{ "id": "wOBVDQjh99n0BuRm", "meta": { "templateCredsSetupCompleted": true }, "name": "Track Ingredient Price Trends & Get Smart Buying Suggestions via API, Database & Slack", "tags": [], "nodes": [ { "id": "192d198b-cdfe-4356-a0f3-173f0ec4d5c5", "name": "Daily Price Check", "type": "n8n-nodes-base.cron", "position": [ 0, 100 ], "parameters": {}, "typeVersion": 1 }, { "id": "c97114c9-4e78-4e13-94a2-1b4442b1e8da", "name": "Fetch API Prices", "type": "n8n-nodes-base.httpRequest", "position": [ 220, 0 ], "parameters": { "url": "https://api.example-food-prices.com/ingredients", "options": {} }, "typeVersion": 4.1 }, { "id": "a55e9aa2-4641-4f39-9e8c-e6b6498df4d3", "name": "Store Price Data", "type": "n8n-nodes-base.postgres", "position": [ 440, 100 ], "parameters": { "table": "price_history", "schema": { "__rl": true, "mode": "list", "value": "public" }, "columns": { "0": "i", "1": "n", "2": "g", "3": "r", "4": "e", "5": "d", "6": "i", "7": "e", "8": "n", "9": "t", "10": ",", "11": " ", "12": "p", "13": "r", "14": "i", "15": "c", "16": "e", "17": ",", "18": " ", "19": "u", "20": "n", "21": "i", "22": "t", "23": ",", "24": " ", "25": "s", "26": "u", "27": "p", "28": "p", "29": "l", "30": "i", "31": "e", "32": "r", "33": ",", "34": " ", "35": "t", "36": "i", "37": "m", "38": "e", "39": "s", "40": "t", "41": "a", "42": "m", "43": "p", "44": ",", "45": " ", "46": "c", "47": "r", "48": "e", "49": "a", "50": "t", "51": "e", "52": "d", "53": "_", "54": "a", "55": "t", "value": {}, "schema": [], "mappingMode": "autoMapInputData", "matchingColumns": [], "attemptToConvertTypes": false, "convertFieldsToString": false }, "options": {} }, "credentials": { "postgres": { "name": "" } }, "typeVersion": 2.4 }, { "id": "448ff71f-7fee-40d8-a733-0f3d426cd8a2", "name": "Calculate Trends", "type": "n8n-nodes-base.postgres", "position": [ 660, 100 ], "parameters": { "query": "WITH price_trends AS (\n SELECT \n ingredient,\n price,\n timestamp,\n LAG(price) OVER (PARTITION BY ingredient ORDER BY timestamp) as prev_price,\n LAG(timestamp) OVER (PARTITION BY ingredient ORDER BY timestamp) as prev_timestamp\n FROM price_history\n WHERE timestamp >= NOW() - INTERVAL '30 days'\n)\nSELECT \n ingredient,\n price as current_price,\n prev_price,\n CASE \n WHEN prev_price IS NULL THEN 0\n ELSE ((price - prev_price) / prev_price) * 100\n END as price_change_percent,\n timestamp,\n CASE \n WHEN price < prev_price THEN 'DECREASING'\n WHEN price > prev_price THEN 'INCREASING'\n ELSE 'STABLE'\n END as trend\nFROM price_trends\nWHERE prev_price IS NOT NULL\nORDER BY ingredient, timestamp DESC;", "options": {}, "operation": "executeQuery" }, "credentials": { "postgres": { "name": "" } }, "typeVersion": 2.4 }, { "id": "61a33bca-5a1b-4525-b15a-67493c313613", "name": "Generate Recommendations", "type": "n8n-nodes-base.code", "position": [ 880, 100 ], "parameters": { "jsCode": "// Analyze trends and generate buying recommendations\nconst items = $input.all();\nconst recommendations = [];\n\nfor (const item of items) {\n const data = item.json;\n let recommendation = {\n ingredient: data.ingredient,\n current_price: data.current_price,\n price_change_percent: data.price_change_percent,\n trend: data.trend,\n recommendation: '',\n urgency: '',\n reason: ''\n };\n \n // Generate recommendations based on price trends\n if (data.price_change_percent < -10) {\n recommendation.recommendation = 'BUY NOW';\n recommendation.urgency = 'HIGH';\n recommendation.reason = `Price dropped by ${Math.abs(data.price_change_percent).toFixed(1)}% - excellent buying opportunity`;\n } else if (data.price_change_percent < -5) {\n recommendation.recommendation = 'CONSIDER BUYING';\n recommendation.urgency = 'MEDIUM';\n recommendation.reason = `Price decreased by ${Math.abs(data.price_change_percent).toFixed(1)}% - good time to stock up`;\n } else if (data.price_change_percent > 15) {\n recommendation.recommendation = 'AVOID BUYING';\n recommendation.urgency = 'HIGH';\n recommendation.reason = `Price increased by ${data.price_change_percent.toFixed(1)}% - wait for better prices`;\n } else if (data.price_change_percent > 5) {\n recommendation.recommendation = 'WAIT';\n recommendation.urgency = 'MEDIUM';\n recommendation.reason = `Price increased by ${data.price_change_percent.toFixed(1)}% - consider delaying purchase`;\n } else {\n recommendation.recommendation = 'MONITOR';\n recommendation.urgency = 'LOW';\n recommendation.reason = 'Price stable - normal purchasing timing';\n }\n \n recommendations.push(recommendation);\n}\n\nreturn recommendations.map(rec => ({ json: rec }));" }, "typeVersion": 2 }, { "id": "c1d236c2-059c-48da-a767-bb4d18772c05", "name": "Store Recommendations", "type": "n8n-nodes-base.postgres", "position": [ 1100, 100 ], "parameters": { "table": "buying_recommendations", "schema": { "__rl": true, "mode": "list", "value": "public" }, "columns": { "0": "i", "1": "n", "2": "g", "3": "r", "4": "e", "5": "d", "6": "i", "7": "e", "8": "n", "9": "t", "10": ",", "11": " ", "12": "c", "13": "u", "14": "r", "15": "r", "16": "e", "17": "n", "18": "t", "19": "_", "20": "p", "21": "r", "22": "i", "23": "c", "24": "e", "25": ",", "26": " ", "27": "p", "28": "r", "29": "i", "30": "c", "31": "e", "32": "_", "33": "c", "34": "h", "35": "a", "36": "n", "37": "g", "38": "e", "39": "_", "40": "p", "41": "e", "42": "r", "43": "c", "44": "e", "45": "n", "46": "t", "47": ",", "48": " ", "49": "t", "50": "r", "51": "e", "52": "n", "53": "d", "54": ",", "55": " ", "56": "r", "57": "e", "58": "c", "59": "o", "60": "m", "61": "m", "62": "e", "63": "n", "64": "d", "65": "a", "66": "t", "67": "i", "68": "o", "69": "n", "70": ",", "71": " ", "72": "u", "73": "r", "74": "g", "75": "e", "76": "n", "77": "c", "78": "y", "79": ",", "80": " ", "81": "r", "82": "e", "83": "a", "84": "s", "85": "o", "86": "n", "87": ",", "88": " ", "89": "g", "90": "e", "91": "n", "92": "e", "93": "r", "94": "a", "95": "t", "96": "e", "97": "d", "98": "_", "99": "a", "100": "t", "value": {}, "schema": [], "mappingMode": "autoMapInputData", "matchingColumns": [], "attemptToConvertTypes": false, "convertFieldsToString": false }, "options": {} }, "credentials": { "postgres": { "name": "" } }, "typeVersion": 2.4 }, { "id": "298a4e63-584c-472a-af2b-320cc5278529", "name": "Get Dashboard Data", "type": "n8n-nodes-base.postgres", "position": [ 1320, 100 ], "parameters": { "query": "SELECT \n ingredient,\n current_price,\n price_change_percent,\n trend,\n recommendation,\n urgency,\n reason,\n generated_at\nFROM buying_recommendations \nWHERE generated_at >= CURRENT_DATE\nORDER BY \n CASE urgency \n WHEN 'HIGH' THEN 1 \n WHEN 'MEDIUM' THEN 2 \n WHEN 'LOW' THEN 3 \n END,\n price_change_percent ASC;", "options": {}, "operation": "executeQuery" }, "credentials": { "postgres": { "name": "" } }, "typeVersion": 2.4 }, { "id": "656ed3fc-386b-4fb1-b34e-a558ad8a3edf", "name": "Generate Dashboard HTML", "type": "n8n-nodes-base.code", "position": [ 1540, 100 ], "parameters": { "jsCode": "// Create HTML dashboard\nconst items = $input.all();\nconst data = items.map(item => item.json);\n\nconst html = `\n\n\n\n Price Fluctuation Dashboard\n \n\n\n
\n
\n

\ud83c\udf7d\ufe0f Price Fluctuation Dashboard

\n

Food Industry Ingredient Price Monitoring & Buying Recommendations

\n

Last Updated: ${new Date().toLocaleString()}

\n
\n \n
\n
\n

${data.filter(d => d.urgency === 'HIGH').length}

\n

High Priority Items

\n
\n
\n

${data.filter(d => d.recommendation === 'BUY NOW').length}

\n

Buy Now Opportunities

\n
\n
\n

${data.filter(d => d.trend === 'DECREASING').length}

\n

Decreasing Prices

\n
\n
\n

${data.filter(d => d.trend === 'INCREASING').length}

\n

Increasing Prices

\n
\n
\n \n
\n ${data.map(item => `\n
\n
\n
\n

${item.ingredient}

\n

\n ${item.recommendation}\n

\n
\n
\n
Current Price: $${item.current_price}
\n
\n ${item.price_change_percent > 0 ? '+' : ''}${item.price_change_percent.toFixed(1)}%\n
\n
Trend: ${item.trend}
\n
\n
\n
\n Reason: ${item.reason}\n
\n
\n Urgency: ${item.urgency}\n
\n
\n `).join('')}\n
\n
\n\n\n`;\n\nreturn [{ json: { html: html } }];" }, "typeVersion": 2 }, { "id": "804a042f-f37f-426e-8f0f-334b8358a34e", "name": "Send Email Report", "type": "n8n-nodes-base.emailSend", "position": [ 1760, 0 ], "parameters": { "options": { "attachments": "data:text/html;base64,{{ $json.html | base64 }}" }, "subject": "Daily Price Fluctuation Report - {{ $now.format('YYYY-MM-DD') }}", "toEmail": "user@example.com", "fromEmail": "user@example.com" }, "credentials": { "smtp": { "name": "" } }, "typeVersion": 2.1 }, { "id": "357cc9b4-9d9c-4e25-b5b4-8cf9c233e2ed", "name": "Send Slack Alert", "type": "n8n-nodes-base.httpRequest", "position": [ 1760, 200 ], "parameters": { "url": "https://hooks.slack.com/services/YOUR/SLACK/WEBHOOK", "options": {}, "sendBody": true, "bodyParameters": { "parameters": [ { "name": "text", "value": "\ud83c\udf7d\ufe0f Daily Price Update: {{ $('Get Dashboard Data').all().filter(item => item.json.urgency === 'HIGH').length }} high priority items need attention!" }, { "name": "attachments", "value": "={{ $('Get Dashboard Data').all().filter(item => item.json.urgency === 'HIGH').map(item => ({ color: item.json.recommendation === 'BUY NOW' ? 'good' : 'danger', fields: [{ title: item.json.ingredient, value: `${item.json.recommendation} - ${item.json.reason}`, short: false }] })) }}" } ] } }, "typeVersion": 4.1 }, { "id": "5aef607f-be87-4792-a423-e17cc4410e02", "name": "Setup Database", "type": "n8n-nodes-base.postgres", "position": [ 220, 200 ], "parameters": { "query": "CREATE TABLE IF NOT EXISTS price_history (\n id SERIAL PRIMARY KEY,\n ingredient VARCHAR(100) NOT NULL,\n price DECIMAL(10,2) NOT NULL,\n unit VARCHAR(50) NOT NULL,\n supplier VARCHAR(100),\n timestamp TIMESTAMP NOT NULL,\n created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP\n);\n\nCREATE TABLE IF NOT EXISTS buying_recommendations (\n id SERIAL PRIMARY KEY,\n ingredient VARCHAR(100) NOT NULL,\n current_price DECIMAL(10,2) NOT NULL,\n price_change_percent DECIMAL(5,2),\n trend VARCHAR(20),\n recommendation VARCHAR(50),\n urgency VARCHAR(20),\n reason TEXT,\n generated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP\n);\n\nCREATE INDEX IF NOT EXISTS idx_price_history_ingredient_timestamp ON price_history(ingredient, timestamp);\nCREATE INDEX IF NOT EXISTS idx_recommendations_generated_at ON buying_recommendations(generated_at);", "options": {}, "operation": "executeQuery" }, "credentials": { "postgres": { "name": "" } }, "typeVersion": 2.4 }, { "id": "d84be769-2983-45a2-854c-d7bd972ecc36", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ 380, -560 ], "parameters": { "width": 1000, "height": 520, "content": "## \ud83d\udccc Workflow Overview: Price Fluctuation Dashboard\n\n- Daily Price Check \u2013 Triggers the workflow daily to monitor price changes.\n\n- Fetch API Prices \u2013 Retrieves the latest prices from an external API.\n\n- Setup Database \u2013 Ensures database tables are ready before inserting data.\n\n- Store Price Data \u2013 Saves current prices to the database for tracking.\n\n- Calculate Trends \u2013 Analyzes historical prices to detect patterns.\n\n- Generate Recommendations \u2013 Suggests actions based on price trends (e.g., buy/sell).\n\n- Store Recommendations \u2013 Saves recommendations for future reporting.\n\n- Get Dashboard Data \u2013 Gathers the necessary data for dashboard generation.\n\n- Generate Dashboard HTML \u2013 Builds an HTML dashboard to visualize insights.\n\n- Send Email Report \u2013 Emails the dashboard report to users.\n\n- Send Slack Alert \u2013 Sends key alerts or recommendations to Slack channels." }, "typeVersion": 1 } ], "active": false, "settings": { "executionOrder": "v1" }, "versionId": "38fb136e-f3ea-4656-91fd-ecd473469990", "connections": { "Setup Database": { "main": [ [ { "node": "Store Price Data", "type": "main", "index": 0 } ] ] }, "Calculate Trends": { "main": [ [ { "node": "Generate Recommendations", "type": "main", "index": 0 } ] ] }, "Fetch API Prices": { "main": [ [ { "node": "Store Price Data", "type": "main", "index": 0 } ] ] }, "Store Price Data": { "main": [ [ { "node": "Calculate Trends", "type": "main", "index": 0 } ] ] }, "Daily Price Check": { "main": [ [ { "node": "Fetch API Prices", "type": "main", "index": 0 }, { "node": "Setup Database", "type": "main", "index": 0 } ] ] }, "Get Dashboard Data": { "main": [ [ { "node": "Generate Dashboard HTML", "type": "main", "index": 0 } ] ] }, "Store Recommendations": { "main": [ [ { "node": "Get Dashboard Data", "type": "main", "index": 0 } ] ] }, "Generate Dashboard HTML": { "main": [ [ { "node": "Send Email Report", "type": "main", "index": 0 }, { "node": "Send Slack Alert", "type": "main", "index": 0 } ] ] }, "Generate Recommendations": { "main": [ [ { "node": "Store Recommendations", "type": "main", "index": 0 } ] ] } } }