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导语：如今，Agent 正在进入内容生产、海外订货和跨境退货等具体业务环节，并把跑通的能力复制到更多品牌和市场。
Agent，正在成为安踏全球化业务中的“数字同事”。
作为全球前三的体育用品集团，安踏集团多品牌、跨市场经营的背后，是大量商品、内容、订单和售后流程。如今，Agent 正在进入内容生产、海外订货和跨境退货等具体业务环节，并把跑通的能力复制到更多品牌和市场。
这些 Agent 来自一线业务的真实需求。通过火山杯 Agent 创新大赛，业务团队提出问题，FDE 协助拆解流程和开发调试，再借助火山引擎模型和智能体等能力，把 Agent 放回实际工作中验证。
“企业看 Agent 建设进展，真正看三个指标：第一，有多少业务每天离不开 Agent，这是人的维度；第二，有多少业务流程已经默认 Agent 参与，这是流程维度；第三，有多少 Agent 开始跨国家复制，这是区域维度。”安踏全球IT交付与支持部总监吴永良表示。
Agent进入跨境电商业务一线
安踏选择先从一线真实问题出发，把重复、耗时、规则不明的环节做成 Agent。过程中不只看 Agent 能回答什么，还要看它能不能真正接手一段工作。
吴永良表示：“判断一个 Agent 是否真正进入生产，不是看它回答得多聪明，而是看它能否替代完整流程中的某一环节。过去AI回答一个问题，未来AI完成一件事情。Agent 竞争的终点不是聊天，而是工作流。”
带货视频Agent：新人半天上手多站点内容生产
东南亚电商业务商品上新快，带货内容也要及时跟上。过去，短视频运营要找热点、拆视频、生成提示词，再发布到不同站点，多个环节都依赖人工重复操作。
AI带货视频 Agent 把这条链路串了起来：ArkClaw 采集热点和对标视频，完成视频拆解和提示词生成，Seedance 2.0生成商品短片，再衔接多站点发布。
实习新人借助 Agent，半天即可独立产出合格的带货视频。同等 Token 消耗下，每天还能多产出约15条，运营也能把更多时间留给选题和创意。
安踏东南亚电商部短视频运营李晗表示：“东南亚站点每天上新商品特别多，人工剪辑视频完全跟不上备货节奏，靠AI批量做视频是提升店铺销量的关键方向。”
海外订货Agent：下单决策由半天缩短至10分钟
安踏国际事业部每次订货都要处理四套不同模板。底层数据重合度约90%，但货号、品类、翻译、公式和格式仍需人工逐项处理。
商品规划团队利用 ArkClaw 把四套模板封装成 Skill，自动完成货号转换、品类筛选、格式对齐等标准化输出。
目前，海外订单工具自动化 Agent 完整下单决策由过去的半天缩短至10—20分钟，手工录入减少约90%，数据准确率超过99%。这套 Agent 已覆盖鞋、服两条产品线，后续计划用于产品线规划、竞品价格带分析等场景。
安踏国际事业部商品规划人员王洁仪表示：“四套模板的底层数据约90%重叠，但每次都要人工逐一搬运、翻译并对齐公式和格式。商品规划中的 Excel 重复操作很多，技术方案可以复用。”
退货单据Agent：月均自动建单1000+
跨境退货环节存在一个典型的流程断点，电商平台订单退货后，平台信息不能直接回到安踏系统，客服需要把信息搬到 ERP 创建退货单，再逐单跟进状态，退货量增加时会产生大量跨系统重复操作。
退货单据自动化 Agent 补上了这段流程，Agent 自动从电商平台抓取退货数据，按照 ERP 模板生成单据，并定期汇总退货状态，进行状态提示。
目前，这套 Agent 已经进入企业生产系统，在安踏品牌的 TikTok 跨境业务中，每月自动创建超1000张退货单。人工建单和逐单跟进显著减少，仓库入库效率也随之提升。下一步，这套流程还计划开放给斐乐及其他品牌的 TikTok 业务团队。
从单品牌提效到跨品牌复用
三个 Agent 对应内容生产、海外订货和跨境售后，也给出了相近的落地路径：从一线问题出发，把流程和规则拆清楚，做成 Agent，再回到真实业务中检验效果。
对安踏集团来说，现阶段对应的工作重点是把已经验证有效的 Agent 稳定接入日常流程，建立统一的平台和治理能力，并逐步形成跨品牌、跨区域的能力复制。
当一条流程在实际业务中跑稳，再复制给更多业务团队，Agent 便从一次比赛作品变成可持续使用的业务工具，在越来越多电商场景中产生实效。
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Introduction: Agent is now entering specific business links such as content production, overseas ordering and cross-border repatriation, and replicating running power to more brands and markets.
Agent is becoming a “digital colleague” in the business of peace-building globalization.
As the world ' s third largest sports utility group, the Antex Group ' s multiple brands and cross-market operations are backed by a large number of commodities, content, orders and after-sales processes. Today, Agent is entering specific business links such as content production, overseas ordering and cross-border repatriation, and replicating running power to more brands and markets.
These Agents come from the real needs of front-line businesses. Through the Volcanic Cup Agent Innovation Competition, the business team asked questions, and FDE assisted in dismantling processes and developing debugging, and put Agent back to practical validation using capabilities such as Volcengine and AI agent.
“Enterprises look at the progress of Agent's construction, looking at three real indicators: first, how many businesses remain with Agent each day, which is a human dimension; secondly, how many business processes have defaulted on Agent's involvement, which is a process dimension; and thirdly, how many Agent has started to replicate across countries, which is a regional dimension.
Agent is on the line of cross-border electrician operations.
Antex chose to start with the first line of real issues, making the repeat, time-consuming, undefined chain of rules Agent. It's not just about what Agent can answer, it's about whether he can really take on a job.
Wu said, "It's not so much how smart it is to judge whether an Agent actually enters production, but whether it can replace a part of the whole process. In the past AI answered one question, and in the future AI finished one thing. Agent's competition ends not with chat, but with workflow."
Agent: Newcomers produce multiple sites every day
South-East Asian electricians are operating fast and carrying content needs to be kept up. In the past, short video operations had sought hot spots, deciphered videos, generated prompt, then moved publish to different sites, with multiple links relying on manual duplication.
AI brought the cargo video Agent and linked the link: ArkClaw collected hot spots and cross-referenced videos, completed video dismantling and prompt generation, Seedance 2.0 generated short clips of commodities and linked multiple sites to publish.
The trainee, through Agent, is able to independently produce a quality video of the goods. The same token consumes about 15 more per day, and operations leave more time for selection and creativity.
According to short video, operating by the Southeast Asian Electrician Department, Li, “the South-East Asian site has a particularly large number of new commodities on a daily basis, the artificial clipping of videos is completely out of step with the delivery schedule, and the use of ACV video is a key direction for increasing the sales of shops”.
Overseas orders Agent: reduced from half a day to 10 minutes of decision-making
The Department of International Affairs handles four different sets of templates for each order. The bottom data overlap is about 90 per cent, but the number, class, translation, formulae and format still need to be processed manually on a line-by-line basis.
The commodity planning team used ArkClaw to encapsulate four sets of templates into Skill, which automatically complete the standardized output of transformation, class selection, formatting etc.
Currently, the automation of overseas order tools, Agent, has reduced the number of complete order decisions from the past half-day to 10-20 minutes, reduced manual entry by about 90 per cent and data accuracy by over 99 per cent. This set of Agents has covered two product lines of shoes and clothing, with follow-up plans for product line planning, price belt analysis, etc.
According to Wang Jie, a commodity planners at the Department of International Business, “The bottom data of the four sets of templates overlaps by about 90 per cent, but each time they are manually moved, translated and aligned. Excel in commodity planning has a lot of duplication, and technical options can be reused.”
Return document Agent: Monthly average automatic bill 1000+
There is a typical process break point at the cross-border return chain, after the return of the electrical platform order, the platform information cannot be returned directly to the embedding system, and the passenger service needs to move the information to the ERP to create a return order and then follow up on a case-by-case basis, resulting in a large number of cross-system duplicates when the return volume increases.
Automation of the return document was supplemented by the process whereby Agent automatically retrieves the return data from the electrician platform, generates the documents according to the ERP template, and periodically aggregates the return status and makes a state alert.
At present, the Agent has entered the enterprise production system and automatically created over 1,000 return orders per month in the off-site TikTok cross-border operation. There has been a significant decrease in manual billing and individual follow-up, with the attendant increase in warehouse entry efficiency. next step, the process is also planned to be opened to the TikTok business team of Phila and other brands.
From single brand to cross brand reuse
The three Agents, which produce content, order overseas and sell across borders, also give a similar path to landing: Starting from a front-line issue, clear processes and rules, become Agent and then back to real business to test effects.
For the Sub-Group, the focus at this stage will be on bringing proven and effective Agent steady access to day-to-day processes, building a unified platform and governance capacity and gradually replicating capacity across brands and regions.
When a process runs smoothly in practice and replicates it to more business teams, Agent moves from a competition to a sustainable business tool, producing results in an increasing number of electrical business scenarios.
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