{ "id": "I7d4x1yTzFgp0Eib", "meta": { "templateCredsSetupCompleted": true }, "name": "Smart Inventory Replenishment & Auto-Purchase Orders", "tags": [], "nodes": [ { "id": "2557c5cc-2ee8-4241-ad2c-0e600d5923ed", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "notes": "=\ud83d\udccb WORKFLOW START\n\nThis workflow monitors inventory levels and automatically:\n1. Checks warehouse stock\n2. Analyzes sales velocity\n3. Forecasts demand using AI\n4. Creates purchase orders\n5. Sends POs to suppliers\n6. Logs everything in ERP\n\nConfigure your API credentials in each node!", "position": [ -224, -160 ], "parameters": { "width": 176, "height": 736, "content": "**\"\ud83d\udd50 SCHEDULE TRIGGER Runs every 6 hours to check inventory levels\nYou can adjust the interval:\n- Change 'hoursInterval' to run more less frequently Use 'minutes' for faster testing This triggers the entire workflow automatically\"** to edit me. " }, "notesInFlow": false, "typeVersion": 1 }, { "id": "ce149860-0f98-4be6-8fcc-fa7c6faf5b7d", "name": "Fetch Current Inventory", "type": "n8n-nodes-base.httpRequest", "notes": "\ud83d\udce6 FETCH INVENTORY DATA\n\nRetrieves current stock levels from warehouse system\n\nTO CONFIGURE:\n1. Replace URL with your warehouse API endpoint\n2. Update Authorization token in headers\n3. Adjust method if needed (GET/POST)\n\nExpected Response Format:\n[\n {\n \"product_id\": \"SKU123\",\n \"product_name\": \"Product A\",\n \"current_stock\": 50,\n \"reorder_point\": 20,\n \"supplier_id\": \"SUP001\"\n }\n]", "position": [ 64, 384 ], "parameters": { "url": "https://your-warehouse-api.com/api/inventory", "options": {}, "sendHeaders": true, "headerParameters": { "parameters": [ { "name": "Authorization", "value": "Bearer YOUR_TOKEN_HERE" } ] } }, "notesInFlow": true, "typeVersion": 4.2 }, { "id": "ecd3f434-b692-46d0-a9cc-ce98288a7e03", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "notes": "=\ud83d\udcca DATA COLLECTION PHASE\n\nGathering inventory & sales data from multiple sources\nBoth streams run in parallel for efficiency", "position": [ 0, -176 ], "parameters": { "width": 176, "height": 736, "content": "**=\ud83d\udccb WORKFLOW START\nThis workflow monitors inventory levels and automatically:\n1. Checks warehouse stock\n2. Analyzes sales velocity\n3. Forecasts demand using AI\n4. Creates purchase orders\n5. Sends POs to suppliers\n6. Logs everything in ERP\n\nConfigure your API credentials in each node!\"** " }, "notesInFlow": false, "typeVersion": 1 }, { "id": "faea64a7-28e5-4c09-acf1-cee765122357", "name": "Fetch Sales Velocity", "type": "n8n-nodes-base.httpRequest", "notes": "\ud83d\udcca FETCH SALES VELOCITY\n\nRetrieves sales data for the last 30 days\n\nTO CONFIGURE:\n1. Replace URL with your sales API endpoint\n2. Update Authorization token\n3. Adjust 'days' parameter (30, 60, 90)\n\nExpected Response Format:\n[\n {\n \"product_id\": \"SKU123\",\n \"units_sold_30days\": 150,\n \"avg_daily_sales\": 5,\n \"trend\": \"increasing\"\n }\n]", "position": [ 288, 384 ], "parameters": { "url": "https://your-sales-api.com/api/sales/velocity", "options": {}, "sendQuery": true, "sendHeaders": true, "queryParameters": { "parameters": [ { "name": "days", "value": "30" } ] }, "headerParameters": { "parameters": [ { "name": "Authorization", "value": "Bearer YOUR_TOKEN_HERE" } ] } }, "notesInFlow": true, "typeVersion": 4.2 }, { "id": "4b00a73b-410c-48f1-bbb4-e8877477457f", "name": "Merge Inventory & Sales Data", "type": "n8n-nodes-base.code", "notes": "\ud83d\udd17 MERGE DATA\n\nCombines inventory and sales data into single dataset\n\nThis code:\n1. Takes inventory data from first input\n2. Takes sales data from second input\n3. Matches products by product_id\n4. Creates unified data structure\n\nNO CONFIGURATION NEEDED\nThis node automatically processes the data", "position": [ 512, 384 ], "parameters": { "jsCode": "// Merge inventory and sales data\nconst inventoryData = $input.first().json;\nconst salesData = $input.last().json;\n\n// Create a map of sales data by product_id\nconst salesMap = {};\nif (Array.isArray(salesData)) {\n salesData.forEach(sale => {\n salesMap[sale.product_id] = sale;\n });\n} else {\n salesMap[salesData.product_id] = salesData;\n}\n\n// Merge data\nconst mergedData = [];\nconst inventory = Array.isArray(inventoryData) ? inventoryData : [inventoryData];\n\ninventory.forEach(item => {\n const salesInfo = salesMap[item.product_id] || {\n units_sold_30days: 0,\n avg_daily_sales: 0,\n trend: 'stable'\n };\n \n mergedData.push({\n product_id: item.product_id,\n product_name: item.product_name,\n current_stock: item.current_stock,\n reorder_point: item.reorder_point,\n supplier_id: item.supplier_id,\n units_sold_30days: salesInfo.units_sold_30days,\n avg_daily_sales: salesInfo.avg_daily_sales,\n trend: salesInfo.trend,\n unit_cost: item.unit_cost || 0,\n lead_time_days: item.lead_time_days || 7\n });\n});\n\nreturn mergedData.map(item => ({ json: item }));" }, "notesInFlow": true, "typeVersion": 2 }, { "id": "a4a81ad5-6880-4b7f-adfe-29c7b84b1943", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "notes": "=\ud83e\udd16 AI ANALYSIS PHASE\n\nAI analyzes merged data to forecast demand and recommend reorder quantities\nMakes intelligent decisions based on trends and patterns", "position": [ 224, -96 ], "parameters": { "width": 208, "height": 640, "content": "**\"\ud83d\udce6 FETCH INVENTORY DATA\n\nRetrieves current stock levels from warehouse system\n\nTO CONFIGURE:\n.1 Replace URL with your warehouse API endpoint\n2. Update Authorization token in headers\n3. Adjust method if needed (GET/POST)\n\n" }, "notesInFlow": false, "typeVersion": 1 }, { "id": "d76075f4-34bc-41f6-b4ac-4948d49f1725", "name": "AI Demand Forecasting", "type": "@n8n/n8n-nodes-langchain.openAi", "notes": "\ud83e\udd16 AI DEMAND FORECASTING\n\nUses OpenAI GPT-4 to analyze data and forecast demand\n\nTO CONFIGURE:\n1. Add OpenAI API credentials in n8n\n2. Select model (gpt-4 or gpt-4-turbo)\n3. Temperature is set to 0.3 for consistent results\n\nThe AI considers:\n- Current stock levels\n- Sales velocity\n- Trends (increasing/decreasing)\n- Lead times\n- Reorder points\n\nOutputs recommendations in JSON format", "position": [ 736, 384 ], "parameters": { "resource": "__CUSTOM_API_CALL__" }, "credentials": { "openAiApi": { "name": "" } }, "notesInFlow": true, "typeVersion": 1.3 }, { "id": "dd60d6d1-584f-40c8-9dc0-662bfb07e003", "name": "Parse AI Response", "type": "n8n-nodes-base.code", "notes": "\ud83d\udd0d PARSE AI RESPONSE\n\nExtracts and structures the AI forecast data\n\nThis code:\n1. Parses JSON from AI response\n2. Handles parsing errors gracefully\n3. Combines forecast with original data\n4. Prepares data for filtering\n\nNO CONFIGURATION NEEDED", "position": [ 944, 384 ], "parameters": { "jsCode": "// Parse AI response and prepare data for filtering\nconst item = $input.first().json;\n\nlet aiResponse;\ntry {\n // Try to parse the AI response\n const content = item.message?.content || item.content || '{}';\n aiResponse = typeof content === 'string' ? JSON.parse(content) : content;\n} catch (error) {\n // If parsing fails, use defaults\n aiResponse = {\n should_reorder: false,\n recommended_quantity: 0,\n days_until_stockout: 999,\n forecasted_demand_30days: 0,\n confidence_level: 'low',\n reasoning: 'Failed to parse AI response'\n };\n}\n\n// Combine original data with AI forecast\nconst result = {\n ...item,\n ai_forecast: aiResponse,\n should_reorder: aiResponse.should_reorder,\n recommended_quantity: aiResponse.recommended_quantity,\n days_until_stockout: aiResponse.days_until_stockout,\n forecasted_demand_30days: aiResponse.forecasted_demand_30days,\n confidence_level: aiResponse.confidence_level,\n reasoning: aiResponse.reasoning\n};\n\nreturn { json: result };" }, "notesInFlow": true, "typeVersion": 2 }, { "id": "6ebb7486-72d7-4b24-bd1a-d009304ef851", "name": "Filter: Reorder Needed", "type": "n8n-nodes-base.filter", "notes": "\ud83c\udfaf FILTER: REORDER NEEDED\n\nOnly passes items where AI recommends reordering\n\nCondition: should_reorder === true\n\nItems that pass continue to PO creation\nItems that fail are logged but no action taken\n\nNO CONFIGURATION NEEDED\nFilter is already set up correctly", "position": [ 1168, 384 ], "parameters": { "options": {}, "conditions": { "boolean": [ { "value1": "={{ $json.should_reorder }}", "value2": true } ] } }, "notesInFlow": true, "typeVersion": 2 }, { "id": "1e1b1a6d-dcf1-4432-acbb-9e659a33f4c6", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "notes": "=\ud83d\udcdd PURCHASE ORDER CREATION\n\nGenerating and submitting purchase orders\nAutomatically sends to suppliers and logs in systems", "position": [ 1776, -320 ], "parameters": { "width": 192, "height": 880, "content": "**\"\ud83d\udcbe LOG TO ERP SYSTEM\\n\\nRecords complete PO in your ERP system\\n\\nTO CONFIGURE:\\n1. Replace URL with your ERP API endpoint\\n (SAP, Oracle, NetSuite, etc.)\\n2. Update Authorization credentials\\n3. Adjust body format for your ERP\\n\\nCommon ERP Systems:\\n- SAP Business One: /api/PurchaseOrders\\n- Oracle NetSuite: /services/rest/record/v1/purchaseOrder\\n- Odoo: /api/v2/purchase.order\\n- Microsoft Dynamics: /api/data/v9.0/purchaseorders\\n\\nLogs complete PO including forecast data\"**" }, "notesInFlow": false, "typeVersion": 1 }, { "id": "4553aed7-261c-4616-bc96-10fdda53aba8", "name": "Create Purchase Order", "type": "n8n-nodes-base.code", "notes": "\ud83d\udcdd CREATE PURCHASE ORDER\n\nGenerates complete PO document\n\nThis code:\n1. Creates unique PO number with timestamp\n2. Calculates costs (quantity \u00d7 unit cost)\n3. Sets delivery date based on lead time\n4. Includes all forecast data\n5. Adds AI reasoning as notes\n\nPO includes:\n- PO number, dates, supplier info\n- Product details and quantities\n- Cost calculations\n- Forecast confidence data\n\nNO CONFIGURATION NEEDED", "position": [ 1392, 384 ], "parameters": { "jsCode": "// Generate Purchase Order\nconst items = $input.all();\n\nconst purchaseOrders = items.map((item, index) => {\n const data = item.json;\n \n // Generate unique PO number\n const poNumber = `PO-${Date.now()}-${String(index + 1).padStart(3, '0')}`;\n \n // Calculate order details\n const quantity = data.recommended_quantity;\n const unitCost = data.unit_cost || 0;\n const totalCost = quantity * unitCost;\n \n // Create purchase order\n const purchaseOrder = {\n po_number: poNumber,\n product_id: data.product_id,\n product_name: data.product_name,\n supplier_id: data.supplier_id,\n quantity: quantity,\n unit_cost: unitCost,\n total_cost: totalCost,\n currency: 'USD',\n order_date: new Date().toISOString(),\n expected_delivery: new Date(Date.now() + (data.lead_time_days * 24 * 60 * 60 * 1000)).toISOString(),\n status: 'pending',\n created_by: 'AI_System',\n notes: data.reasoning,\n forecast_data: {\n current_stock: data.current_stock,\n days_until_stockout: data.days_until_stockout,\n forecasted_demand_30days: data.forecasted_demand_30days,\n confidence_level: data.confidence_level\n }\n };\n \n return { json: purchaseOrder };\n});\n\nreturn purchaseOrders;" }, "notesInFlow": true, "typeVersion": 2 }, { "id": "8da308d4-0f2a-4ccc-844d-52476596d2f7", "name": "Send PO to Supplier", "type": "n8n-nodes-base.httpRequest", "notes": "\ud83d\udce4 SEND TO SUPPLIER\n\nSends purchase order to supplier's system via API\n\nTO CONFIGURE:\n1. Replace URL with supplier API endpoint\n2. Update Authorization token\n3. Adjust body parameters to match supplier's format\n\nThis can also be configured to:\n- Send email instead of API call\n- Generate PDF and attach\n- Use multiple supplier endpoints\n\nExpected Response:\n{\n \"status\": \"success\",\n \"po_id\": \"SUP-PO-12345\",\n \"confirmation\": \"Order received\"\n}", "position": [ 1616, 384 ], "parameters": { "url": "https://your-supplier-api.com/api/purchase-orders", "method": "POST", "options": {}, "sendBody": true, "sendHeaders": true, "bodyParameters": { "parameters": [ { "name": "po_number", "value": "={{ $json.po_number }}" }, { "name": "supplier_id", "value": "={{ $json.supplier_id }}" }, { "name": "product_id", "value": "={{ $json.product_id }}" }, { "name": "quantity", "value": "={{ $json.quantity }}" }, { "name": "total_cost", "value": "={{ $json.total_cost }}" }, { "name": "expected_delivery", "value": "={{ $json.expected_delivery }}" } ] }, "headerParameters": { "parameters": [ { "name": "Authorization", "value": "Bearer YOUR_TOKEN_HERE" }, { "name": "Content-Type", "value": "application/json" } ] } }, "notesInFlow": true, "typeVersion": 4.2 }, { "id": "ec290c72-159c-4511-8d3e-8235c417d69b", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "notes": "=\ud83d\udcbe LOGGING & NOTIFICATION\n\nRecording all transactions in ERP and database\nSending notifications to procurement team", "position": [ 2000, -512 ], "parameters": { "width": 176, "height": 1040, "content": "**\"\ud83d\uddc4\ufe0f SAVE TO DATABASE\\n\\nStores PO record in your database\\n\\nTO CONFIGURE:\\n1. Add database credentials in n8n\\n (PostgreSQL, MySQL, etc.)\\n2. Adjust table name if different\\n3. Modify columns to match your schema\\n\\nDatabase Table Schema:\\nCREATE TABLE purchase_orders (\\n id SERIAL PRIMARY KEY,\\n po_number VARCHAR(50),\\n product_id VARCHAR(50),\\n product_name VARCHAR(255),\\n supplier_id VARCHAR(50),\\n quantity INT,\\n unit_cost DECIMAL(10,2),\\n total_cost DECIMAL(10,2),\\n order_date TIMESTAMP,\\n expected_delivery TIMESTAMP,\\n status VARCHAR(20),\\n created_by VARCHAR(50),\\n notes TEXT,\\n forecast_confidence VARCHAR(20),\\n days_until_stockout INT,\\n created_at TIMESTAMP DEFAULT NOW()\\n);\"** " }, "notesInFlow": false, "typeVersion": 1 }, { "id": "66f9adca-d97d-4834-a0ac-bd8c0073b6e6", "name": "Log to ERP System", "type": "n8n-nodes-base.httpRequest", "notes": "\ud83d\udcbe LOG TO ERP SYSTEM\n\nRecords complete PO in your ERP system\n\nTO CONFIGURE:\n1. Replace URL with your ERP API endpoint\n (SAP, Oracle, NetSuite, etc.)\n2. Update Authorization credentials\n3. Adjust body format for your ERP\n\nCommon ERP Systems:\n- SAP Business One: /api/PurchaseOrders\n- Oracle NetSuite: /services/rest/record/v1/purchaseOrder\n- Odoo: /api/v2/purchase.order\n- Microsoft Dynamics: /api/data/v9.0/purchaseorders\n\nLogs complete PO including forecast data", "position": [ 1824, 384 ], "parameters": { "url": "https://your-erp-system.com/api/purchase-orders", "method": "POST", "options": {}, "sendBody": true, "contentType": "raw", "sendHeaders": true, "headerParameters": { "parameters": [ { "name": "Authorization", "value": "Bearer YOUR_TOKEN_HERE" }, { "name": "Content-Type", "value": "application/json" } ] } }, "notesInFlow": true, "typeVersion": 4.2 }, { "id": "bd21610c-e51a-4fce-ab50-7461e373eb1d", "name": "Save to Database", "type": "n8n-nodes-base.postgres", "notes": "\ud83d\uddc4\ufe0f SAVE TO DATABASE\n\nStores PO record in your database\n\nTO CONFIGURE:\n1. Add database credentials in n8n\n (PostgreSQL, MySQL, etc.)\n2. Adjust table name if different\n3. Modify columns to match your schema\n\nDatabase Table Schema:\nCREATE TABLE purchase_orders (\n id SERIAL PRIMARY KEY,\n po_number VARCHAR(50),\n product_id VARCHAR(50),\n product_name VARCHAR(255),\n supplier_id VARCHAR(50),\n quantity INT,\n unit_cost DECIMAL(10,2),\n total_cost DECIMAL(10,2),\n order_date TIMESTAMP,\n expected_delivery TIMESTAMP,\n status VARCHAR(20),\n created_by VARCHAR(50),\n notes TEXT,\n forecast_confidence VARCHAR(20),\n days_until_stockout INT,\n created_at TIMESTAMP DEFAULT NOW()\n);", "position": [ 2048, 384 ], "parameters": { "query": "INSERT INTO purchase_orders (\n po_number, product_id, product_name, supplier_id,\n quantity, unit_cost, total_cost, order_date,\n expected_delivery, status, created_by, notes,\n forecast_confidence, days_until_stockout\n) VALUES (\n '{{ $json.po_number }}',\n '{{ $json.product_id }}',\n '{{ $json.product_name }}',\n '{{ $json.supplier_id }}',\n {{ $json.quantity }},\n {{ $json.unit_cost }},\n {{ $json.total_cost }},\n '{{ $json.order_date }}',\n '{{ $json.expected_delivery }}',\n '{{ $json.status }}',\n '{{ $json.created_by }}',\n '{{ $json.notes }}',\n '{{ $json.forecast_data.confidence_level }}',\n {{ $json.forecast_data.days_until_stockout }}\n);", "options": {}, "operation": "executeQuery" }, "credentials": { "postgres": { "name": "" } }, "notesInFlow": true, "typeVersion": 2.4 }, { "id": "a5f8ada1-934f-4d3f-8ded-7fa252ff4b1f", "name": "Send Notification Email", "type": "n8n-nodes-base.emailSend", "notes": "\ud83d\udce7 SEND NOTIFICATION\n\nSends email notification about created PO\n\nTO CONFIGURE:\n1. Add SMTP credentials in n8n Settings\n2. Set recipient email address\n3. Customize email template if needed\n\nSMTP Settings:\n- Host: smtp.gmail.com (for Gmail)\n- Port: 587 (TLS) or 465 (SSL)\n- Username: your-email@gmail.com\n- Password: your-app-password\n\nEmail includes:\n- PO details\n- Cost information\n- AI forecast data\n- Reasoning for order", "position": [ 2272, 384 ], "parameters": { "options": {}, "subject": "New Purchase Order Created: {{ $json.po_number }}", "toEmail": "user@example.com", "fromEmail": "user@example.com" }, "credentials": { "smtp": { "name": "" } }, "notesInFlow": true, "typeVersion": 2.1 }, { "id": "b913e503-8d3f-41df-a077-31d23a25d123", "name": "Sticky Note5", "type": "n8n-nodes-base.stickyNote", "notes": "=\u2705 WORKFLOW COMPLETE\n\nThe automated inventory management cycle is finished!\nThe workflow will run again in 6 hours.\n\nMonitor execution logs to track:\n- Number of POs created\n- Total spending\n- AI forecast accuracy\n- System errors or issues", "position": [ 2224, -320 ], "parameters": { "height": 864, "content": "**\ud83d\udce7 SEND NOTIFICATION\\n\\nSends email notification about created PO\\n\\nTO CONFIGURE:\\n1. Add SMTP credentials in n8n Settings\\n2. Set recipient email address\\n3. Customize email template if needed\\n\\nSMTP Settings:\\n- Host: smtp.gmail.com (for Gmail)\\n- Port: 587 (TLS) or 465 (SSL)\\n- Username: your-email@gmail.com\\n- Password: your-app-password\\n\\nEmail includes:\\n- PO details\\n- Cost information\\n- AI forecast data\\n- Reasoning for order\"** " }, "notesInFlow": false, "typeVersion": 1 }, { "id": "2e6af9a9-6c12-4a76-a464-dc62d28df0dd", "name": "Schedule Trigger", "type": "n8n-nodes-base.scheduleTrigger", "notes": "\ud83d\udd50 SCHEDULE TRIGGER\n\nRuns every 6 hours to check inventory levels\n\nYou can adjust the interval:\n- Change 'hoursInterval' to run more/less frequently\n- Use 'minutes' for faster testing\n\nThis triggers the entire workflow automatically", "position": [ -144, 384 ], "parameters": { "rule": { "interval": [ { "field": "hours", "hoursInterval": 6 } ] } }, "notesInFlow": true, "typeVersion": 1.2 }, { "id": "2d8144d0-9217-41ba-a88a-717f7e1b04bd", "name": "Sticky Note7", "type": "n8n-nodes-base.stickyNote", "position": [ 1552, -144 ], "parameters": { "width": 208, "height": 720, "content": "**\"\ud83d\udce4 SEND TO SUPPLIER\\n\\nSends purchase order to supplier's system via API\\n\\nTO CONFIGURE:\\n1. Replace URL with supplier API endpoint\\n2. Update Authorization token\\n3. Adjust body parameters to match supplier's format\\n\\nThis can also be configured to:\\n- Send email instead of API call\\n- Generate PDF and attach\\n- Use multiple supplier endpoints\\n\\nExpected Response:\\n{\\n \\\"status\\\": \\\"success\\\",\\n \\\"po_id\\\": \\\"SUP-PO-12345\\\",\\n \\\"confirmation\\\": \\\"Order received\\\"\\n}\"**" }, "typeVersion": 1 }, { "id": "f36301eb-44bb-47d4-88e4-2cf81a7862e8", "name": "Sticky Note8", "type": "n8n-nodes-base.stickyNote", "position": [ 1328, -96 ], "parameters": { "width": 208, "height": 672, "content": "**\"\ud83d\udcdd CREATE PURCHASE ORDER\\n\\nGenerates complete PO document\\n\\nThis code:\\n1. Creates unique PO number with timestamp\\n2. Calculates costs (quantity \u00d7 unit cost)\\n3. Sets delivery date based on lead time\\n4. Includes all forecast data\\n5. Adds AI reasoning as notes\\n\\nPO includes:\\n- PO number, dates, supplier info\\n- Product details and quantities\\n- Cost calculations\\n- Forecast confidence data\\n\\nNO CONFIGURATION NEEDED\"**" }, "typeVersion": 1 }, { "id": "0437128d-5f64-4d49-8959-13dc61063aa5", "name": "Sticky Note6", "type": "n8n-nodes-base.stickyNote", "position": [ 1104, 32 ], "parameters": { "width": 208, "height": 496, "content": "**\"\ud83c\udfaf FILTER: REORDER NEEDED\\n\\nOnly passes items where AI recommends reordering\\n\\nCondition: should_reorder === true\\n\\nItems that pass continue to PO creation\\nItems that fail are logged but no action taken\\n\\nNO CONFIGURATION NEEDED\\nFilter is already set up correctly\"** " }, "typeVersion": 1 }, { "id": "8d7b14bd-8b60-427d-8f6e-07ddc65c4f0f", "name": "Sticky Note9", "type": "n8n-nodes-base.stickyNote", "position": [ 896, 0 ], "parameters": { "width": 192, "height": 528, "content": "**\"\ud83d\udd0d PARSE AI RESPONSE\\n\\nExtracts and structures the AI forecast data\\n\\nThis code:\\n1. Parses JSON from AI response\\n2. Handles parsing errors gracefully\\n3. Combines forecast with original data\\n4. Prepares data for filtering\\n\\nNO CONFIGURATION NEEDED\"**" }, "typeVersion": 1 }, { "id": "3bc777c7-7bf4-4b9c-8f2b-842a8bb5abed", "name": "Sticky Note10", "type": "n8n-nodes-base.stickyNote", "position": [ 688, -80 ], "parameters": { "width": 176, "height": 640, "content": "**\"\ud83e\udd16 AI DEMAND FORECASTING\\n\\nUses OpenAI GPT-4 to analyze data and forecast demand\\n\\nTO CONFIGURE:\\n1. Add OpenAI API credentials in n8n\\n2. Select model (gpt-4 or gpt-4-turbo)\\n3. Temperature is set to 0.3 for consistent results\\n\\nThe AI considers:\\n- Current stock levels\\n- Sales velocity\\n- Trends (increasing/decreasing)\\n- Lead times\\n- Reorder points\\n\\nOutputs recommendations in JSON format\"** " }, "typeVersion": 1 }, { "id": "36d7a838-5302-486f-867f-f1c07fb08465", "name": "Sticky Note11", "type": "n8n-nodes-base.stickyNote", "position": [ 480, -96 ], "parameters": { "width": 160, "height": 672, "content": "*\"\ud83d\udd17 MERGE DATA\\n\\nCombines inventory and sales data into single dataset\\n\\nThis code:\\n1. Takes inventory data from first input\\n2. Takes sales data from second input\\n3. Matches products by product_id\\n4. Creates unified data structure\\n\\nNO CONFIGURATION NEEDED\\nThis node automatically processes the data\"** " }, "typeVersion": 1 } ], "active": false, "settings": { "executionOrder": "v1" }, "versionId": "779815b0-7a62-4b80-b984-f7ca3a2be22d", "connections": { "Save to Database": { "main": [ [ { "node": "Send Notification Email", "type": "main", "index": 0 } ] ] }, "Schedule Trigger": { "main": [ [ { "node": "Fetch Current Inventory", "type": "main", "index": 0 } ] ] }, "Log to ERP System": { "main": [ [ { "node": "Save to Database", "type": "main", "index": 0 } ] ] }, "Parse AI Response": { "main": [ [ { "node": "Filter: Reorder Needed", "type": "main", "index": 0 } ] ] }, "Send PO to Supplier": { "main": [ [ { "node": "Log to ERP System", "type": "main", "index": 0 } ] ] }, "AI Demand Forecasting": { "main": [ [ { "node": "Parse AI Response", "type": "main", "index": 0 } ] ] }, "Create Purchase Order": { "main": [ [ { "node": "Send PO to Supplier", "type": "main", "index": 0 } ] ] }, "Filter: Reorder Needed": { "main": [ [ { "node": "Create Purchase Order", "type": "main", "index": 0 } ] ] }, "Fetch Current Inventory": { "main": [ [ { "node": "Fetch Sales Velocity", "type": "main", "index": 0 }, { "node": "Merge Inventory & Sales Data", "type": "main", "index": 0 } ] ] }, "Merge Inventory & Sales Data": { "main": [ [ { "node": "AI Demand Forecasting", "type": "main", "index": 0 } ] ] } } }