[{"data":1,"prerenderedAt":279},["ShallowReactive",2],{"docs-doc-\u002Fdocs\u002Fintro\u002Fvalue":3,"docs-live-paths":228},{"id":4,"title":5,"body":6,"description":214,"extension":215,"meta":216,"navigation":223,"path":224,"seo":225,"stem":226,"__hash__":227},"content\u002Fdocs\u002Fintro\u002Fvalue.md","衍数能解决什么问题",{"type":7,"value":8,"toc":200},"minimark",[9,20,24,35,42,45,50,53,60,69,73,76,83,91,95,98,109,117,121,124,135,142,145,161,170,173,193],[10,11,12],"blockquote",{},[13,14,15,16],"p",{},"本文面向正在为企业评估业务系统的管理者。先不展开技术细节，首先解答一个问题：",[17,18,19],"strong",{},"引入衍数，能解决企业面临哪些核心业务问题。",[21,22,23],"h2",{"id":23},"一句话回答",[13,25,26,27,30,31,34],{},"衍数让一家中小企业能够同时获得两样过去通常只有大公司才具备的条件：",[17,28,29],{},"一套口径统一的业务系统","（订单、库存、客户、财务对得上），以及",[17,32,33],{},"随时可用的经营分析能力","（实时看清每一笔钱赚没赚、哪个环节在流失）。",[13,36,37,38,41],{},"实现这一点依靠平台内建的低代码能力与 ",[17,39,40],{},"AI 数字员工","：不必具备编程经验，通过配置与对话即可搭建系统、查询数据、生成报表。AI 数字员工是一项可重复调用的自动执行能力，而非一次性的开发外包。",[21,43,44],{"id":44},"四类常见的业务问题",[46,47,49],"h3",{"id":48},"想有一套系统但缺少开发资源","① 想有一套系统，但缺少开发资源",[13,51,52],{},"常规软件交付是「按需求报价、另行开发」：一套订单系统动辄十数万、开发周期数月，后续每次调整需求再行计费。",[13,54,55,56,59],{},"衍数采用不同的方式：平台",[17,57,58],{},"预置了行业通用的数据模型与指标口径","——订单如何记录、库存如何管理、毛利如何计算，这些业务常规已经内置，无需从零定义数据字段。从零起步时，向 AI 数字员工说明需要的系统形态，平台基于行业模板搭建；企业已有系统或数据时，通过一层适配即可接入。",[10,61,62],{},[13,63,64,65,68],{},"结果：",[17,66,67],{},"无需自建开发团队，也无需从零向平台说明业务结构。"," 行业通用的骨架已经备好，企业的任务是把自身的业务数据放进去。",[46,70,72],{"id":71},"账算不清月底对不上","② 账算不清、月底对不上",[13,74,75],{},"「零售说赚、批发说赚、财务一算没赚」——这通常不是某一方的过失，而是多套台账各自计算、口径不一致的必然结果。",[13,77,78,79,82],{},"衍数将订单、库存、成本纳入",[17,80,81],{},"同一套口径","：每一笔进出都可追溯，报表中的「销售额」「毛利」指向同一份定义。AI 数字员工查询数据时携带口径与来源，只认一套账。",[10,84,85],{},[13,86,64,87,90],{},[17,88,89],{},"口径统一之后，企业能够回答「哪个渠道真正盈利」。"," 业务与财务基于同一套数据，不再各说各话。",[46,92,94],{"id":93},"缺少专职分析人员","③ 缺少专职分析人员",[13,96,97],{},"中小企业也在持续产生数据，只是缺少专人分析。导出到 Excel 的订单数据往往就此沉淀，无人指出「上周哪个品类在下滑、为什么」。",[13,99,100,101,104,105,108],{},"衍数将经营数据呈现为",[17,102,103],{},"实时看板","：毛利、损耗、渠道利润等关键指标一目了然，且口径在全平台一致。需要深入分析时，可向 AI 数字员工提问——例如「上周营业额为什么下降」，它按",[17,106,107],{},"既定口径","调取底层数据做归因，结论可追溯、可下钻验证。",[10,110,111],{},[13,112,64,113,116],{},[17,114,115],{},"无需专职分析师，也能持续掌握经营状况。"," AI 给出的每个数字都指向明确的口径与来源。",[46,118,120],{"id":119},"顾虑数据被厂商绑定","④ 顾虑数据被厂商绑定",[13,122,123],{},"部分平台的账务运算在厂商侧服务器完成，停止续费后数据难以带走；部分 AI 功能要求将数据提交给云端模型。",[13,125,126,127,130,131,134],{},"衍数的设计取向不同：",[17,128,129],{},"系统运行在企业自己的环境中，数据由企业掌控","（支持私有化部署）；AI 接入外部模型时，由企业决定开放哪些接口、传递哪些数据。沉淀的模型、页面、指标口径属于",[17,132,133],{},"企业资产","，而非租用的服务。",[10,136,137],{},[13,138,64,139],{},[17,140,141],{},"系统归企业所有、随使用沉淀，而不是越用越受制于某一厂商。",[21,143,144],{"id":144},"哪些情况适合考虑衍数",[146,147,148,152,155,158],"ul",{},[149,150,151],"li",{},"以 Excel 台账、微信报单及多个孤立的小系统维持经营，月底对账依赖人工；",[149,153,154],{},"缺乏、也难以长期保留专职的开发与数据分析人员；",[149,156,157],{},"存在库存损耗、批发对账、渠道利润算不清等具体场景；",[149,159,160],{},"希望将数据沉淀为可掌控的资产，而非散落各处。",[13,162,163,164,169],{},"若命中其一，可先用",[165,166,168],"a",{"href":167},"\u002Fdocs\u002Fquickstart\u002Fdemo-30s","免登录在线演示","查看一套已填好数据的行业系统。",[21,171,172],{"id":172},"接下来可以做什么",[146,174,175,182,190],{},[149,176,177,178,181],{},"查看产品形态 → ",[165,179,180],{"href":167},"30 秒在线体验","，无需注册。",[149,183,184,185,189],{},"了解系统的搭建方式 → ",[165,186,188],{"href":187},"\u002Fdocs\u002Fquickstart\u002Ffive-minutes","五分钟快速上手","。",[149,191,192],{},"咨询具体场景 → 点击页面右下角「在线咨询」，AI 数字员工或顾问会结合业务说明落地方案。",[13,194,195,196,189],{},"开发者或实施方若希望了解平台的技术底座与交付方式，请直接阅读",[165,197,199],{"href":198},"\u002Fdocs\u002Fintro\u002Foverview","平台总览",{"title":201,"searchDepth":202,"depth":202,"links":203},"",2,[204,205,212,213],{"id":23,"depth":202,"text":23},{"id":44,"depth":202,"text":44,"children":206},[207,209,210,211],{"id":48,"depth":208,"text":49},3,{"id":71,"depth":208,"text":72},{"id":93,"depth":208,"text":94},{"id":119,"depth":208,"text":120},{"id":144,"depth":202,"text":144},{"id":172,"depth":202,"text":172},"面向正在为企业选型业务系统的管理者——衍数能解决企业的哪些具体问题、如何落地。","md",{"audience":217,"type":218,"section":219,"pr_order":220,"role":221,"duration":222},"public","intro","产品介绍",1,"老板 \u002F 采购决策者","约 4 分钟",true,"\u002Fdocs\u002Fintro\u002Fvalue",{"title":5,"description":214},"docs\u002Fintro\u002Fvalue","G77U-y19ZpGKthJL4tapKiu56SFgqg1deKhnJZ27umE",[229,231,233,235,237,239,241,243,245,247,249,251,253,255,257,259,260,261,263,265,267,269,271,273,275,276,277],{"path":230},"\u002Fdocs\u002Fconcepts\u002Fai",{"path":232},"\u002Fdocs\u002Fconcepts\u002Fai-team",{"path":234},"\u002Fdocs\u002Fconcepts\u002Fcore",{"path":236},"\u002Fdocs\u002Fconcepts\u002Fflux",{"path":238},"\u002Fdocs\u002Fconcepts\u002Fmetrics",{"path":240},"\u002Fdocs\u002Fconcepts\u002Fview",{"path":242},"\u002Fdocs\u002Fdemo-center",{"path":244},"\u002Fdocs\u002Fdeploy\u002Foverview",{"path":246},"\u002Fdocs\u002Ffaq",{"path":248},"\u002Fdocs\u002Fglossary",{"path":250},"\u002Fdocs\u002Fguide\u002Fai-kb",{"path":252},"\u002Fdocs\u002Fguide\u002Fcrud",{"path":254},"\u002Fdocs\u002Fguide\u002Fdb-connect",{"path":256},"\u002Fdocs\u002Fguide\u002Fmodel-gen",{"path":258},"\u002Fdocs\u002Fintro\u002Fframeworks",{"path":198},{"path":224},{"path":262},"\u002Fdocs\u002Fintro\u002Fwhy",{"path":264},"\u002Fdocs\u002Fmechanism\u002Fai-employee-task",{"path":266},"\u002Fdocs\u002Fmechanism\u002Fdata-flux",{"path":268},"\u002Fdocs\u002Fmechanism\u002Fmetrics-contract",{"path":270},"\u002Fdocs\u002Fmechanism\u002Fpermission",{"path":272},"\u002Fdocs\u002Fmechanism\u002Fpublish",{"path":274},"\u002Fdocs\u002Fquickstart\u002Fclone-template",{"path":167},{"path":187},{"path":278},"\u002Fdocs\u002Fsystem\u002Foverview",1788586879697]