基于Google表格的库存ABC与帕累托分析
高级
这是一个Miscellaneous, Multimodal AI领域的自动化工作流，包含 17 个节点。主要使用 If, Code, Filter, GoogleSheets, ManualTrigger 等节点。 基于Google表格的库存ABC与帕累托分析，用于供应链优化
前置要求
- •Google Sheets API 凭证
工作流预览
可视化展示节点连接关系，支持缩放和平移
导出工作流
复制以下 JSON 配置到 n8n 导入，即可使用此工作流
{
"meta": {
"instanceId": "",
"templateCredsSetupCompleted": true
},
"nodes": [
{
"id": "dd09796e-b4c4-43df-8401-bba895d330b3",
"name": "当点击\"执行工作流\"时",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-1056,
-400
],
"parameters": {},
"typeVersion": 1
},
{
"id": "5f502423-b87c-4322-aac6-10d07e685087",
"name": "获取表格中的行",
"type": "n8n-nodes-base.googleSheets",
"position": [
-832,
-400
],
"parameters": {
"options": {},
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "",
"cachedResultName": "Input Data"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "",
"cachedResultUrl": "",
"cachedResultName": "Data Analytics"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "",
"name": ""
}
},
"notesInFlow": true,
"typeVersion": 4.7
},
{
"id": "15e8b11a-83d9-41cb-84e4-dbfe0ddf970f",
"name": "过滤零销售额",
"type": "n8n-nodes-base.filter",
"position": [
-608,
-400
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "39ce1523-ed7e-404a-82db-099200bcb82c",
"operator": {
"type": "number",
"operation": "notEquals"
},
"leftValue": "={{ $json.QTY }}",
"rightValue": "={{ 0 }}"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "2cd9b9a0-dc4f-4d99-b4c4-43f6d165cad8",
"name": "转置",
"type": "n8n-nodes-base.code",
"position": [
-160,
-592
],
"parameters": {
"jsCode": "const input = $input.all().map(i => i.json);\n\n// Collect store IDs\nconst stores = input.map(row => row.STORE);\n// Collect items (from keys)\nconst items = Object.keys(input[0]).filter(k => k !== \"STORE\");\n\n// Transpose\nconst result = items.map(ITEM => {\n let row = { ITEM };\n for (const store of stores) {\n const storeRow = input.find(r => r.STORE === store);\n row[store] = storeRow[ITEM];\n }\n return { json: row };\n});\n\nreturn result;\n"
},
"typeVersion": 2
},
{
"id": "7bedeb08-f47e-4809-9936-7cdc8a9236d1",
"name": "每日单店销售额",
"type": "n8n-nodes-base.code",
"position": [
-384,
-304
],
"parameters": {
"jsCode": "const agg = {};\nfor (const {json} of items) {\n const k = `${json.STORE}|${json.DAY}`;\n if (!agg[k]) agg[k] = { STORE: json.STORE, DAY: json.DAY, QTY: 0, TO: 0 };\n agg[k].QTY += Number(json.QTY||0);\n agg[k].TO += Number(json.TO||0);\n}\nreturn Object.values(agg).map(r => ({ json: r }));"
},
"typeVersion": 2
},
{
"id": "b0134581-ef21-4485-bd75-8a5d7f865ad4",
"name": "如果",
"type": "n8n-nodes-base.if",
"position": [
-160,
-304
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "59bb6e5b-0765-4812-a842-19a3bc7a0357",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.STORE }}",
"rightValue": "STORE-1"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "95a2efc7-9c7b-4263-aab4-c00bbe902714",
"name": "门店1销售额",
"type": "n8n-nodes-base.googleSheets",
"position": [
64,
-400
],
"parameters": {
"columns": {
"value": {
"TO": "={{ $json.TO }}",
"DAY": "={{ $json.DAY }}",
"QTY": "={{ $json.QTY }}"
},
"schema": [
{
"id": "DAY",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "DAY",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "QTY",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "QTY",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "TO",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "TO",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "list",
"value": 421687347,
"cachedResultUrl": "",
"cachedResultName": "Daily Sales Store 1"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "",
"cachedResultUrl": "",
"cachedResultName": "Data Analytics"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "",
"name": ""
}
},
"notesInFlow": true,
"typeVersion": 4.7
},
{
"id": "fdffd98a-36ac-425b-861c-b3f738828fe2",
"name": "门店2销售额",
"type": "n8n-nodes-base.googleSheets",
"position": [
64,
-208
],
"parameters": {
"columns": {
"value": {
"TO": "={{ $json.TO }}",
"DAY": "={{ $json.DAY }}",
"QTY": "={{ $json.QTY }}"
},
"schema": [
{
"id": "DAY",
"type": "string",
"display": true,
"required": false,
"displayName": "DAY",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "QTY",
"type": "string",
"display": true,
"required": false,
"displayName": "QTY",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "TO",
"type": "string",
"display": true,
"required": false,
"displayName": "TO",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "list",
"value": 749936247,
"cachedResultUrl": "",
"cachedResultName": "Daily Sales Store 2"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "",
"cachedResultUrl": "",
"cachedResultName": "Data Analytics"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "",
"name": ""
}
},
"notesInFlow": true,
"typeVersion": 4.7
},
{
"id": "8a3afe9e-d873-4a02-9fb1-45fc9c380601",
"name": "帕累托分析",
"type": "n8n-nodes-base.code",
"position": [
-160,
-784
],
"parameters": {
"jsCode": "// Normalize + sort by turnover (TO) desc\nconst rows = items\n .map(i => ({\n ...i.json,\n TO: Number(i.json.TO || 0), // turnover = QTY x Unit Price\n QTY: Number(i.json.QTY || 0),\n }))\n .sort((a, b) => b.TO - a.TO);\n\nconst n = rows.length;\nconst totalTO = rows.reduce((s, r) => s + r.TO, 0) || 1;\n\nlet cumTO = 0;\nrows.forEach((r, idx) => {\n cumTO += r.TO;\n r.cum_turnover = cumTO; // absolute cumulative TO\n r.cum_share = +(cumTO / totalTO).toFixed(6); // 0..1\n r.sku_rank = idx + 1;\n r.cum_skus = +((idx + 1) / n).toFixed(6); // 0..1\n r.cum_skus_pct = +(r.cum_skus * 100).toFixed(2); // 0..100 for charts\n});\n\n// Return table\nreturn rows.map(r => ({ json: r }));\n\n"
},
"typeVersion": 2
},
{
"id": "e8e1409d-b571-43b8-ae9e-bb8da228cefd",
"name": "按商品分组的总订单数量",
"type": "n8n-nodes-base.code",
"position": [
-384,
-784
],
"parameters": {
"jsCode": "const agg = {};\nfor (const {json} of items) {\n const ITEM = String(json.ITEM);\n const TO = Number(json.TO);\n const QTY = Number(json.QTY);\n if (!agg[ITEM]) agg[ITEM] = { ITEM, TO: 0, QTY: 0 };\n agg[ITEM].TO += TO;\n agg[ITEM].QTY += QTY;\n}\nconst rows = Object.values(agg).sort((a,b)=> b.TO - a.TO);\nreturn rows.map(r => ({ json: r }));"
},
"typeVersion": 2
},
{
"id": "9e02d5cb-701d-4a40-b2bf-c2fae43af8ef",
"name": "按（门店，商品）分组的总订单",
"type": "n8n-nodes-base.code",
"position": [
-384,
-592
],
"parameters": {
"jsCode": "// Build dictionaries of unique stores & skus\nconst stores = new Set();\nconst skus = new Set();\n// Append dictionnaries with values\nfor (const {json} of items) { stores.add(json.STORE); skus.add(json.ITEM); }\n// List of Unique SKU\nconst skuList = Array.from(skus).sort();\n\n// Accumulate sums\nconst mat = {}; // store_id -> sku -> sum\nfor (const {json} of items) {\n const s = json.STORE;\n const k = json.ITEM;\n const v = Number(json.TO) || 0;\n if (!mat[s]) mat[s] = {};\n mat[s][k] = (mat[s][k] || 0) + v;\n}\n\n// Output wide rows with 0 fill\nconst rows = [];\nfor (const s of Array.from(stores).sort()) {\n const row = { STORE: s };\n for (const k of skuList) row[k] = mat[s][k] || 0;\n rows.push(row);\n}\nreturn rows.map(r => ({ json: r }));\n"
},
"typeVersion": 2
},
{
"id": "efe6f052-ff5d-4755-ae07-4a7bc480ddbb",
"name": "多门店销售",
"type": "n8n-nodes-base.googleSheets",
"position": [
64,
-592
],
"parameters": {
"columns": {
"value": {
"TO": "={{ $json.TO }}",
"DAY": "={{ $json.DAY }}",
"QTY": "={{ $json.QTY }}"
},
"schema": [
{
"id": "DAY",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "DAY",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "QTY",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "QTY",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "TO",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "TO",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "list",
"value": 421687347,
"cachedResultUrl": "",
"cachedResultName": "Daily Sales Store 1"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "",
"cachedResultUrl": "",
"cachedResultName": "Data Analytics"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "",
"name": ""
}
},
"notesInFlow": true,
"typeVersion": 4.7
},
{
"id": "5bd88834-9c20-4d9e-bd31-146dc31e2c18",
"name": "需求变异性 x 销售百分比",
"type": "n8n-nodes-base.code",
"position": [
-384,
-16
],
"parameters": {
"jsCode": "// INPUT items: rows with fields ITEM, DAY, QTY (others optional)\n\nfunction mean(a){ return a.reduce((s,x)=>s + x, 0) / (a.length || 1); }\nfunction stdev_samp(a){\n if (a.length <= 1) return 0;\n const m = mean(a);\n const v = a.reduce((s,x)=> s + (x - m) ** 2, 0) / (a.length - 1);\n return Math.sqrt(v);\n}\n\n// 1) build daily series per ITEM (sum across stores)\nconst series = {}; // ITEM -> { day -> qty_sum }\nlet totalQty = 0;\n\nfor (const { json } of items) {\n const item = String(json.ITEM);\n const day = String(json.DAY);\n const qty = Number(json.QTY || 0);\n\n if (!series[item]) series[item] = {};\n series[item][day] = (series[item][day] || 0) + qty;\n totalQty += qty;\n}\n\n// 2) compute metrics per ITEM\nconst out = [];\nfor (const [item, dayMap] of Object.entries(series)) {\n const daily = Object.values(dayMap); // array of daily qty\n const qty_total = daily.reduce((s,x)=>s+x, 0);\n const m = mean(daily);\n const sd = stdev_samp(daily);\n const cv = m ? sd / m : null;\n const share_qty_pct = totalQty ? (qty_total / totalQty) * 100 : 0;\n\n out.push({\n ITEM: item,\n qty_total,\n share_qty_pct: Number(share_qty_pct.toFixed(2)),\n mean_qty: Number(m.toFixed(3)),\n std_qty: Number(sd.toFixed(3)),\n cv_qty: cv == null ? null : Number(cv.toFixed(3)),\n });\n}\n\n// Optional: sort by share desc\nout.sort((a,b) => b.share_qty_pct - a.share_qty_pct);\n\n// Return as n8n items\nreturn out.map(r => ({ json: r }));\n"
},
"typeVersion": 2
},
{
"id": "805e6a80-bb24-446e-ab9c-a0e0c68f555a",
"name": "ABC XYZ 分析",
"type": "n8n-nodes-base.googleSheets",
"position": [
64,
-16
],
"parameters": {
"columns": {
"value": {
"ABC": "={{ $json.ABC }}",
"ITEM": "={{ $json.ITEM }}",
"cv_qty": "={{ $json.cv_qty }}",
"std_qty": "={{ $json.std_qty }}",
"mean_qty": "={{ $json.mean_qty }}",
"cum_share": "={{ $json.cum_share }}",
"qty_total": "={{ $json.qty_total }}",
"share_qty_pct": "={{ $json.share_qty_pct }}"
},
"schema": [
{
"id": "ITEM",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "ITEM",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "qty_total",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "qty_total",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "share_qty_pct",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "share_qty_pct",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "cv_qty",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "cv_qty",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "ABC",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "ABC",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "mean_qty",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "mean_qty",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "std_qty",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "std_qty",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "cum_share",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "cum_share",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "limit_cov",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "limit_cov",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {
"useAppend": false
},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "list",
"value": 1281688243,
"cachedResultUrl": "",
"cachedResultName": "ABC XYZ"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "",
"cachedResultUrl": "",
"cachedResultName": "Data Analytics"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "",
"name": ""
}
},
"notesInFlow": true,
"typeVersion": 4.7
},
{
"id": "fb1b23cb-cad9-4a75-bb41-5d87209b51c5",
"name": "更新帕累托表格",
"type": "n8n-nodes-base.googleSheets",
"position": [
64,
-784
],
"parameters": {
"columns": {
"value": {
"TO": "={{ $json.TO }}",
"QTY": "={{ $json.QTY }}",
"ITEM": "={{ $json.ITEM }}",
"cum_skus": "={{ $json.cum_skus }}",
"sku_rank": "={{ $json.sku_rank }}",
"cum_share": "={{ $json.cum_share }}",
"cum_skus_pct": "={{ $json.cum_skus_pct }}",
"cum_turnover": "={{ $json.cum_turnover }}"
},
"schema": [
{
"id": "ITEM",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "ITEM",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "TO",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "TO",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "QTY",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "QTY",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "cum_turnover",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "cum_turnover",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "cum_share",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "cum_share",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "sku_rank",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "sku_rank",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "cum_skus",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "cum_skus",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "cum_skus_pct",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "cum_skus_pct",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "list",
"value": 1760689869,
"cachedResultUrl": "",
"cachedResultName": "Pareto"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "",
"cachedResultUrl": "",
"cachedResultName": "Data Analytics"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "",
"name": ""
}
},
"notesInFlow": true,
"typeVersion": 4.7
},
{
"id": "82773b29-a1dc-445c-a8ea-d9c393d36eb4",
"name": "ABC 分类映射",
"type": "n8n-nodes-base.code",
"position": [
-160,
-16
],
"parameters": {
"jsCode": "// 1) Extract and sort by sales contribution\nlet rows = items.map(i => i.json);\nrows.sort((a, b) => b.share_qty_pct - a.share_qty_pct);\n\n// 2) Compute cumulative contribution\nlet cum = 0;\nfor (let r of rows) {\n cum += r.share_qty_pct;\n\n // 3) Assign class based on cumulative %\n if (cum <= 5) {\n r.ABC = 'A'; // top 5%\n } else if (cum <= 20) {\n r.ABC = 'B'; // next 15%\n } else {\n r.ABC = 'C'; // rest\n }\n\n r.cum_share = Number(cum.toFixed(2));\n}\n\n// 4) Return enriched rows\nreturn rows.map(r => ({ json: r }));\n"
},
"typeVersion": 2
},
{
"id": "21867671-78aa-4580-b51f-53c34f6a1dfa",
"name": "便签2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1166,
-784
],
"parameters": {
"color": 7,
"width": 540,
"height": 544,
"content": "### 触发工作流"
},
"typeVersion": 1
}
],
"pinData": {},
"connections": {
"If": {
"main": [
[
{
"node": "Sales Store 1",
"type": "main",
"index": 0
}
],
[
{
"node": "Sales Store 2",
"type": "main",
"index": 0
}
]
]
},
"Transpose": {
"main": [
[
{
"node": "Multi-Store Sales",
"type": "main",
"index": 0
}
]
]
},
"Pareto Analysis": {
"main": [
[
{
"node": "Update Pareto Sheet",
"type": "main",
"index": 0
}
]
]
},
"ABC Class Mapping": {
"main": [
[
{
"node": "ABC XYZ Analysis",
"type": "main",
"index": 0
}
]
]
},
"Get row(s) in sheet": {
"main": [
[
{
"node": "Filter Out Zero Sales",
"type": "main",
"index": 0
}
]
]
},
"TO, QTY GroupBy ITEM": {
"main": [
[
{
"node": "Pareto Analysis",
"type": "main",
"index": 0
}
]
]
},
"Daily Sales per Store": {
"main": [
[
{
"node": "If",
"type": "main",
"index": 0
}
]
]
},
"Filter Out Zero Sales": {
"main": [
[
{
"node": "Demand Variability x Sales %",
"type": "main",
"index": 0
},
{
"node": "TO, QTY GroupBy ITEM",
"type": "main",
"index": 0
},
{
"node": "TO GroupBy (STORE, ITEM)",
"type": "main",
"index": 0
},
{
"node": "Daily Sales per Store",
"type": "main",
"index": 0
}
]
]
},
"TO GroupBy (STORE, ITEM)": {
"main": [
[
{
"node": "Transpose",
"type": "main",
"index": 0
}
]
]
},
"Demand Variability x Sales %": {
"main": [
[
{
"node": "ABC Class Mapping",
"type": "main",
"index": 0
}
]
]
},
"When clicking ‘Execute workflow’": {
"main": [
[
{
"node": "Get row(s) in sheet",
"type": "main",
"index": 0
}
]
]
}
}
}常见问题
如何使用这个工作流？
复制上方的 JSON 配置代码，在您的 n8n 实例中创建新工作流并选择「从 JSON 导入」，粘贴配置后根据需要修改凭证设置即可。
这个工作流适合什么场景？
高级 - 杂项, 多模态 AI
需要付费吗？
本工作流完全免费，您可以直接导入使用。但请注意，工作流中使用的第三方服务（如 OpenAI API）可能需要您自行付费。
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工作流信息
难度等级
高级
节点数量17
分类2
节点类型6
作者
Samir Saci
@samirsaciAutomation, AI and Analytics for Supply Chain & Business Optimization Helping businesses streamline operations using n8n, AI agents, and data science to enhance efficiency and sustainability. Linkedin: www.linkedin.com/in/samir-saci
外部链接
在 n8n.io 查看 →
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