从潮玩到“数字生命”：奇妙啦比借京东渠道卡位AI消费硬件新品类

This article covers the latest development of the emerging AI designer toy category and key details of the strategic partnership between new brand Qimiaolabi and JD.com. Key takeaways are as follows:

1. Brand and product overview: Founded in 2025, Qimiaolabi is an emotion-tech designer toy brand that integrates AI and design. It follows a core product strategy of "designer toy first, AI second" to carve out a differentiated position in the new AI designer toy category, separating itself from generic AI toys by emphasizing trendy aesthetics, IP personality, and collectible value. Its first product has shipped nearly 10,000 units in its cold launch, with offline presence in more than 70 Chinese cities and a single-digit return rate. Its new product "Space-Time Telephone Bureau" allows users to create exclusive digital beings, conduct real-time emotional conversations, and compile and print conversation records into personal memoirs.

2. Partnership details: Qimiaolabi's new product is exclusively available for pre-order on JD.com, and the collaboration has been included in JD's key AI smart hardware project. The two parties have a clear division of labor: JD provides traffic, supply chain, and omni-channel support, while Qimiaolabi contributes its IP and technology. They will jointly expand into the North American market, with Qimiaolabi projecting 50,000 units in overseas sales this year.

This article shares the latest trends in the AI consumer track and actionable insights for brand building and channel cooperation, summarized below:

1. Consumer and competitive trends: AI is reshaping the product logic of consumer hardware and has entered the designer toy sector. The widespread adoption of large models has lowered the technical barrier for AI hardware, shifting industry competition from competing on parameters and basic functions to a comprehensive race across product form, interactive experience, content ecosystem, and IP operation. Currently, the sector lacks market-validated product logic and sustainable business models.

2. Brand positioning reference: Qimiaolabi has carved out a niche in the AI designer toy category with a "designer toy first, AI second" positioning, highlighting trendy aesthetics, collectible value, and distinct IP personality to differentiate itself from generic AI companion toys. The strategy has worked: it has secured angel funding, and its first product has received strong market feedback.

3. Channel and monetization reference: Deep partnerships with leading e-commerce platforms provide end-to-end support including traffic, user insights, supply chain, offline scenarios, and overseas access, enabling brands to expand diversified revenue streams beyond hardware sales. Additional revenue can come from membership subscriptions, content payments, IP collaborations, and voice cloning, extending revenue over the product lifecycle.

This article outlines new growth opportunities, cooperation directions, and practical insights for sellers in the AI consumer space, as summarized below:

1. New growth market opportunity: AI + designer toys is an emerging blue ocean in the AI consumer hardware track, with proven user demand. Qimiaolabi's first product shipped nearly 10,000 units in cold launch with a single-digit return rate, indicating strong user acceptance of AI designer toys that combine emotional value and IP attributes, leaving massive room for market growth.

2. Cooperation and policy opportunities: JD is accelerating its布局 in the AI smart hardware sector. It has launched the "JD Mecha Alliance" IP to connect end-to-end links, and its JoyInside program targets connecting over 10 million terminals by 2026, with partnerships already established with over 200 hardware brands. JD opens up multiple forms of support for AI hardware brands, including traffic, supply chain, offline experience scenarios, and overseas distribution channels, which sellers can leverage through relevant cooperation.

3. Business model opportunities: Sellers can adopt a product system of "core hardware + character variations + accessory ecosystem + collectible peripherals + content updates" to expand diversified revenue streams such as membership subscriptions, content payments, voice cloning, and IP collaborations, boosting total lifetime revenue per product. Sellers can also布局 early for expansion into the North American market to capture first-mover advantage from the new category's overseas growth.

This article outlines shifting production demand, new business opportunities, and transformation directions for AI hardware factories, summarized as follows:

1. Changes in product design and production demand: The widespread adoption of large models has lowered the technical barrier for AI consumer hardware, shifting industry competition to product form, appearance design, interactive experience, and IP supporting development. Factories need to adjust their production focus and upgrade capabilities in customized appearance craftsmanship, IP-aligned accessory production, and interactive structure R&D to meet the requirements of emerging categories such as AI designer toys, which require both collectible attributes and emotional interactive functions.

2. New business opportunities: As a leading player in the emerging AI designer toy category, Qimiaolabi has secured tens of millions of RMB in angel funding, formed a deep strategic partnership with JD, and launched a North American expansion plan, projecting 50,000 units in overseas sales this year. With its offline footprint already covering more than 70 cities in China, the brand will have consistent, sustained order demand going forward. Factories can partner with relevant brands to capture order share in this new track.

3. Insights for digital transformation: Emerging AI brands require a complete commercial pathway from cold launch to scaling. Factories can leverage leading platforms' digital capabilities and channel resources to advance their own e-commerce and digital transformation, connect with more order demand from emerging brands, and unlock new growth.

This article covers the latest trends in the AI consumer hardware industry, core customer pain points, and new service opportunities, summarized as follows:

1. New industry trends: AI is reshaping the product logic of consumer hardware, and traditional designer toys are integrating AI technology to give rise to the entirely new subcategory of AI designer toys. The competitive logic of AI consumer hardware has shifted from competing on technical parameters to comprehensive competition across product form, content ecosystem, and IP operation. The entire industry is pushing for standardization of the new AI designer toy category, creating large market growth potential and strong demand for professional services.

2. Core industry pain points: The AI consumer hardware track currently has no shortage of basic large model technology, but it lacks market-validated product logic and sustainable business models. Emerging AI brands lack a complete commercial pathway from new product cold launch to scaled sales, while e-commerce platforms lack scalable, replicable differentiated AI consumer product offerings. These pain points create demand for solutions from professional service providers.

3. New service opportunities: Service providers can develop targeted offerings for the emerging AI designer toy category, including IP development, digital being technology implementation, supply chain support, content operation, and overseas compliance. These offerings align with the core needs of brands and platforms, allowing providers to expand their business scope and capture industry growth from the rise of this new category.

This article outlines JD's latest布局 in AI smart hardware and provides operational and strategic references for peer platforms, summarized as follows:

1. Core merchant demands for platforms: Emerging AI consumer brands, especially those in new categories, need platforms to provide a complete commercial pathway from new product cold launch to scaled sales, including multi-dimensional support such as traffic allocation, user insights, supply chain fulfillment, offline experience scenarios, and overseas distribution channels to help new categories complete market education and scaled adoption.

2. Strategic layout reference: JD is accelerating its布局 in AI smart hardware. It has launched "JD Mecha Alliance", the industry's first embodied robot idol group IP that connects the entire commercial chain from R&D to after-sales service. It also launched the JoyInside program, which targets connecting over 10 million terminals by 2026 and has already partnered with over 200 hardware brands. By partnering deeply with differentiated brands to co-define new category standards, platforms can enrich their supply of differentiated product categories.

3. Operational and risk notes: Platforms can partner with brands to unlock diversified revenue streams beyond hardware sales commissions, such as membership subscriptions, content payments, and IP collaborations. They can also leverage their channel advantages to help brands expand overseas, extending the platform's business scope. At the same time, platforms should mitigate risks stemming from the lack of standardized products in the AI hardware category, and work with brands to complete market validation for new categories.

This article documents the latest industry developments in AI consumer hardware and provides high-value reference for industry research, summarized as follows:

1. New industry developments: AI technology has penetrated the traditional designer toy sector, giving rise to the entirely new subcategory of "AI designer toys". Following the widespread adoption of large model technology, the competitive logic of AI consumer hardware has fundamentally changed: the industry has shifted from early competition on technical parameters to comprehensive competition across product design, interactive experience, content ecosystem, and IP operation. Leading e-commerce platforms have started participating in new category standard-setting, partnering with brands to co-incubate emerging categories.

2. New emerging industry challenges: While basic large model technology is abundant in the AI consumer hardware track, the industry as a whole lacks product logic and sustainable business models that have been repeatedly validated by the market. Emerging brands lack a complete commercial pathway from new product cold launch to scaled sales, while platforms lack scalable, replicable differentiated AI consumer product offerings.

3. New business model exploration: The industry is currently exploring an entirely new "hardware + IP + content + ecosystem" business model, where diversified revenue streams allow total lifetime revenue per product to far outpace the hardware's upfront selling price. The cooperation model—brands contribute products and technology, while platforms contribute channels and resources, and the two parties work together to define everything from product standards to consumer perception for the new category—also provides a new research sample for new category incubation.