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客户案例|聚美:服饰走量玩家如何守住每一笔利润 用数字化“印”证增长?

龚作仁 2026-09-07 10:51
龚作仁 2026/09/07 10:51

邦小白快读

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这是一篇服饰走量商家聚美通过数字化升级实现利润增长的实战案例,分享了三个核心环节的实操干货:

1.达人分销样品管理:针对本地达人现场取货、无物流单号退样的场景,用系统实现全流程留痕管控,解决了“样品黑洞”成本高的问题,把达人分销从碰运气变成可复制的增长渠道,成功沉淀了大规模的达人资源池。

2.售后管理:推行全量售后生成工单,系统自动定责到人,既提升了售后效率,还能让售后数据反向反哺生产端改进品控,最终售后赔付审批时效提升80%,退款时效控制在1小时内。

3.业财管理:通过数字化工具实现日预估、月核实的业财一体模式,把利润核算从月末前移到日常,解放财务人力,提升数据准确性,支撑经营决策。

本文分享了走量服饰品牌聚美精细化运营守住利润的实战经验,对服饰品牌的渠道建设、产品优化、利润管理都有参考价值:

1.品牌渠道建设:达人分销是服饰走量的有效增长渠道,针对本地达人合作的特殊场景,可以通过数字化系统解决样品管控难、成本高的痛点,实现样品全流程留痕,清晰核算达人产出,沉淀稳定的达人资源池,把达人分销做成可复制的增长渠道。

2.产品研发与品控:通过售后工单系统自动定责,售后数据可以直接反哺生产端,精准发现哪类工艺、哪个批次的品控问题,从源头改进产品,减少售后问题。

3.利润管理:多店多渠道走量模式下,通过业财一体数字化管理,实现利润实时监控,帮助品牌在促销、投放过程中及时调整,守住每一笔利润。

本文针对走量服饰卖家规模增长后遇到的各类痛点,给出了可落地的解决方案,同时提示了新的增长机会:

1.常见痛点应对:达人样品管理混乱、售后定责难跨部门沟通成本高、多店多渠道财务核算滞后等走量卖家普遍遇到的问题,都可以通过数字化系统解决,适配不同的经营场景。

2.增长机会提示:达人分销依然是服饰走量的有效增长渠道,只要解决了样品管控的痛点,就能把达人分销做成长效可复制的增长渠道,不需要放弃原有赛道就能扩大规模。

3.经营升级启示:走量卖家不能只拼订单规模,粗放管理会吃掉大量利润,规模增长后要及时转向精细化运营,通过数字化把售后、财务数据转化为经营决策的支撑,才能真正守住利润,接住更大增长。

聚美拥有自有印花T恤工厂,本文的经验对服饰生产工厂的数字化升级和业务增长都有很强的参考意义:

1.产品生产与品控改进:依托售后工单系统,售后问题可以精准定责到具体的工序和人员,哪类印花工艺容易出问题、哪个批次的品控有波动都能清晰追溯,售后数据可以直接反向指导生产端改进,从源头减少售后问题,提升整体品控水平。

2.商业机会拓展:通过数字化解决了达人分销的管理痛点,可以做大达人分销渠道,沉淀稳定的达人资源,获得持续稳定的订单量,支撑工厂的规模增长。

3.数字化转型启示:工厂规模扩张后不需要一味增加人力来匹配管理需求,通过全链路数字化贯通生产、运营、售后、财务,可以有效提升管理效率,降低内耗成本,帮助工厂在走量模式下守住利润,实现可持续增长。

本文清晰展现了当前服饰走量商家的核心痛点和行业数字化发展趋势,对To B服务企业拓展市场、优化解决方案有很高的参考价值:

1.客户核心痛点:走量服饰商家大多是多店多SKU模式,普遍存在达人样品管理混乱、样品成本居高不下,售后定责难跨部门沟通成本高,多渠道财务核算不及时不准确、数据无法赋能经营决策等痛点,这些都是服务商的核心客户需求。

2.行业发展趋势:服饰产业带的走量商家已经从早年的粗放规模扩张,转向追求利润的精细化经营阶段,全链路数字化升级的需求非常旺盛,而且需要适配商家个性化场景的定制化功能。

3.解决方案方向:服务商需要深入贴合商家的实际经营场景,比如适配普宁本地达人现场取退样的特殊需求,打造覆盖分销、售后、生产、财务全链路的数字化解决方案,才能真正帮客户解决问题,获得客户认可。

本文反映了服饰产业带走量商家的真实经营需求,对电商平台的招商、运营管理和风险规避都有参考意义:

1.商家需求洞察:产业带走量型商家在规模增长到一定阶段后,人工粗放管理已经无法支撑运营,产生了强烈的精细化管理、全链路数字化的需求,需要适配自身经营场景的工具和服务,才能进一步增长。

2.平台运营优化方向:平台可以对接优质的数字化服务商,为平台内的服饰产业带商家提供适配的数字化工具服务,帮助商家降本增效、守住利润,提升商家的经营能力和平台留存率。

3.招商与风险规避:可以重点招商引入普宁这类产业带的走量型商家,这类商家有稳定的供应链和规模增长潜力,同时要引导商家做数字化升级,帮助商家规避粗放管理带来的利润流失风险,提升平台整体的经营质量。

本文提供了传统服饰产业带走量商家数字化转型的鲜活案例,反映了当前服饰电商产业的新动向,对产业研究有很高的价值:

1.产业新动向:我国服饰产业带早年的走量玩家大多走粗放扩张的路线,靠走量赚微薄利润,现在越来越多的商家开始转向精细化运营,通过数字化全链路管理挖掘利润空间,实现“规模增长+利润守住”的双赢,这是产业升级的新动向。

2.商业模式创新:聚美探索出了适合走量型服饰商家的新商业模式,通过数字化贯通达人分销、售后、生产、财务全链路,把各个环节的数据转化为经营决策的支撑,让走量生意从不可控变成可管控、可优化,这套模式具备可复制性。

3.研究启示:传统产业带的中小走量商家,不需要转型做高端品牌也能实现升级增长,数字化改造是性价比很高的升级路径,为研究中小制造商家升级提供了新的样本。

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Quick Summary

This is a practical case study of Jumei, a volume-focused apparel seller, that achieved profit growth through digital upgrading. It shares actionable insights across three core operational areas:

1. KOL distribution sample management: For the scenario where local influencers pick up samples in person and return them without tracking numbers, a digital system enables full-process traceability, solving the "sample black hole" problem of high costs. It turns KOL distribution from a luck-based channel into a replicable growth driver, and successfully built a large-scale influencer resource pool.

2. After-sales management: The company requires all after-sales requests to be processed through system-generated tickets with automatic accountability, which boosts after-sales efficiency and lets after-sales data feed back to production to improve quality control. Ultimately, after-sales claim approval lead time improved by 80%, and refund processing is completed within 1 hour.

3. Business-finance integration management: Digital tools enabled a daily forecast and monthly reconciliation business-finance integration model, shifting profit calculation from month-end to daily operation. This frees up finance team capacity, improves data accuracy, and supports better operational decision-making.

This article shares Jumei’s practical experience as a volume-focused apparel brand in protecting profit through refined operation, offering actionable references for channel development, product optimization and profit management for apparel brands:

1. Brand channel development: KOL distribution is an effective growth channel for volume-focused apparel sales. For the unique scenario of collaborating with local influencers, a digital system solves the pain points of difficult sample management and high costs, enabling full-process sample traceability, clear influencer performance accounting, and building a stable influencer resource pool to turn KOL distribution into a replicable growth channel.

2. Product R&D and quality control: With automatic accountability via after-sales ticket systems, after-sales data can directly feed back to production to accurately identify quality issues related to specific processes and batches, enabling product improvements from the source and reducing after-sales problems.

3. Profit management: For multi-store, multi-channel volume business models, integrated digital business-finance management enables real-time profit monitoring, helping brands make timely adjustments during promotions and marketing campaigns to protect every dollar of profit.

This article provides actionable solutions to common pain points volume-focused apparel sellers encounter after scaling up, and points out new growth opportunities:

1. Common pain point solutions: Widespread issues for volume sellers including chaotic KOL sample management, unclear after-sales accountability and high cross-department communication costs, and delayed multi-store multi-channel financial accounting can all be solved with digital systems adapted to different operational scenarios.

2. Growth opportunity: KOL distribution remains an effective growth channel for volume apparel sales. Once the pain point of sample management is solved, it can be developed into a long-term, replicable growth channel that allows sellers to scale without abandoning their existing business.

3. Insight for operational upgrading: Volume-focused sellers cannot rely solely on order scale—extensive management eats into large amounts of profit. After scaling up, businesses need to shift to refined operation in a timely manner, use digital tools to turn after-sales and financial data into support for operational decision-making, to actually protect profit and accommodate further growth.

Jumei operates its own printed T-shirt factory, so the insights in this article offer strong reference value for digital upgrading and business growth for apparel manufacturing factories:

1. Production and quality control improvement: Relying on an after-sales ticket system, after-sales problems can be accurately traced to specific processes and personnel, making it clear which printing processes are prone to defects and which batches face quality fluctuations. After-sales data can directly guide production improvements, reducing after-sales problems from the source and lifting overall quality control standards.

2. Business expansion: Solving KOL distribution management pain points through digital tools allows businesses to scale up KOL distribution channels, accumulate stable influencer resources, secure consistent order volume, and support factory growth.

3. Insight for digital transformation: After scaling up, factories do not need to blindly increase headcount to match management demand. Full-link digital connectivity across production, operation, after-sales and finance effectively improves management efficiency, reduces internal friction costs, and helps factories protect profit and achieve sustainable growth under a volume-based business model.

This article clearly outlines the core pain points of current volume-focused apparel sellers and industry digitalization trends, offering high reference value for B2B service providers looking to expand market share and optimize solutions:

1. Core customer pain points: Most volume apparel sellers operate multi-store, multi-SKU models, and commonly face pain points including chaotic KOL sample management, persistent high sample costs, unclear after-sales accountability and high cross-department communication costs, and inaccurate, delayed multi-channel financial accounting that fails to support operational decision-making. These pain points represent core customer demand for service providers.

2. Industry trends: Volume sellers in apparel industrial clusters have shifted from early extensive scale expansion to a profit-focused refined operation stage. Demand for full-link digital upgrading is very strong, and there is need for customized features adapted to merchants’ unique operational scenarios.

3. Solution direction: Service providers need to deeply align with merchants’ actual operational scenarios—for example, adapting to the unique requirement of in-person sample pickup and return for local influencers in Puning—and build full-link digital solutions covering distribution, after-sales, production and finance to truly solve customer problems and earn client recognition.

This article reflects the real operational needs of volume apparel sellers in industrial clusters, offering reference for merchant recruitment, operation management and risk mitigation for e-commerce platforms:

1. Merchant demand insight: When volume-focused sellers in industrial clusters scale to a certain size, manual extensive management can no longer support operations, creating strong demand for refined management and full-link digitalization. They need tools and services adapted to their unique operational scenarios to achieve further growth.

2. Platform operation optimization direction: Platforms can partner with high-quality digital service providers to offer adapted digital tooling for apparel industrial cluster sellers on the platform, helping merchants cut costs, boost efficiency, protect profit, and improve merchant operational capability and platform retention.

3. Recruitment and risk mitigation: Platforms can prioritize recruiting volume-focused sellers from industrial clusters like Puning—these sellers have stable supply chains and strong scale growth potential. At the same time, platforms should guide these sellers to pursue digital upgrading, helping them avoid profit erosion from extensive management and improve the overall operational quality of the platform.

This article provides a vivid case of digital transformation for volume-focused sellers in traditional apparel industrial clusters, reflecting new trends in the current apparel e-commerce industry, and offers high value for industrial research:

1. New industrial trends: Early volume players in China’s apparel industrial clusters mostly pursued extensive expansion and earned thin margins through high sales volume. Today, a growing number of sellers are shifting to refined operation, unlocking profit potential through full-link digital management to achieve the win-win of scale growth and protected profit. This is a new trend in industrial upgrading.

2. Business model innovation: Jumei has developed a new business model suitable for volume-focused apparel sellers: digital connectivity across the full chain of KOL distribution, after-sales, production and finance turns data from all links into support for operational decision-making, turning an uncontrollable volume business into a manageable, optimizable operation. This model is replicable.

3. Research insight: Small and medium-sized volume sellers in traditional industrial clusters can achieve upgrading and growth without repositioning as high-end brands. Digital transformation is a cost-effective upgrading path, providing a new sample for research on the upgrading of small and medium-sized manufacturing businesses.

Disclaimer: The "Quick Summary" content is entirely generated by AI. Please exercise discretion when interpreting the information. For issues or corrections, please email run@ebrun.com .

I am a Brand Seller Factory Service Provider Marketplace Seller Researcher Read it again.

在广东普宁,聚美是印花T恤赛道里具有代表性的“走量型”玩家。100多家店铺、日发2万多单、SKU超3000万——这些数字背后,藏着服饰走量生意绕不开的坎:达人样品如何高效流转,售后问题如何精准定责,多店、多渠道的财务数据又如何实现统一核算。

聚美给出的答案不是增加人力,而是选择与聚水潭合作,用数字化系统驱动服饰生意的精细管理,让一件衣物从选款、种草到交付的每一次流转都成为撬动更大增长空间的支点。

图片

01 达人分销:从“样品黑洞”到逆势重启

样品管住了,达人生意才能真正跑起来。

聚美布局达人渠道的时间不短,但其间一度遭遇管理瓶颈,样品的发出、跟进与退回全凭人工记录,达人是否履约、样衣是否回流、哪些达人仅拿样却零产出,均缺乏管控。随着样品规模不断扩大,这部分的投入成为一项不可忽视的经营成本。更为棘手的是普宁本地的合作场景:周边达人直接到仓库取货,直播结束后再整包退回;有时候则通过跑腿完成样品交接。全程无物流单号可寻,商务和仓库间协同效率受限,样品难以精准追溯。

图片

图:聚美自有工厂工作场景

转机出现在聚水潭达人分销模块上线之后,寄样管理、退样管理、达人管理,这些环节都被统一纳入系统化流程。针对聚美“现场取样,同城退样”的特殊场景,聚水潭也支持了样品“现场取货”和“退样无快递单号”等功能,本地达人直接赴仓取货,直播后闪送退样,全流程都在系统内完整留痕。

图片

图:达人样品管理系统操作示意图

如今,聚美已沉淀起规模可观的达人资源池,当每一件样品流向有迹可循、每一位达人贡献可清晰核算,达人分销就真正从“碰运气”变成了“可复制的增长”。

02 聚工单:让高频售后跑进可追溯的闭环

售后并不是订单完成后的收尾工作,而是消费者对商品、履约与服务的一次集中反馈。

聚工单上线后,聚美就确立了一项核心原则:全量售后生成工单。系统依据问题类型自动定责,每张工单均绑定责任人与责任部门。

正如客服主管黄伟玲所说:“售后是用户体验的最后一公里,做不好前面所有努力都白费。我的方法论就三句话:流程标准化、数据驱动决策、责任落实到人。”

对拥有自有工厂的聚美而言,这种精准定责的价值不止于分清责任,更在于售后数据能够直接反哺生产端改进:哪类印图工艺容易出问题、哪个批次的品控有波动,都能从工单中找到答案,从源头减少售后问题。例如当打印图纸颜色与设计不符时,客服创建工单后会第一时间发给对应的打图员或画图师,并同步至内部群进行二次紧急反馈,生产端随即介入处理,避免因信息滞后扩大售后影响。

售后也由此成为反向校准商品、生产与履约环节的经营信号,且成效显著:赔付审批时效提升80%,跨部门沟通成本降低80%,店铺服务体验基本保持满分,售后退款时效控制在1小时以内。高频售后真正走向了可管理、可优化的闭环,成为连接用户反馈与前端经营优化的起点。

03 聚胜算:从“盘清账目”到“赋能生意”,让业财同频共振

对走量型服饰生意来说,增长往往最先表现为订单和店铺数量的增长。但当规模跨越一定节点,真正考验企业的是能否在不断上新、持续投放、频繁售后的过程中,看清每一笔生意的真实回报。若财务仍停留在经营结果产生后再汇总核算的节奏上,数据就难以赋能经营决策——这也是聚美着力业财一体能力建设的初衷。

围绕这一诉求,聚美借助聚胜算逐步形成了“日预估、月核实”的经营节奏:财务部门日常将能够确认的费用及时纳入判断,暂时无法确认的部分按照规则预估,运营每天都能通过报表观察数据实时变化;次月实际数据齐备后,财务完成最终核实。利润判断从“月末算账”前移到“日常经营”,做到了促销前有依据、投放中能调整、复盘后有沉淀。

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图:聚美财务团队工作场景

财务负责人方玉娴提及,过去财务的大量精力消耗在账单归集、费用拆分和数据核对上。但现在更多人力被释放,团队得以将关注放在数据核验、费用异常与经营波动上。她坦言,工具的价值正在于以统一规则减少人为处理带来的偏差,“人可能会受主观判断影响,但工具不会。规则一旦设定,数据便始终按照同一套逻辑运行,准确性也更有保障。”

在如今聚美的日常经营中,运营团队持续追踪店铺的推广投入、利润表现与售后变化,一旦数据与一线经营体感出现偏差,便与财务共同追溯原因。财务以统一规则校准数据,运营以市场敏感度捕捉经营变化,双方协作,共同为每一次决策锚定更精准的利润坐标。


在普宁这个以“快”和“量”为关键词的产业带,聚美走出了一条从粗放走量到精细经营的路,没有把增长停留在订单与规模上,而是选择和聚水潭紧密合作,用数字化贯穿生产、运营、财务与售后全链路。于是,“快”有了章法,“量”有了保障,守住每一笔利润,接住更大的增长。

注:文/龚作仁,文章来源:Laborer,本文为作者独立观点,不代表亿邦动力立场。

文章来源:Laborer

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FAQ回顾

走量型服饰商家普遍面临哪些经营痛点?

走量型服饰商家普遍面临三类核心经营痛点:一是达人样品流转效率低、无迹可寻,造成不必要的成本浪费;二是售后问题难以精准定责,跨部门沟通成本高,用户体验难保障;三是多店多渠道财务数据难以统一核算,无法及时支撑经营决策。

聚水潭达人分销模块能为服饰商家解决什么问题?

聚水潭达人分销模块可将寄样、退样、达人管理全环节纳入系统化流程,还支持“现场取货”“退样无快递单号”等特殊场景功能,实现样品全流程留痕追溯,清晰核算达人贡献,帮助商家降低样品管理成本。

服饰商家推进业财一体化建设有什么价值?

服饰商家推进业财一体化建设后,可将利润判断从“月末算账”前移到“日常经营”,释放财务人力聚焦数据核验、费用异常与经营波动排查,做到促销前有依据、投放中能调整、复盘后有沉淀,准确把控每一笔生意的真实利润。

服饰商家用数字化系统管理售后能获得哪些成效?

服饰商家用数字化系统管理售后,实现全量售后生成工单、系统自动定责绑定责任人后,可让售后数据直接反哺生产端优化,还能提升赔付审批时效80%,降低跨部门沟通成本80%,售后退款时效可控制在1小时以内。

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