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Recently, the themed salon Insight into AI · Empowering Growth hosted by Burgeon came to a successful conclusion. Focusing on cutting-edge transformations in retail digitalization, the salon gathered senior industry experts and ecological partners to conduct in-depth analysis of AI application directions. Discussions spanned UnionStar enabling automated closed loops across the full business chain with AI, new traffic strategies unlocked by brand AI visibility, reconstructed terminal sales scenarios powered by AI·POS, and the construction of a global AI model integration and management platform to multiply technical efficiency. Participants exchanged inspiring ideas amid a cozy tea session, covering growth scenarios throughout the entire retail business chain in an all-round manner.
The event featured extensive practical insights. Multiple distinguished speakers delivered highly actionable real-case presentations centered on their respective specialized fields.
Li Hao, Director of the Solution Department at Burgeon, delivered a presentation titled UnionStar: Enabling Automated Business Closed Loops Powered by AI. He illustrated the phased implementation logic of UnionStar and targeted core pain points in retail AI scenario deployment, presenting a progressive full-link digital solution.
UnionStar improves daily employee efficiency by automatically handling trivial work such as email classification and invoice reimbursement, greatly reducing basic operational time. It further serves as a professional business assistant, supporting conversational inventory inquiries and intelligent product recommendations to simplify daily operations. The platform builds in-system business closed loops and realizes cross-module collaboration, and ultimately achieves cross-system omnichannel campaign configuration, data aggregation and performance review to support overall enterprise management.
Centering on natural language interaction and cross-system collaboration, UnionStar fits practical retail scenarios while ensuring data security and usability. With in-depth industry experience in retail, Burgeon enables AI to be fully embedded into business workflows, helping retail enterprises achieve efficient digital and intelligent upgrading.

Zang Haoquan, Senior Marketing Expert of Youzan’s "Jiawo Referral Ambassador", delivered a presentation titled Brand AI Visibility: Getting AI to Recommend Your Products – Principles, Practices and Cases. Focusing on traffic dividends brought by AI search, he unpacked actionable customer acquisition paths for brands.
Mr. Zang elaborated on a five-stage closed-loop workflow. First, conduct in-depth research on users’ AI search queries and investigate recommendation status of the brand and its competitors. Second, set operational priorities and unify brand communication across all channels. Third, build a standardized knowledge base and create content aligned with the preferences of large language models. Fourth, select high-weight platforms for layout and maintain regular content updates. Finally, continuously monitor AI exposure rankings, benchmark competitor dynamics and dynamically optimize operational strategies.
This highly practical system helps retail brands seize AI recommendation traffic and establish brand-new low-cost customer acquisition channels.

Facing the common industry dilemmas of saturated traffic, intensified market competition and shrinking profit margins in the retail sector, Huai Yang, General Manager of the Retail Platform Department at Burgeon, shared the topic AI·POS: Spearheading Sales Innovation with Intelligence, illustrating how AI technology reshapes the implementation path of physical store terminals.
Equipped with core capabilities including voice interaction, intelligent product recommendation and real-time business data analysis, the new-generation AI·POS frees shopping guides from repetitive mechanical work such as inventory checking and document entry. It allows store staff to focus on refined, high-value customer services, achieving dual improvements in transaction conversion rates and customer repurchase loyalty.
Mr. Huai stated in his sharing that AI has evolved beyond a mere cost reduction and efficiency improvement tool, growing into an intelligent brain that drives in-store operations. As the core carrier of this concept, AI·POS leverages full-process data closed-loop capabilities to quantify, trace, iteratively optimize every in-store sales behavior.

Kong Fansong, Director of the Ecological Operation Department at Burgeon, delivered the closing keynote titled Burgeon ModelHub: Global AI Model Integration and Management Platform, offering solutions from two dimensions: underlying technical infrastructure and in-store practical implementation.
Burgeon ModelHub significantly reduces the technical costs and development thresholds for retail enterprises to access diverse AI capabilities, enabling intensive management of technical resources and maximizing application efficiency. Built on this robust technical foundation, Burgeon has launched the AI Smart Employee Badge solution. Leveraging voice collection, semantic parsing and LLM-powered intelligent analysis, it realizes digital management of the entire in-store operation chain. The solution accurately quantifies shopping guide service behaviors, verifies in-store SOP compliance in real time, provides on-site standardized sales pitches, and conducts periodic reviews of staff performance. It efficiently extracts practical experience from top sales performers and transforms it into reusable standardized corporate assets.

Integrating cutting-edge technology presentations and immersive tea discussions, the salon fully covered business scenarios including back-office efficiency improvement, terminal sales conversion, AI-powered omnichannel customer acquisition and organizational digital development, sharing abundant actionable and replicable practical experience for retail AI transformation.
Going forward, driven by AI as its engine, Burgeon will continue to explore retail scenarios alongside ecological partners, redefine growth boundaries via technology, help more retail enterprises seize new opportunities in the intelligent era, and jointly usher in a new chapter of high-quality growth.
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