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HitGoo嗨特购完成新一轮亿元级融资 将以扩张为核心转向以盈利为核心

卜晚乔 2024-09-09 18:06
卜晚乔 2024/09/09 18:06

邦小白快读

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HitGoo嗨特购完成新一轮亿元级融资并战略转向盈利,提供实操干货。

1.融资信息:完成第三轮融资,金额亿元以上,用于供应链和技术体系建设,此前投资方包括险峰长青、光点资本等。

2.业务模式:品牌集合折扣店,产品覆盖零食、日化、饮料酒水及美妆护肤,以尾货、临期品和硬折扣为主,合作国际大牌如欧莱雅、雅诗兰黛。

3.门店运营:门店分布在北京、上海等城市,40%货品是尾货,由大模型智能定价处理过期日期。

4.战略目标:当前472家门店,2024年底目标1000家,未来三年覆盖用户1.2亿+,销售额380亿元;转向盈利为核心,加强京津冀、山东等北方市场,收缩其他地区。

品牌营销和定价策略是核心关注点。

1.品牌合作:与国际大牌如欧莱雅、雅诗兰黛合作,提供折扣商品,利用尾货处理建立渠道,降低品牌库存风险。

2.定价竞争:采用大模型智能定价系统,根据尾货过期日期(3个月、6个月、一年不等)动态调整价格,优化品牌定价策略。

3.消费趋势:折扣店模式覆盖零食、日化等品类,反映用户对高性价比商品的需求增长,品牌可借鉴此模式应对消费行为变化。

4.产品研发启示:通过尾货和临期品处理,展示产品生命周期管理,品牌可研发类似折扣渠道以提升用户粘性。

增长机会和风险提示提供关键学习点。

1.机会提示:门店扩张计划到2024年底1000家,覆盖用户1.2亿+,销售额目标380亿元,显示折扣零售市场增长潜力。

2.风险规避:战略转向以盈利为核心,收缩非北方地区(如京津冀、山东以外),提示卖家关注区域市场风险,避免盲目扩张。

3.可学习点:大模型智能定价处理尾货,卖家可借鉴此技术优化库存管理和价格策略;合作国际大牌模式,提供合作方式启示。

4.商业模式:硬折扣和尾货处理模式,卖家可学习其低成本运营,应对消费需求变化。

数字化启示和商业机会是重点。

1.产品生产需求:尾货处理占40%货品,工厂可承接类似订单,优化生产设计以减少库存积压。

2.商业机会:与国际大牌合作提供折扣商品,工厂可探索尾货供应链合作,获取稳定订单来源。

3.数字化启示:大模型智能定价系统,工厂可借鉴此技术推进电商化,实现生产数据智能化管理;融资用于技术体系建设,启示工厂加强数字化投入。

新技术应用和行业趋势提供解决方案。

1.新技术:大模型智能定价系统解决尾货处理痛点,服务商可开发类似AI方案优化客户库存管理。

2.行业趋势:折扣零售模式增长,门店目标1000家,服务商可关注此趋势提供供应链技术支持。

3.客户痛点解决方案:尾货过期问题(3个月至一年不等),服务商可设计动态定价工具;融资用于技术体系建设,启示服务商聚焦数字化解决方案。

运营管理和招商策略是关键。

1.平台最新做法:战略收缩非北方地区,专注京津冀、山东市场,平台可优化区域布局规避风险。

2.招商机会:门店扩张到1000家,提供平台招商潜力;合作国际大牌,平台可吸引品牌入驻。

3.运营管理:大模型智能定价系统,平台可应用此技术管理价格和库存;转向盈利为核心,启示平台加强运营效率。

商业模式和战略动向提供研究启示。

1.商业模式:尾货折扣模式(40%尾货),结合硬折扣和国际合作,研究者可分析其可持续性和创新性。

2.产业新动向:战略从扩张转向盈利,收缩区域,反映零售业调整趋势;融资历史显示资本青睐折扣零售。

3.政策启示:智能定价处理过期商品,研究者可探讨法规建议,如尾货管理政策;未来目标(用户1.2亿+、销售额380亿)提供量化研究案例。

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声明:快读内容全程由AI生成,请注意甄别信息。如您发现问题,请发送邮件至 run@ebrun.com 。

我是 品牌商 卖家 工厂 服务商 平台商 研究者 帮我再读一遍。

Quick Summary

HitGoo completes new ¥100M+ funding round and shifts focus to profitability, offering practical insights.

1. Funding details: Secures third-round financing exceeding ¥100 million to strengthen supply chain and technology infrastructure, with prior investors including Xianfeng Changqing and Guangdian Capital.

2. Business model: Operates as a multi-brand discount retailer specializing in snacks, daily chemicals, beverages, alcohol, and cosmetics, leveraging overstocked/near-expiration goods and hard-discount strategies. Partners include global brands like L'Oréal and Estée Lauder.

3. Store operations: With 472 stores across Beijing and Shanghai, 40% of inventory consists of overstock items priced dynamically via AI models based on expiration dates.

4. Strategic goals: Aims to reach 1,000 stores by end-2024, targeting 120M+ users and ¥38B in sales within three years. Prioritizes profitability by intensifying focus on northern markets like Beijing-Tianjin-Hebei and Shandong while scaling back other regions.

Brand marketing and pricing strategies are key focus areas.

1. Brand partnerships: Collaborates with global brands like L'Oréal and Estée Lauder to distribute discounted goods, utilizing overstock channels to reduce inventory risks.

2. Pricing competition: Employs AI-powered dynamic pricing tailored to expiration timelines (3–12 months), optimizing brand pricing strategies.

3. Consumer trends: Discount retailing across snacks and daily essentials reflects growing demand for cost-effective products, offering brands a model to adapt to shifting consumption patterns.

4. R&D insights: Overstock management demonstrates product lifecycle strategies, inspiring brands to develop similar discount channels to enhance customer loyalty.

Growth opportunities and risk warnings provide key takeaways.

1. Opportunities: Plans to expand to 1,000 stores by end-2024, targeting 120M+ users and ¥38B sales, signaling growth potential in discount retail.

2. Risk mitigation: Strategic pivot to profitability with reduced focus on non-northern regions (e.g., outside Beijing-Tianjin-Hebei and Shandong) highlights the need for sellers to assess regional market risks and avoid unchecked expansion.

3. Learnings: AI-driven pricing for overstock goods offers sellers insights into inventory and pricing optimization; partnerships with global brands present collaboration models.

4. Business model: Hard-discount and overstock strategies demonstrate low-cost operations adaptable to evolving consumer demands.

Digitalization insights and business opportunities are key takeaways.

1. Production demand: Overstock goods comprise 40% of inventory, suggesting factories can secure similar orders by optimizing production to minimize excess stock.

2. Business opportunities: Partnerships with global brands for discounted products open avenues for factories to engage in overstock supply chains and secure stable orders.

3. Digitalization: AI pricing systems inspire factories to adopt smart data management for e-commerce; funding allocated to technology infrastructure underscores the need for digital investment.

New technology applications and industry trends inform solution development.

1. Technology: AI-powered pricing systems address overstock management pain points, enabling service providers to develop similar AI tools for client inventory optimization.

2. Industry trends: Discount retail expansion (1,000-store target) signals demand for supply chain and technical support services.

3. Pain point solutions: Dynamic pricing tools can tackle expiration challenges (3–12 months); funding for technology systems highlights opportunities in digital solutions.

Operational management and merchant recruitment strategies are critical.

1. Platform strategy: Regional focus on northern markets like Beijing-Tianjin-Hebei and Shandong, while scaling back elsewhere, offers insights for optimizing geographic risk management.

2. Recruitment opportunities: Store expansion to 1,000 locations and partnerships with global brands create potential for attracting merchants.

3. Operations: AI pricing systems can be adopted for inventory and price management; profitability focus emphasizes operational efficiency enhancements.

Business models and strategic shifts offer research implications.

1. Business model: Overstock discounting (40% of inventory), combined with hard-discount tactics and global partnerships, provides a case study on sustainability and innovation.

2. Industry trends: Strategic shift from expansion to profitability, with regional contraction, reflects broader retail adjustments; funding history indicates capital favorability toward discount retail.

3. Policy implications: AI-driven expiration management invites research into regulatory frameworks for overstock goods; quantitative targets (120M+ users, ¥38B sales) offer measurable case studies.

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.

【亿邦原创】9月9日消息,HitGoo嗨特购宣布完成新一轮亿元级以上融资,将用于进一步加强供应链和技术体系建设。投资方未披露。

据悉,这已经是HitGoo嗨特购的第三轮融资,2021年HitGoo嗨特购完成Pre-A轮融资,投资方为险峰长青、StarVC、觉资投资、高榕创投、蓝图创投。2022年HitGoo嗨特购完成A轮融资,投资方为光点资本。

品牌集合折扣店HitGoo嗨特购成立于2021年1月,门店产品覆盖零食、日化、饮料酒水及美妆护肤等,以品牌尾货、临期?品、硬折扣等为主,与欧莱雅、雅诗·兰黛等国际大牌合作,提供折扣商品。门店主要分布在北京、上海、广州、深圳、成都、天津等城市。

公开信息显示,HitGoo嗨特购有40%的货品是尾货,尾货日期有3个月过期、6个月过期、一年过期不等,这些货品配送到不同门店后,由大模型智能定价,最终也会以不同的价格出售。

前不久,HitGoo嗨特购创始人张强在媒体活动上公开表示:“目前嗨特购门店为472家,到2024年底会达到1000家,未来三年,嗨特购覆盖用户数量将达1.2亿+,销售额实现380亿元。”

此外,值得关注的是,HitGoo嗨特购将以扩张为核心转向以盈利为核心。张强透露,“我们会在京津冀、山东等北方市场不断加强,其余的地方会慢慢进行收缩。”

亿邦持续追踪报道该情报,如想了解更多与本文相关信息,请扫码关注作者微信。

文章来源:亿邦动力

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