Zoho Mail에서 AI 기반 이메일 분류 및 라벨링

• •대상 API의 인증 정보가 필요할 수 있음

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              "description": "Emails related to invoices, payments, refunds, receipts, and financial queries.\nExamples:\n“I haven’t received my invoice for July.”\n“Can you send me a receipt for my last payment?”\n“I’d like a refund for my subscription.”"
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            {
              "category": "hr and recruitment",
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        "jsCode": "// n8n Code node (Node.js)\n// Input expectation:\n//  - Previous node (HTTP Request) returns the Zoho labels JSON you showed,\n//    typically available as items[0].json (or items[0].json.body in some setups).\n//  - Optionally pass a category on the incoming item, e.g. items[0].json.category = \"support\"\n//\n// Output:\n//  - json.labelMap        -> { [displayNameLowerCase]: labelId }\n//  - json.selectedLabelId -> labelId for provided category (if any), else null\n\n// Try to grab the payload regardless of whether it's at json or json.body\nconst root = items[0]?.json?.body ?? items[0]?.json;\n\n// Normalize to the array you posted, then to its `.data` array\nconst dataArray =\n  Array.isArray(root)        ? root[0]?.data :\n  Array.isArray(root?.data)  ? root.data     :\n  null;\n\nif (!Array.isArray(dataArray)) {\n  throw new Error('Could not find labels array at input[0].json (or .json.body)[0].data');\n}\n\n// Build a case-insensitive map: displayName (lowercase) -> labelId\nconst labelMap = {};\nfor (const entry of dataArray) {\n  if (!entry?.displayName || !entry?.labelId) continue;\n  labelMap[entry.displayName.toLowerCase()] = entry.labelId;\n}\n\n// If caller provided a category, resolve it (case-insensitive)\nconst categoryRaw =\n  items[0]?.json?.category ??\n  items[0]?.json?.Category ??\n  items[0]?.json?.displayName ?? '';\n\nconst category = String(categoryRaw).trim().toLowerCase();\nconst out = { labelMap };\n\nif (category) {\n  out.selectedLabelId = labelMap[category] ?? null;\n}\n\nreturn [{ json: out }];\n"
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        "width": 672,
        "height": 1088,
        "content": "\n## Try It Out!\n\n### This n8n template demonstrates how to use AI to automatically classify and organize incoming emails in **Zoho Mail** by applying the correct label (e.g., Support, Billing, HR, etc.).\n\nUse cases include:\n\n-   Automatically routing customer support requests to the right team.\n    \n-   Keeping billing and finance emails separate from general communication.\n    \n-   Streamlining HR and recruitment email handling.\n    \n-   Reducing inbox clutter and ensuring nothing important is missed.\n    \n\n----------\n\n### How it works\n\n-   The workflow is triggered whenever a new email arrives in Zoho Mail.\n    \n-   Zoho OAuth credentials are used to authenticate and fetch all available labels from your inbox.\n    \n-   A lookup map is created to match each label’s **display name → label ID**.\n    \n-   The AI model analyzes the email subject and body to predict the correct category.\n    \n-   Based on the classification, the workflow routes the email to the corresponding branch.\n    \n-   Finally, the correct Zoho Mail label is applied (node deactivated by default for safe testing).\n    \n\n----------\n\n### How to use\n\n-   Replace the **Zoho Mail Account ID** in the _Set Account ID_ node.\n    \n-   Configure your **Zoho OAuth credentials** in the _Get Access Token_ node.\n    \n-   Activate the **AI-Powered Email Categorization & Labeling in Zoho Mail** node once you are ready to run in production.\n    \n-   Test with sample emails to validate classification before enabling on your live inbox.\n    \n\n----------\n\n### Requirements\n\n-   Zoho Mail account with API access enabled.\n    \n-   Zoho OAuth credentials configured in n8n.\n    \n-   An AI model (via OpenRouter or other provider) for text classification.\n"
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    },
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      "position": [
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      "parameters": {
        "color": 3,
        "width": 764,
        "height": 376,
        "content": "## Output\n![](https://ik.imagekit.io/tscnqj8zf/Zoho_email_labelling.png?updatedAt=1756894481455)"
      },
      "typeVersion": 1
    }
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          "date": "Wed, 3 Sep 2025 15:03:50 +0530",
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