{ "id": "o7Cj6FMfaXx3li9E", "meta": { "templateCredsSetupCompleted": true }, "name": "Supplier Consolidation Recommendation Workflow", "tags": [], "nodes": [ { "id": "23210f3a-8214-4b2f-9793-a219d361c998", "name": "Supplier Analysis Trigger", "type": "n8n-nodes-base.scheduleTrigger", "position": [ -448, -96 ], "parameters": { "rule": { "interval": [ { "field": "weeks", "triggerAtDay": [ 1 ], "triggerAtHour": 9 } ] } }, "typeVersion": 1.3 }, { "id": "7f314f03-00b0-4e70-8c78-09fc4b89e716", "name": "Fetch Supplier Data", "type": "n8n-nodes-base.googleSheets", "position": [ -240, -96 ], "parameters": { "options": {}, "sheetName": { "__rl": true, "mode": "list", "value": "gid=0", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1sRjC7JdVLukXBJTJXfz-4Pa8cLxOWwIkcRxQxaw5sfo/edit#gid=0", "cachedResultName": "Sheet1" }, "documentId": { "__rl": true, "mode": "list", "value": "1sRjC7JdVLukXBJTJXfz-4Pa8cLxOWwIkcRxQxaw5sfo", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1sRjC7JdVLukXBJTJXfz-4Pa8cLxOWwIkcRxQxaw5sfo/edit?usp=drivesdk", "cachedResultName": "supplier records" } }, "credentials": { "googleSheetsOAuth2Api": { "name": "" } }, "typeVersion": 4.7 }, { "id": "0b463ce5-8531-4d6f-b05b-f3e19bccc82a", "name": "Clean & Structure Supplier Data", "type": "n8n-nodes-base.set", "position": [ -32, -96 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "7b192d94-2a9d-4b5b-b623-0494116a4d8d", "name": "Name", "type": "string", "value": "={{ $json.Name }}" }, { "id": "6abe4c89-a4c3-4cae-a587-d24d4f96aeff", "name": "Department", "type": "string", "value": "={{ $json.Department }}" }, { "id": "51ca714e-b6b0-4a60-84a7-94a6b5b4279d", "name": "Category", "type": "string", "value": "={{ $json.Category }}" }, { "id": "8038adc3-fb66-47c2-bf70-4919d9a42296", "name": "Monthly_Spend", "type": "number", "value": "={{ $json.Monthly_Spend }}" }, { "id": "1c1c59e5-8ede-4eda-8753-84f74fd95bbe", "name": "Risk_Rating", "type": "string", "value": "={{ $json.Risk_Rating }}" }, { "id": "770b532b-da54-4a77-8afd-ce1388b04e76", "name": "Service_Criticality", "type": "string", "value": "={{ $json.Service_Criticality }}" }, { "id": "8bd49380-56ae-41bf-86c9-ad9217924309", "name": "Backup_Supplier_Available", "type": "string", "value": "={{ $json.Backup_Supplier_Available }}" }, { "id": "261a43f8-05f3-4dde-bcbc-d7dc9b7adc9c", "name": "Email", "type": "string", "value": "={{ $json.Email }}" } ] } }, "typeVersion": 3.4 }, { "id": "cfbd85ac-60c1-472a-8403-bd679ca156b5", "name": "Identify Overlaps & Calculate Savings", "type": "n8n-nodes-base.code", "position": [ 192, -96 ], "parameters": { "jsCode": "function normalize(name) {\n if (!name) return '';\n\n return name\n .toLowerCase()\n .replace(/\\b(pvt ltd|ltd|inc|technologies|tech)\\b/g, '')\n .replace(/[^\\w\\s]/g, '')\n .trim();\n}\n\nconst grouped = {};\n\nfor (const item of items) {\n const rawName = item.json.Name || '';\n const normalizedName = normalize(rawName);\n const department = item.json.Department || 'Unknown';\n const spend = Number(item.json.Monthly_Spend || 0);\n const email = item.json.Email || '';\n\n if (!normalizedName) continue;\n\n if (!grouped[normalizedName]) {\n grouped[normalizedName] = {\n supplier: rawName,\n departments: new Set(),\n emails: new Set(),\n total_spend: 0\n };\n }\n\n grouped[normalizedName].departments.add(department);\n\n if (email) {\n grouped[normalizedName].emails.add(email);\n }\n\n grouped[normalizedName].total_spend += spend;\n}\n\nconst result = [];\n\nfor (const key in grouped) {\n const data = grouped[key];\n const departmentCount = data.departments.size;\n const totalSpend = data.total_spend;\n\n if (departmentCount > 1) {\n let savingsPercent = 0;\n\n // Dynamic savings logic\n if (departmentCount >= 4 && totalSpend > 100000) {\n savingsPercent = 12;\n } else if (departmentCount >= 3 && totalSpend > 50000) {\n savingsPercent = 10;\n } else if (departmentCount >= 3) {\n savingsPercent = 8;\n } else if (departmentCount === 2 && totalSpend > 30000) {\n savingsPercent = 6;\n } else if (departmentCount === 2) {\n savingsPercent = 4;\n } else {\n savingsPercent = 2;\n }\n\n const savingsAmount = (totalSpend * savingsPercent) / 100;\n\n let opportunityLevel = 'Low';\n if (savingsPercent >= 10) {\n opportunityLevel = 'High';\n } else if (savingsPercent >= 5) {\n opportunityLevel = 'Medium';\n }\n\n result.push({\n json: {\n supplier: data.supplier,\n departments: [...data.departments].join(', '),\n email: [...data.emails].join(', '),\n department_count: departmentCount,\n total_spend: totalSpend,\n savings_percent: savingsPercent,\n savings_amount: savingsAmount,\n opportunity_level: opportunityLevel\n }\n });\n }\n}\n\nreturn result;" }, "typeVersion": 2 }, { "id": "c984b28b-7e02-4dff-84b5-d143282f5430", "name": "Evaluate Risk vs Savings", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 416, 96 ], "parameters": { "text": "=You are a procurement expert.\n\nAnalyze this supplier consolidation opportunity:\n\nSupplier: {{$json.supplier}}\nDepartments: {{$json.departments}}\nDepartment Count: {{$json.department_count}}\nTotal Spend: {{$json.total_spend}}\nSavings Percent: {{$json.savings_percent}}\nSavings Amount: {{$json.savings_amount}}\nOpportunity Level: {{$json.opportunity_level}}\n\nReturn ONLY raw JSON.\nDo not add markdown.\nDo not use code fences.\nDo not add any explanation before or after JSON.\n\nUse exactly this structure:\n{\n \"risk\": \"Low or Medium or High\",\n \"decision\": \"Recommended or Not Recommended\",\n \"recommendation\": \"short recommendation\",\n \"reason\": \"short explanation\"\n}", "options": {}, "promptType": "define" }, "typeVersion": 3.1 }, { "id": "c7091f4c-c1c2-4336-869a-dbc08e0a5576", "name": "Extract AI Insights", "type": "n8n-nodes-base.code", "position": [ 720, 96 ], "parameters": { "jsCode": "return items.map(item => {\n const raw = item.json.output || '{}';\n\n let parsed = {};\n\n try {\n parsed = JSON.parse(raw);\n } catch (error) {\n parsed = {\n risk: 'Unknown',\n decision: 'Error',\n recommendation: 'Parsing failed',\n reason: 'The AI response was not valid JSON'\n };\n }\n\n return {\n json: {\n ...item.json,\n risk: parsed.risk,\n decision: parsed.decision,\n recommendation: parsed.recommendation,\n reason: parsed.reason\n }\n };\n});" }, "typeVersion": 2 }, { "id": "b89186dd-037c-4eaa-907c-9bfd0362c7d6", "name": "Chat Model", "type": "@n8n/n8n-nodes-langchain.lmChatGroq", "position": [ 400, 288 ], "parameters": { "model": "openai/gpt-oss-120b", "options": {} }, "credentials": { "groqApi": { "name": "" } }, "typeVersion": 1 }, { "id": "d7884d4b-da1e-4b1f-8612-b58df584045d", "name": "Combine Supplier & AI Data", "type": "n8n-nodes-base.merge", "position": [ 976, -112 ], "parameters": { "mode": "combine", "options": {}, "combineBy": "combineByPosition" }, "typeVersion": 3.2 }, { "id": "b6c0ed69-a69b-4bcf-b48d-d2c09d3d2463", "name": "Prepare Final Recommendation", "type": "n8n-nodes-base.set", "position": [ 1184, -112 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "5eeb525f-560a-4997-8717-e2a51fea569c", "name": "Supplier", "type": "string", "value": "={{ $json.supplier }}" }, { "id": "51e7253b-d5cf-4e9e-8584-05b88c24ed5d", "name": "departments", "type": "string", "value": "={{ $json.departments }}" }, { "id": "57878f30-984b-4351-9a7d-2c582948d6a7", "name": "department_count", "type": "number", "value": "={{ $json.department_count }}" }, { "id": "88d3b5b6-3a32-475a-a156-4c3530c80280", "name": "total_spend", "type": "number", "value": "={{ $json.total_spend }}" }, { "id": "8e772d39-b286-4e9f-a03f-f303bd4461af", "name": "savings_percent", "type": "number", "value": "={{ $json.savings_percent }}" }, { "id": "ac1a69b9-b5d2-416e-84a5-d18cf38e378d", "name": "savings_amount", "type": "number", "value": "={{ $json.savings_amount }}" }, { "id": "fb18dbfb-15cc-4b39-b0c3-ce4749dcbfe8", "name": "risk", "type": "string", "value": "={{ $json.risk }}" }, { "id": "0f8f15c0-ac91-4226-b4ea-b9f187b47508", "name": "decision", "type": "string", "value": "={{ $json.decision }}" }, { "id": "044686a4-4220-44f6-b810-8ec322e21f81", "name": "recommendation", "type": "string", "value": "={{ $json.recommendation }}" }, { "id": "6b455ff4-3784-4cd8-9968-53f98057dc98", "name": "reason", "type": "string", "value": "={{ $json.reason }}" }, { "id": "5f3d80fb-7504-4531-bc9c-825c1018cd86", "name": "Email", "type": "string", "value": "={{$json.email}}" } ] } }, "typeVersion": 3.4 }, { "id": "ba3a8d47-cc77-48e6-8bfc-72812be74366", "name": "Send Slack Alert", "type": "n8n-nodes-base.slack", "position": [ 1472, -192 ], "parameters": { "text": "=Supplier Consolidation Recommendation \nSupplier: {{$json.Supplier}} \nDepartments: {{ $json.departments }} \nDepartment Count: {{ $json.department_count }} \nTotal Spend: {{ $json.total_spend }}\nSavings Percent: {{ $json.savings_percent }}\nSavings Amount: {{ $json.savings_amount }}\nRisk: {{ $json.risk }}\nDecision:{{ $json.decision }}\nRecommendation: {{ $json.recommendation }}\nReason: {{ $json.reason }}", "select": "channel", "channelId": { "__rl": true, "mode": "list", "value": "C0ATE2C0ZTN", "cachedResultName": "supplier-insights" }, "otherOptions": {} }, "credentials": { "slackApi": { "name": "" } }, "typeVersion": 2.4 }, { "id": "69785bcd-cb7c-4c1c-83ed-fa10b0ef8052", "name": "Send Email Report", "type": "n8n-nodes-base.gmail", "position": [ 1472, 16 ], "parameters": { "sendTo": "={{ $json.Email }}", "message": "=
\n

Supplier Consolidation Recommendation

\n\n

Supplier: {{$json.Supplier}}

\n

Departments: {{$json.departments}}

\n

Department Count: {{$json.department_count}}

\n\n
\n\n

Total Spend: {{$json.total_spend}}

\n

Savings Percent: {{$json.savings_percent}}%

\n

Savings Amount: {{$json.savings_amount}}

\n\n
\n\n

Risk Level: {{$json.risk}}

\n

Decision: {{$json.decision}}

\n\n

Recommendation:
{{$json.recommendation}}

\n\n

Reason:
{{$json.reason}}

\n\n
\n\n

Regards,
Procurement Automation System

\n
", "options": { "appendAttribution": false }, "subject": "=Supplier Consolidation Recommendation - {{$json.Supplier}}" }, "credentials": { "gmailOAuth2": { "name": "" } }, "typeVersion": 2.2 }, { "id": "342c2e14-4477-415d-a0a4-eb0b7dee8542", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ -960, -368 ], "parameters": { "width": 384, "height": 800, "content": "# Supplier Consolidation Recommendation \n\n# How it works:\n\nThis workflow identifies overlapping suppliers, estimates savings, and uses AI to evaluate risk versus savings before generating recommendations. Final insights are shared via email and Slack for quick decision-making.\n\n# Setup Steps:\n1. Scheduled Trigger\nRun workflow weekly.\n\n2. Data Collection\nFetch supplier data from Google Sheets.\n\n3. Overlap & Savings Detection\nIdentify shared suppliers and calculate savings.\n\n4. AI Analysis\nEvaluate risk vs savings.\n\n5. Data Processing\nCombine and format results.\n\n6. Output & Notification\nSend email and Slack alerts.\n" }, "typeVersion": 1 }, { "id": "f6629d33-19c6-412e-b444-78760658b58b", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ -544, -288 ], "parameters": { "color": 7, "width": 656, "height": 416, "content": "## Supplier Data Collection & Preparation\n\nTrigger the workflow on schedule, fetch supplier records from Google Sheets, and clean/structure key fields like department, spend, and email to prepare data for analysis." }, "typeVersion": 1 }, { "id": "0f71abc3-a9bf-4912-af1d-7bfeb642e1ba", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ 144, -288 ], "parameters": { "color": 7, "width": 720, "height": 688, "content": "\n## Supplier Analysis & AI Insights\n\nIdentify overlapping suppliers across departments and calculate potential savings. Use AI to evaluate risk versus savings and extract structured insights for decision-making." }, "typeVersion": 1 }, { "id": "2f12fc66-4376-4f10-9225-070412ccf133", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [ 896, -288 ], "parameters": { "color": 7, "width": 816, "height": 672, "content": "## Final Recommendation & Notifications\nCombine supplier and AI data, format the final recommendation, and send insights to stakeholders via Slack alerts and dynamic email reports for quick action." }, "typeVersion": 1 } ], "active": false, "settings": { "availableInMCP": false, "executionOrder": "v1" }, "versionId": "006398fa-b4ba-441f-afa7-58c8f2fd27ed", "connections": { "Chat Model": { "ai_languageModel": [ [ { "node": "Evaluate Risk vs Savings", "type": "ai_languageModel", "index": 0 } ] ] }, "Extract AI Insights": { "main": [ [ { "node": "Combine Supplier & AI Data", "type": "main", "index": 1 } ] ] }, "Fetch Supplier Data": { "main": [ [ { "node": "Clean & Structure Supplier Data", "type": "main", "index": 0 } ] ] }, "Evaluate Risk vs Savings": { "main": [ [ { "node": "Extract AI Insights", "type": "main", "index": 0 } ] ] }, "Supplier Analysis Trigger": { "main": [ [ { "node": "Fetch Supplier Data", "type": "main", "index": 0 } ] ] }, "Combine Supplier & AI Data": { "main": [ [ { "node": "Prepare Final Recommendation", "type": "main", "index": 0 } ] ] }, "Prepare Final Recommendation": { "main": [ [ { "node": "Send Slack Alert", "type": "main", "index": 0 }, { "node": "Send Email Report", "type": "main", "index": 0 } ] ] }, "Clean & Structure Supplier Data": { "main": [ [ { "node": "Identify Overlaps & Calculate Savings", "type": "main", "index": 0 } ] ] }, "Identify Overlaps & Calculate Savings": { "main": [ [ { "node": "Evaluate Risk vs Savings", "type": "main", "index": 0 }, { "node": "Combine Supplier & AI Data", "type": "main", "index": 0 } ] ] } } }