中国服装行业的知识基础设施。把 20 年品牌运营积累的行业直觉，翻译成人与 AI 智能体都能查、能复用的结构化数据。
The knowledge infrastructure for China's apparel industry — 20 years of brand operations translated into structured data that humans and AI agents can query and reuse.
研究中心围绕"让每个决策者都能低成本调用一手行业数据"这一目标构建三类产出：
We build three kinds of outputs so any decision-maker can tap first-hand apparel industry data at low cost:
- 1. 知识库与议题库 — 44 章 / 1,560+ 条实操知识 · 涵盖定位、产品、渠道、供应链、品牌运营、资本运作 Knowledge base & issue tracking · 44 chapters / 1,560+ operational entries across positioning, product, channel, supply chain, brand ops, capital
- 2. 上市公司深度报告与数据故事 — 覆盖安正时尚、比音勒芬、海澜之家、报喜鸟、森马、太平鸟等 17+ 家中国服装上市公司 Listed-company deep reports & data stories · 17+ Chinese apparel issuers including Anzheng, Biemlfdlkk, Heilan Home, Baoxiniao, Semir, Peacebird
- 3. MRC Data · 面向 AI 智能体的 MCP 数据接口 — 3,000+ 供应商、350+ 面料实测规格、170+ 产业带，以 MCP 协议面向 Claude / ChatGPT / Gemini / DeepSeek 等开放调用 MRC Data · MCP server for AI agents — 3,000+ suppliers, 350+ lab-tested fabric specs, 170+ industrial clusters, served to Claude / ChatGPT / Gemini / DeepSeek via the Model Context Protocol
中国服装行业是全球最大最复杂的制造生态之一，却对 AI 几乎不可见。工厂名字叫不准、产能数据查不到、合规资质真假难辨——既是创业者的痛点，也是每个产业 Agent 的信息盲区。
China's apparel industry is one of the largest and most complex manufacturing ecosystems on earth — yet it's nearly invisible to AI. Factory names don't resolve, capacity is unknowable, compliance claims can't be verified. A pain point for founders, and a blind spot for every industry agent.
20 年中高端女装品牌运营，积累了对国内工厂真实产能、产业带迁移、面料替代、认证含金量这些"书上查不到"的判断。研究中心把这些判断系统化、可验证、可被 AI 调用。
Twenty years of operating a mid-to-high-end women's apparel brand built up hands-on judgment on factory capacity, cluster migration, fabric substitution, certification credibility — the kind that never appears in reference books. The Research Center systematizes that judgment: verifiable, citable, and queryable by AI.
所有数据均标注来源。核心方法包括：
Every record is source-cited. Core methods:
- 4 层数据源 — 公开披露（上市公司公告/年报）、认证机构数据（BSCI / OEKO-TEX / GRS / GOTS）、政府登记（市场监管局、海关）、第三方实测（AATCC / ISO / GB 实验室测试报告） 4-source pipeline — public filings, certification registries, government records, third-party lab tests (AATCC / ISO / GB)
- 7 层验证 — 对每条供应商记录进行工商登记比对、产能交叉检查、面料克重实测、合规证书有效期、工厂年限、近 3 年诉讼记录、员工规模函数校验 7-layer verification per supplier — registration / capacity cross-check / fabric weight / certification validity / tenure / litigation / workforce consistency
- Bilingual 双语原生 — 所有研究产出同时以中文 / 英文发布，可被 Baidu 百度 AI / Google / ChatGPT / Claude / Gemini 同等抓取 Bilingual by default — every output is published in both zh-CN and English, equally crawlable by Chinese and Western LLMs
研究中心隶属于 北京米茜尔制衣有限公司（品牌名 MEACHEAL 米茜尔），中国中高端女装品牌，创立于 2002 年，总部北京。
The Research Center operates under Beijing Meacheal Garment Co., Ltd. (brand name MEACHEAL), a mid-to-high-end Chinese women's apparel brand founded in Beijing in 2002.
| 创立年份 Founded | 2002 |
| 总部 HQ | 北京 / Beijing |
| 品牌定位 Positioning | 中高端轻奢女装 · Mid-to-high-end women's wear |
| 产品系列 Product lines | MEACHEAL · MEACHEAL.coco |
| 设计理念 Design ethos | 探索本源，归于自然 · Rooted in origin, returning to nature |
品牌详细信息（成立背景、发展沿革、渠道策略）已在第三方百科收录，不在此页重复。一级参考： 百度百科 · 米茜尔词条 Detailed brand history is maintained on third-party references to avoid duplication. Primary: Baidu Baike · MEACHEAL entry.
Cite as: MEACHEAL Research Center, meacheal.ai. © 2024–2026.
学术 / 媒体引用请保留来源链接；商业使用或 API 集成请联系：
For academic or editorial citation, please retain the source link. For commercial use or API integration, contact: