローはどんな場面に適していますか？
中級 - 人工知能, IT運用
有料ですか？
このワークフローは完全無料です。ただし、ワークフローで使用するサードパーティサービス（OpenAI APIなど）は別途料金が発生する場合があります。
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ワークフロー情報
難易度
中級
ノード数10
カテゴリー2
ノードタイプ7
作成者
Samir Saci
@samirsaciAutomation, 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
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