Sistema inteligente de pedidos y recomendaciones de restaurante basado en Gemini AI y Telegram

• •Bot Token de Telegram
• •Credenciales de API de Google Sheets
• •Clave de API de Google Gemini

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  "name": "Smart Restaurant Order & Suggestion System with Gemini AI and Telegram",
  "tags": [],
  "nodes": [
    {
      "id": "4492f7c4-0f63-4cc9-9772-b1d8194dd2fb",
      "name": "Activador de Nuevo Pedido (Formulario)",
      "type": "n8n-nodes-base.formTrigger",
      "position": [
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      ],
      "webhookId": "cab910e4-9ffd-483b-8fc7-c1f4973ea948",
      "parameters": {
        "options": {},
        "formTitle": "Oneclick Restaurant Order - Table number 1",
        "formFields": {
          "values": [
            {
              "fieldLabel": "Please enter your name",
              "placeholder": "John doe",
              "requiredField": true
            },
            {
              "fieldType": "number",
              "fieldLabel": "Please enter your phone number",
              "placeholder": "123456789"
            },
            {
              "fieldType": "number",
              "fieldLabel": "Tandoori Chicken  -  250 Rupees"
            },
            {
              "fieldType": "number",
              "fieldLabel": "Biryani - 200 Rupees"
            },
            {
              "fieldType": "number",
              "fieldLabel": "Masala Dosa - 150 Rupees"
            },
            {
              "fieldType": "number",
              "fieldLabel": "Idli vada - 100 Rupees"
            },
            {
              "fieldType": "number",
              "fieldLabel": "Dal Tadka - 150 Rupees"
            },
            {
              "fieldType": "number",
              "fieldLabel": "Steam Rice - 100 Rupees"
            },
            {
              "fieldLabel": "Paratha - 30 Rupees"
            },
            {
              "fieldType": "number",
              "fieldLabel": "Paneer butter masal - 250 Rupees"
            },
            {
              "fieldType": "number",
              "fieldLabel": "Fix Thali - 150 Rupees"
            }
          ]
        },
        "formDescription": "Please add your dish quantity and submit to place your order"
      },
      "typeVersion": 2.2
    },
    {
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            "Customer name": "={{ $json.name }}",
            "costomer mobile number": "={{ $json.mobile }}"
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              "type": "string",
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              "required": false,
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              "canBeUsedToMatch": true
            },
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              "id": "Customer name",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Customer name",
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              "canBeUsedToMatch": true
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            {
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      "parameters": {
        "jsCode": "// Input comes from the previous node\nconst data = $('Extract & Format Order Data').first().json.dishes;\n\nreturn data;\n"
      },
      "typeVersion": 2
    },
    {
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      "name": "Preparar Detalles del Plato para IA",
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            "Customer id": "={{ $('Extract & Format Order Data').item.json.customerId }}",
            "actual price": "={{ $json.totalPrice }}",
            "dish quantity": "={{ $json.quantity }}",
            "per unit price": "={{ $json.unitPrice }}"
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              "required": false,
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            {
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              "type": "string",
              "display": true,
              "required": false,
              "displayName": "dish name",
              "defaultMatch": false,
              "canBeUsedToMatch": true
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              "display": true,
              "required": false,
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              "canBeUsedToMatch": true
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        "jsCode": "// Fetch all incoming items\nconst items = $input.all();\n\n// Extract the raw row data (each item.json is one row)\nconst rawRows = items.map(item => item.json);\n\n// Bundle everything into a single field\nconst payload = { rows: rawRows };\n\n// Return a single output item whose json contains your full dataset\nreturn [{ json: { data: payload } }];"
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        "text": "={{ $json.data }}",
        "options": {
          "systemMessage": "You are a friendly AI assistant for a restaurant, designed to suggest dishes that customers might enjoy based on their recent order. \n\nWe will provide you with structured JSON input representing a customer’s previous order, for example:\n\nYou are a friendly AI assistant for a restaurant, designed to suggest dishes that customers might enjoy based on their recent order. \n\nWe will provide you with structured JSON input representing a customer’s previous order, for example:\n\n{\n  \"customerId\": \"CUST-1D0RWH\",\n  \"name\": \"ajay\",\n  \"mobile\": \"9898989898\",\n  \"dishes\": [\n    { \"dishName\": \"Tandoori Chicken\", \"quantity\": 1, \"unitPrice\": 250, \"totalPrice\": 250 },\n    { \"dishName\": \"Masala Dosa\",       \"quantity\": 1, \"unitPrice\": 150, \"totalPrice\": 150 },\n    { \"dishName\": \"Idli vada\",         \"quantity\": 1, \"unitPrice\": 100, \"totalPrice\": 100 },\n    { \"dishName\": \"Dal Tadka\",         \"quantity\": 1, \"unitPrice\": 150, \"totalPrice\": 150 },\n    { \"dishName\": \"Paratha\",           \"quantity\": 2, \"unitPrice\": 30,  \"totalPrice\": 60 },\n    { \"dishName\": \"Paneer butter masal\",\"quantity\":1, \"unitPrice\": 250,\"totalPrice\":250 }\n  ]\n}\n\nYour job:\n1. Analyze the dishes—look at cuisine types, flavors, categories, and quantities.\n2. Recommend **3–5 other dishes** likely to appeal to this customer, explaining *why* (e.g., complementary flavors, similar cuisines, balancing variety).\n3. Output JSON with:\n   - `suggestions`: an array of objects each with `dishName` and `reason`\n\n**Important formatting rules:**\n- Output must be strictly valid JSON (no extra text).\n- Follow this structure exactly:\n\n\nYour job:\n1. Analyze the dishes—look at cuisine types, flavors, categories, and quantities.\n2. Recommend **3–5 other dishes** likely to appeal to this customer, explaining *why* (e.g., complementary flavors, similar cuisines, balancing variety).\n3. Output JSON with:\n   - `suggestions`: an array of objects each with `dishName` and `reason`\n\n**Important formatting rules:**\n- Output must be strictly valid JSON (no extra text).\n- Follow this structure exactly:"
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        "promptType": "define"
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      "typeVersion": 1.9
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        "jsCode": "// Step 1: Fetch the raw output from the AI Agent node\nconst aiResponse = $node[\"Gemini AI Dish Suggestion Agent\"].json.output; // Update \"AI Agent\" to your node name\n\n// Step 2: Strip Markdown fences if present\nconst markdownPattern = /^```json\\s*([\\s\\S]*)\\s*```$/;\nconst cleaned = aiResponse.replace(markdownPattern, \"$1\");\n\n// Step 3: Parse JSON safely\nlet parsed;\ntry {\n  parsed = JSON.parse(cleaned);\n} catch (err) {\n  throw new Error(`Failed to parse AI response JSON: ${err.message}`);\n}\n\n// Step 4: Return each suggestion as its own item (n8n format)\nreturn parsed.suggestions.map(s => ({\n  json: {\n    customerId: parsed.customerId,\n    ...s\n  }\n}));\n"
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      "typeVersion": 2
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      "name": "Enviar Sugerencias vía Telegram",
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      "parameters": {
        "text": "={{ $json.dishName }}\n\n{{ $json.reason }}",
        "chatId": "newchatid",
        "additionalFields": {}
      },
      "credentials": {
        "telegramApi": {
          "id": "3ubbGgZx2YzylQZu",
          "name": "Telegram account - test"
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      "typeVersion": 1.2
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      "name": "Modelo de Chat",
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      "position": [
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      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.5-pro"
      },
      "credentials": {
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          "id": "RvSkIBjP48ORJKhU",
          "name": "Google Gemini(PaLM) Api account - test"
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      "parameters": {
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        "width": 160,
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        "content": "Triggered when a customer submits their dish order form."
      },
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      "name": "Nota Adhesiva1",
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      "parameters": {
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        "content": "Adds customer details to the Google Sheet.\n"
      },
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    },
    {
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      "name": "Nota Adhesiva2",
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        "height": 520,
        "content": "Uses Gemini AI to recommend related dishes or offers."
      },
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    },
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      "parameters": {
        "color": 2,
        "width": 800,
        "height": 320,
        "content": "### This workflow helps automate restaurant order processing and customer engagement by:\n\n- Saving Time: Automatically records customer and dish data without manual entry.\n\n- Personalizing Experience: AI suggests relevant dishes or combos to upsell or enhance the order.\n\n- Centralized Tracking: All order data is logged into Google Sheets for real-time access and analytics.\n\n- Instant Outreach: Sends dish suggestions directly to customers via Telegram within seconds.\n\n- Scalability: Easily handles multiple orders with AI-driven intelligence—ideal for growing restaurants.\n\n"
      },
      "typeVersion": 1
    }
  ],
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  "pinData": {},
  "settings": {
    "executionOrder": "v1"
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