🚀 Support client WhatsApp piloté par IA pour les marques Shopify
Ceci est unMiscellaneous, AI Chatbot, Multimodal AIworkflow d'automatisation du domainecontenant 30 nœuds.Utilise principalement des nœuds comme Set, Slack, Switch, WhatsApp, HttpRequest. Support client WhatsApp piloté par l'IA pour les marques Shopify (agent LLM)
- •Token Bot Slack ou URL Webhook
- •Peut nécessiter les informations d'identification d'authentification de l'API cible
- •Clé API OpenAI
Nœuds utilisés (30)
Catégorie
{
"id": "T34FGUZ2HaXkfEGA",
"meta": {
"instanceId": "54982cbe9f8132ea9a4a7e9e8f355b9eb6ea3f69d2ba679cde0f482c65ee4fcb"
},
"name": "🚀 AI-Powered WhatsApp Customer Support for Shopify Brands",
"tags": [],
"nodes": [
{
"id": "396cc334-cabd-4647-b625-c6d861b59c67",
"name": "WhatsApp Trigger",
"type": "n8n-nodes-base.whatsAppTrigger",
"position": [
-1776,
880
],
"webhookId": "7067eade-3bdd-45f7-a2dc-9de896f32504",
"parameters": {
"options": {},
"updates": [
"messages"
]
},
"credentials": {
"whatsAppTriggerApi": {
"id": "0a9ZTj0w0kP1Xoyj",
"name": "Le WhatsApp OAuth account"
}
},
"typeVersion": 1
},
{
"id": "8cc9d281-f641-45da-a241-9da9a0b9886c",
"name": "Commutateur",
"type": "n8n-nodes-base.switch",
"position": [
-800,
848
],
"parameters": {
"rules": {
"values": [
{
"outputKey": "WelcomeMsg",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "3f5d0aa4-8e80-41f4-84fd-f2f8e53cb1b2",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.categorized }}",
"rightValue": "Starter"
}
]
},
"renameOutput": true
},
{
"outputKey": "OrderStatusQuery",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "778cb6a5-51e4-4255-8459-640670c9fd25",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.categorized }}",
"rightValue": "Order status"
}
]
},
"renameOutput": true
},
{
"outputKey": "ProductsQuery",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "0a306950-ee2c-46fb-9b96-1942e4ef5c7e",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.categorized }}",
"rightValue": "Products"
}
]
},
"renameOutput": true
},
{
"outputKey": "SupportQuery",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "615cd80c-dcaa-498e-8cd3-3eeecc9995d8",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.categorized }}",
"rightValue": "Support"
}
]
},
"renameOutput": true
}
]
},
"options": {
"fallbackOutput": 3
}
},
"typeVersion": 3.2
},
{
"id": "07e36edb-644a-4abd-a8d6-318d80edfe3c",
"name": "Simple Mémoire",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
-272,
544
],
"parameters": {
"sessionKey": "={{ $json.messages[0].text.body }}",
"sessionIdType": "customKey"
},
"typeVersion": 1.3
},
{
"id": "0c00ac3c-4ce8-4c9f-b52c-4e09ffa33e21",
"name": "OpenRouter Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter",
"position": [
-528,
544
],
"parameters": {
"model": "deepseek/deepseek-chat-v3.1:free",
"options": {}
},
"credentials": {
"openRouterApi": {
"id": "FPjvfEkMxPLT3f99",
"name": "OpenRouter account"
}
},
"typeVersion": 1
},
{
"id": "5c14f15c-020d-4529-bed2-6b63cdad94a9",
"name": "Get Products from Shopify",
"type": "n8n-nodes-base.httpRequestTool",
"position": [
-224,
1136
],
"parameters": {
"url": "https://<YourStore>.myshopify.com/admin/api/2025-07/products.json",
"options": {},
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth"
},
"credentials": {
"httpHeaderAuth": {
"id": "mU8IG8Eu0HocNIzv",
"name": "Shopify Header Access token"
}
},
"typeVersion": 4.2
},
{
"id": "f0005249-2e1b-4d2f-8423-b754e4152d9f",
"name": "Normalize Input",
"type": "n8n-nodes-base.set",
"position": [
-1024,
880
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "4f012685-2724-42f6-a86e-72bf7ea300d2",
"name": "=normalized",
"type": "string",
"value": "{{|const raw = $json.body || $json.text || \"\";const normalized = raw .toLowerCase() .trim() .replace(/[^\\w\\s#]/g, \"\"); // keep #, remove other punctuationreturn [{ original: raw, normalized: normalized}];}}"
},
{
"id": "b320a461-bc21-43aa-bf55-d1dd583b447d",
"name": "messages[0].text.body",
"type": "string",
"value": "={{ $('WhatsApp Trigger').item.json.messages[0].text.body.toLowerCase().trim().replace(/[^\\w\\s#]/g, '') }}"
},
{
"id": "de55950f-a124-4af2-a8b1-ff2e3a0fcac4",
"name": "categorized",
"type": "string",
"value": "={{ \n(() => {\n const msg = ( $('WhatsApp Trigger').item.json.messages[0].text.body.toLowerCase().trim().replace(/[^\\w\\s#]/g, '')|| \"\").trim();\n const low = msg.toLowerCase();\n\n // Regex patterns\n const rePriority = /\\b(not\\s+(?:acceptable|happy|satisfied|working)|angry|frustrat(?:ed|ing)|disappoint(?:ed|ing)|complain(?:t|ing)?|escalate|fed\\s*up|ridiculous|worst|cheat(?:ed)?|fake|scam|delay(?:ed)?|late|still\\s+haven'?t\\s+received|no\\s+update|i\\s+don'?t\\s+believe|unacceptable|3\\+?\\s*weeks|weeks?\\s*(?:now|and\\s*no\\s*update))\\b|[\\?\\!]{2,}/i;\n const reRefund = /\\b(refund(?:ed|s)?|refund\\s*status|refund\\s*not\\s*(?:received|got)|return(?:s|ing)?|exchange|replacement|replace|cancel(?:led|ation)?|cancel\\s*(?:my\\s*)?order|return\\s*policy|refund\\s*policy|rto\\s*refund|money\\s*back)\\b/i;\n const reOrder = /\\b(where\\s+is\\s+my\\s+order|order\\s*status|status\\s+of|dispatc?h(?:ed)?|shipp(?:ed|ing)?|delivery|deliver(?:ed)?\\s*(?:date|eta)?|track(?:ing)?\\s*(?:id|no\\.?|number|details)?|awb|courier|out\\s*for\\s*delivery|when\\s+can\\s+i\\s+expect|eta|tracking\\s*id|tracking\\s*no\\.?|tracking\\s*number)\\b/i;\n const reProducts = /\\b(product(?:s)?|available|availability|catalog|collection|inventory|in\\s*stock|restock|size(?:s)?|size\\s*chart|color|colour|colors|colours|variant(?:s)?|price|pricing|cost|mrp|new\\s*arrivals?|latest)\\b/i;\n const reStarter = /^(?:\\s*(hi|hello|hey|hola|namaste|yo|sup|greetings|gm|good\\s*morning|good\\s*afternoon|good\\s*evening|gn)\\b|👋)\\s*[!.?]*$/i;\n\n // Priority order\n if (reOrder.test(msg)) return \"Order status\";\n if (reProducts.test(msg)) return \"Products\";\n if (reStarter.test(msg) && msg.length < 40) return \"Starter\";\n return \"Support\";\n})()\n}}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "3d1b7f86-9821-488f-b6bd-aaf38b241f37",
"name": "Orders Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
-416,
256
],
"parameters": {
"text": "={{ $('WhatsApp Trigger').item.json.messages[0].text.body }}",
"options": {
"systemMessage": "=You are a helpful assistant\n\nYou are a WhatsApp Customer Support Agent for an e-commerce store. Your task is to read the customer’s query, classify it into one of the categories below, and reply accordingly.\n\n- **OrderStatus** → Queries related to order tracking, delivery status, shipping, delays, etc. \n **Action**:When http request returns, fetch the status from response[0].orders.orders[0].fulfillments.fulfillments[0].shipment_status \nand tracking_url from response[0].tracking_url.\n **Response format**: \n ```\n Your order is currently in <status>. \n You can track it here: https://odrtrk.live/trk/<tracking_url>\n ```\n If order is not found: \n ```\n I couldn’t find your order. Could you please share your order ID?\n ```\n\n\n### Rules\n1.Do not invent data. If order data is not found, respond with: \n ```\n I couldn’t find your order. Could you please share your order ID?\n ``` "
},
"promptType": "define",
"needsFallback": true,
"hasOutputParser": true
},
"typeVersion": 2.2
},
{
"id": "f9d42ea8-c632-4864-9f21-0d919f28ee2a",
"name": "Products Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
-416,
912
],
"parameters": {
"text": "={{ $json.messages[0].text.body }}",
"options": {
"systemMessage": "=ROLE\nYou are a WhatsApp Product Availability Agent for a Shopify store. Your job is to answer product availability questions by calling the “Get Products from Shopify” tool, filtering results, and replying with a concise list of products and their in-stock sizes.\n\nTOOLS YOU CAN USE\n- Get Products from Shopify → returns an array of products with fields like:\n id, title, handle, status, tags, variants[], images[], updated_at\n Each variant has: option1 (Size), option2 (Color), price, inventory_quantity, inventory_management, status implied by product, etc.\n\nPOLICIES (MUST FOLLOW)\n1) Only consider products where product.status == \"active\".\n2) For each product, only show sizes (variants) where inventory_quantity > 0.\n - Treat variant.option1 as the Size. (Example: \"XXL\")\n - If multiple colors exist and the user asks for a color, filter variants by that color (option2). Otherwise, ignore color in the final list unless it helps clarity.\n3) Do not show sold-out variants (inventory_quantity <= 0) and do not mention sizes with zero inventory.\n4) If the customer asks for “best seller” or “top rated”:\n - Use tags to identify them.\n - BEST SELLER tags include: [\"best-seller\",\"bestseller\",\"best_seller\"]\n - TOP RATED tags include: [\"top-rated\",\"top_rated\",\"toprated\"]\n - If the user asks for “new” or “new arrivals”, use tags like [\"new\",\"new-drop\",\"new_arrival\",\"new_arrivals\"].\n - If both are requested, prioritize best seller first, then top rated.\n5) If the user asks for a specific product name, search case-insensitively within product.title or handle and show only that product’s in-stock sizes.\n6) Never invent data, prices, or links. Only use what the tool returns.\n7) Keep responses WhatsApp-friendly, scannable, and brief (max ~6 items). If more exist, say “and more…”.\n8) If nothing matches or all matching sizes are out of stock, say it’s currently out of stock and offer to show alternatives.\n9) Call the “Get Products from Shopify” tool at most once per user message. Do all filtering and formatting locally.\n\nOUTPUT FORMAT (STRICT)\n- Start with a one-line summary tailored to the query.\n- Then a bulleted list. For each product, print:\n • {Product Title}\n • Sizes in stock: {SIZE1} ({QTY1}), {SIZE2} ({QTY2}) …\n- If the user asked “best seller” or “top rated”, add a short label after the title, e.g., “(Best Seller)” or “(Top Rated)”.\n- If a single product was requested, you may return just that product’s line.\n\nALGORITHM (WHEN YOU REPLY)\n1) Parse the user’s intent:\n - Specific product name? (e.g., “Aurora”, “Do you have AURORA in XXL?”)\n - Category/interest? (e.g., “best sellers”, “top rated”, “new arrivals”)\n - Optional color/size hints (e.g., “Ash Black”, “XXL”).\n2) Call “Get Products from Shopify”.\n3) Filter to product.status == \"active\".\n4) If a product name/handle was mentioned, keep only those products (case-insensitive substring match).\n5) If “best sellers” or “top rated” were requested, filter by tags per policy.\n6) For each remaining product:\n - Collect variants where inventory_quantity > 0.\n - Group by Size (variant.option1). For each size, report the total inventory_quantity (or the variant’s quantity if one variant per size).\n - If no sizes remain after filtering, exclude that product from the list.\n7) Sort:\n - If user asked best sellers → list best-seller tagged products first.\n - If top rated → list top-rated tagged products first.\n - Otherwise sort by most recently updated (descending) or by title ASC if no updated_at.\n8) Do not show products that are out of stock or no inventory for all its sizes\n9) Compose the WhatsApp reply using the OUTPUT FORMAT.\n\nEXAMPLES (FOLLOW EXACTLY THE FORMAT)\nUser: Do you have Aurora in XXL?\nReply:\nHere’s what I found:\n• AURORA\n• Sizes in stock: XXL (9)\n\nUser: Show me best sellers in stock\nReply:\nOur best sellers available now:\n• AURORA (Best Seller)\n• Sizes in stock: XXL (9)\n(and more…)\n\nUser: What are your top rated hoodies?\nReply:\nTop rated items in stock:\n• AURORA (Top Rated)\n• Sizes in stock: XXL (9)\n\nUser: What sizes are available for Aurora?\nReply:\nAvailable sizes for AURORA:\n• Sizes in stock: XXL (9)\n\nNOTES ON DATA FIELDS\n- Size is variant.option1.\n- Color is variant.option2 (use only if user mentions color).\n- Only show a product if it has at least one variant with inventory_quantity > 0.\n- Ignore non-active product statuses completely.\n\nIf at any step there is uncertainty, default to the safest truthful response (e.g., “no active stock found for that item; want me to show similar items available now?”) without inventing details."
},
"promptType": "define",
"needsFallback": true,
"hasOutputParser": true
},
"typeVersion": 2.2
},
{
"id": "c502f75d-cad0-42f7-8d10-bdf782e84d36",
"name": "Get Customer from Shopify",
"type": "n8n-nodes-base.httpRequest",
"position": [
-1472,
880
],
"parameters": {
"url": "https://<YourStore>.myshopify.com/admin/api/2025-07/customers/search.json",
"options": {},
"sendQuery": true,
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"queryParameters": {
"parameters": [
{
"name": "query",
"value": "=phone:{{ $json.contacts[0].wa_id }}"
}
]
}
},
"credentials": {
"httpHeaderAuth": {
"id": "mU8IG8Eu0HocNIzv",
"name": "Shopify Header Access token"
}
},
"typeVersion": 4.2
},
{
"id": "0da409a0-4e94-41b4-b5f6-dc8b6ee54e8f",
"name": "Customer Details",
"type": "n8n-nodes-base.set",
"position": [
-1248,
880
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "b320a461-bc21-43aa-bf55-d1dd583b447d",
"name": "customerID",
"type": "string",
"value": "={{ $json.customers[0].id }}"
},
{
"id": "352358ab-778a-4ada-af03-1374ca1361ca",
"name": "customerName",
"type": "string",
"value": "={{ $json.customers[0].first_name }} {{ $json.customers[0].last_name }}"
},
{
"id": "2268cc38-f580-4b33-b3cf-23f187df2fb4",
"name": "lastOrderID",
"type": "string",
"value": "={{ $json.customers[0].last_order_id }}"
},
{
"id": "c3155a8e-6ca7-4a32-9dc6-35f2e5d42402",
"name": "CustomerPhone",
"type": "string",
"value": "={{ $('WhatsApp Trigger').item.json.contacts[0].wa_id }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "c9eeb7fe-162c-43da-b9c7-e353a2458df6",
"name": "Get Customer Orders",
"type": "n8n-nodes-base.httpRequestTool",
"position": [
-128,
544
],
"parameters": {
"url": "=https://<YourStore>.myshopify.com/admin/api/2025-07/customers/{{ $('Customer Details').item.json.customerID }}/orders.json",
"options": {
"redirect": {
"redirect": {
"followRedirects": false
}
}
},
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth"
},
"credentials": {
"httpHeaderAuth": {
"id": "mU8IG8Eu0HocNIzv",
"name": "Shopify Header Access token"
}
},
"typeVersion": 4.2
},
{
"id": "0d8eddf9-adcb-45e7-af25-0ae972e9f928",
"name": "Structured Output Parser",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
0,
544
],
"parameters": {
"jsonSchemaExample": "{\n\t\"status\": \"fulfilled\",\n\t\"tracking_url\": \"/123254\"\n}"
},
"typeVersion": 1.3
},
{
"id": "b4b475fb-e3d0-4a95-9120-2b5ff9f4abfa",
"name": "Structured Output Parser1",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
-64,
1136
],
"parameters": {
"jsonSchemaExample": "[\n {\n\t\"productName\": \"Product Name\",\n\t\"sizes\": \"XXXS (4) XXS (17) XS (29) S (102)\"\n }\n]"
},
"typeVersion": 1.3
},
{
"id": "a4aa7f20-2ef5-436a-835a-d0b8e2ad212e",
"name": "Modèle de chat OpenAI",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
-400,
544
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "Ilwgv4g8yJyaTaa4",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "78867e2c-05f6-4685-9cd8-edd7af5fd015",
"name": "Send a message to support",
"type": "n8n-nodes-base.slack",
"position": [
-320,
1312
],
"webhookId": "57b871c4-ab71-427c-9e15-17dadc02f384",
"parameters": {
"text": "={{ $('WhatsApp Trigger').item.json.messages[0].text.body }}",
"select": "channel",
"channelId": {
"__rl": true,
"mode": "list",
"value": "C09DP0XJ961",
"cachedResultName": "customer-support"
},
"otherOptions": {
"sendAsUser": "={{ $('Customer Details').item.json.customerName }}",
"includeLinkToWorkflow": false
}
},
"credentials": {
"slackApi": {
"id": "9jU2ksKc08rLTFLT",
"name": "Slack account"
}
},
"typeVersion": 2.3
},
{
"id": "87eef063-0bc0-4ba1-ba61-660f511e32e3",
"name": "Aucune opération, do nothing",
"type": "n8n-nodes-base.noOp",
"position": [
-64,
1312
],
"parameters": {},
"typeVersion": 1
},
{
"id": "1d14573b-ca33-4a59-9a0e-fda3d93e996f",
"name": "Welcome message",
"type": "n8n-nodes-base.whatsApp",
"position": [
-384,
48
],
"webhookId": "7bc228a2-1954-4451-96a0-012b8a71c27d",
"parameters": {
"textBody": "=Hello {{ $('Customer Details').item.json.customerName }}! Welcome. How can I assist you today?",
"operation": "send",
"phoneNumberId": "792860653905890",
"additionalFields": {},
"recipientPhoneNumber": "={{ $('WhatsApp Trigger').item.json.contacts[0].wa_id}}"
},
"credentials": {
"whatsAppApi": {
"id": "zJEUtyOU44mPb74x",
"name": "Le WhatsApp System token"
}
},
"typeVersion": 1
},
{
"id": "edce7929-b3e4-40c1-85c4-b8e9e523ecb0",
"name": "Send Order Status",
"type": "n8n-nodes-base.whatsApp",
"position": [
80,
256
],
"webhookId": "fbe3da88-8ba1-48a0-8563-f857684ce519",
"parameters": {
"textBody": "={{ \n \"Hi \" + ($('Customer Details').item.json.customerName || \"there\") + \",\\n\" +\n \"I’ve checked your order and it is currently \" + \n $json[\"output\"][\"status\"].replace(/_/g, \" \") + \" 🚚.\\n\" +\n \"You can follow its journey anytime using this link: \" + \n $json[\"output\"][\"tracking_url\"] + \".\\n\" +\n \"Thank you for your patience — your package is on the way! 💙\"\n}}\n",
"operation": "send",
"phoneNumberId": "792860653905890",
"additionalFields": {},
"recipientPhoneNumber": "={{ $('WhatsApp Trigger').item.json.contacts[0].wa_id}}"
},
"credentials": {
"whatsAppApi": {
"id": "zJEUtyOU44mPb74x",
"name": "Le WhatsApp System token"
}
},
"typeVersion": 1
},
{
"id": "eb8c54b5-ad12-401e-a3c2-a2f2d0ee7f6c",
"name": "Send Products message",
"type": "n8n-nodes-base.whatsApp",
"position": [
176,
912
],
"webhookId": "fbe3da88-8ba1-48a0-8563-f857684ce519",
"parameters": {
"textBody": "={{\n(() => {\n const products = ($node[\"Products Agent\"].json.output || []);\n\n const lines = products.map(p => {\n // sizes can be an array OR a comma-separated string; normalize to array\n const arr = Array.isArray(p.sizes)\n ? p.sizes\n : (typeof p.sizes === 'string'\n ? p.sizes.split(',').map(s => s.trim()).filter(Boolean)\n : []);\n\n const sizesText = arr.length ? \"Sizes: \" + arr.join(\", \") : \"❌ Currently out of stock\";\n return \"✨ \" + p.productName + \"\\n\" + sizesText;\n });\n\n return \"👋 Hey there!\\nHere are our latest available pieces:\\n\\n\"\n + lines.join(\"\\n\\n\");\n})()\n}}",
"operation": "send",
"phoneNumberId": "792860653905890",
"additionalFields": {},
"recipientPhoneNumber": "={{ $('WhatsApp Trigger').item.json.contacts[0].wa_id}}"
},
"credentials": {
"whatsAppApi": {
"id": "zJEUtyOU44mPb74x",
"name": "Le WhatsApp System token"
}
},
"typeVersion": 1
},
{
"id": "2345427f-6889-4832-865d-3b836e4aa1b8",
"name": "Aucune opération, do nothing1",
"type": "n8n-nodes-base.noOp",
"position": [
400,
912
],
"parameters": {},
"typeVersion": 1
},
{
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"content": "**Get Customer details from shopify** retrieves user information based on their WhatsApp number.\nIt fetches profile and order-related data from Shopify to identify the customer.\nThe details are then normalized to ensure consistent formatting for downstream workflow steps."
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"content": "**Normalize Input** ensures user queries are cleaned, standardized, and free of noise. \nIt also categorizes the input, preparing it for accurate intent detection in the next step. \n"
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"content": "### Welcome whatsapp message\n\n"
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"content": "### Order status whatsapp message\n\n"
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"content": "### Products Info whatsapp message\n\n"
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"content": "### Slack message to Customer support\n\n"
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"content": "**WhatsApp Trigger** listens for incoming customer messages on WhatsApp. \nIt captures the text, sender ID, and metadata to initiate the workflow. \nThis ensures every query received on WhatsApp is processed in real time. \n"
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"content": "# 🚀 Try It Out!\n\nThis n8n template demonstrates how to build an **AI-powered WhatsApp & Shopify Support Copilot**. \nIt integrates **WhatsApp Business API**, **Shopify API**, and **LLM Agents** to handle order status queries, product lookups, and customer support escalation.\n\n**Use cases**: Automate order tracking, respond with real-time product availability, or escalate complex issues to a Slack support channel.\n\n---\n\n## How it works\n- **Trigger**: A WhatsApp webhook activates on every new customer message. \n- **Customer Lookup**: Fetches details from Shopify using the customer’s WhatsApp number. \n- **Input Normalization**: Cleans and categorizes user queries. \n- **Intent Switch**: Routes requests to Order Agent, Product Agent, or Support. \n- **Orders Agent**: Retrieves latest Shopify order data, parses, and sends status via WhatsApp. \n- **Products Agent**: Pulls inventory & best sellers from Shopify and replies with sizes/availability. \n- **Support Escalation**: Posts unresolved queries to Slack for human intervention.\n\n---\n\n## How to use\n- Configure **WhatsApp Business API**, **Shopify Admin API**, and **Slack OAuth** credentials in n8n. \n- Sync products via Shopify API. \n- Test with queries like “Where is my order?” or “Show me best sellers.” \n- Escalate unresolved issues directly to Slack with context.\n\n---\n\n## Requirements\n- WhatsApp Business API (Meta, Twilio, or Exotel) \n- Shopify Admin API access \n- LLM provider key (OpenAI / OpenRouter) \n- Slack OAuth or webhook for human support \n\n---\n\n💡 Always open to feedback and improvements! **DM me at [info@zenithworks.ai](mailto:info@zenithworks.ai).**\n"
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}Comment utiliser ce workflow ?
Copiez le code de configuration JSON ci-dessus, créez un nouveau workflow dans votre instance n8n et sélectionnez "Importer depuis le JSON", collez la configuration et modifiez les paramètres d'authentification selon vos besoins.
Dans quelles scénarios ce workflow est-il adapté ?
Avancé - Divers, Chatbot IA, IA Multimodale
Est-ce payant ?
Ce workflow est entièrement gratuit et peut être utilisé directement. Veuillez noter que les services tiers utilisés dans le workflow (comme l'API OpenAI) peuvent nécessiter un paiement de votre part.
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Ruthwik
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