Meiwu Technology Company Limited (NASDAQ: WNW) announced the launch of an AI‑driven insights platform designed to streamline research collaboration and accelerate product development across its skincare business. The platform will use machine‑learning algorithms to organize and evaluate formulation records, ingredient studies, and scientific literature, enabling faster identification of promising development directions.
The new system will standardize data sharing and analysis, improving coordination between internal teams and external research partners. By automating the review of technical materials and uncovering potential ingredient interactions, the platform is expected to shorten the product development cycle and reduce time‑to‑market for Meiwu’s expanding skincare portfolio.
The initiative follows a July 2025–June 2026 partnership with Shenzhen Zhinuo Weichuang Technology, which provides AI‑driven marketing analytics. The partnership, valued at an upfront fee of RMB 1 million and monthly fees of RMB 200 000, complements the R&D effort and underscores Meiwu’s commitment to data‑centric innovation. The company’s pivot to skincare comes at a time when China’s skincare market is projected to grow from RMB 461.9 billion in 2024 to RMB 698.5 billion by 2029, a CAGR of 8.6%.
Meiwu’s financial profile remains challenging, with a recent decline in revenue growth of 90.5% and a negative operating margin of 105.65%. Nevertheless, the company maintains strong liquidity, a current ratio of 27.98, and no long‑term debt. The firm has also regained compliance with Nasdaq’s minimum bid‑price requirement, a critical step for its continued listing. Investors responded positively to the announcement, reflecting confidence in the company’s strategic shift and its embrace of AI to drive efficiency and innovation.
Chief Executive Officer Zhichao Yang said, “AI‑assisted analytical tools are increasingly being used across many research‑driven industries to help teams manage complex datasets and streamline internal workflows. By exploring these technologies within our research processes, we aim to enhance coordination between internal teams and external research partners, while supporting more efficient evaluation of formulation data and ingredient research.”
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