Unlock New Growth Potentials for AI-driven Retail | Burgeon AI Summit · Kunming Successfully Concludes

Recently, the Kunming stop of the themed salon Insight into AI · Empowering Growth hosted by Burgeon Technology successfully concluded. Focusing on cutting-edge transformation trends of the industry, the salon gathered senior specialists in retail digitalization, brand leaders and ecological partners to conduct in-depth discussions on scenario-based AI implementation across the full retail value chain.

The event featured a wealth of practical insights and progressive case sharing. Covering business closed loops and terminal innovation, it delivered forward-looking and actionable growth solutions for retail enterprises, and built an efficient platform for communication, co-creation and win-win results to advance the intelligent transformation of regional retail.

Zhang Jingliang, General Manager of Burgeon Yunnan, delivered a speech and extended a warm welcome to all retail industry guests present. He pointed out that the retail industry is facing intensified competition and mounting operational pressures. Meanwhile, AI is moving from concept to implementation and penetrating all scenarios of enterprise operations. What customers care about most is not technical jargon, but whether AI can deliver tangible business value, and future competition among enterprises will center on capabilities in AI application.

Burgeon aims to be a long-term partner for retail enterprises undergoing digital and AI-driven transformation. This salon strives to avoid empty technical discussions and focuses on how AI can effectively help enterprises cut costs, improve efficiency and boost profitability. Mr. Zhang looked forward to in-depth exchanges and joint exploration with all participants to discover practical approaches for AI to empower retail, helping the industry weather market cycles and achieve high-quality growth.

Ma Tian, Consulting Director of Burgeon, delivered a presentation titled UnionStar: Enabling Automated Business Closed Loops Powered by AI. She elaborated on the phased implementation logic of the platform, addressed the pain points of scenario-based AI deployment for retail enterprises, and introduced a progressive full-link digital solution.

UnionStar starts with boosting employees’ daily productivity by automatically handling trivial tasks such as email sorting and invoice reimbursement to greatly reduce time spent on routine work. It then evolves into a junior business assistant that supports conversational inventory inquiries and intelligent cross-selling recommendations to streamline operations. At the next stage, it forms business closed loops within individual systems and enables collaboration across multiple business modules. Ultimately, it operates across different systems to conduct omnichannel campaign configuration, data aggregation and performance review, underpinning overall enterprise operations.

Centered on natural language interaction and cross-system collaboration, UnionStar adapts to practical retail scenarios while balancing data security and ease of use. Drawing on profound experience accumulated in the retail sector, Burgeon seamlessly integrates AI into business workflows, empowering retail enterprises to accomplish digital and intelligent transformation efficiently.

Liu Shiqin, 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 in the era of AI search, she analyzed low-cost customer acquisition breakthrough strategies for retail brands.

She explained the core logic of GEO operation and introduced a five-stage closed-loop workflow. It begins with in-depth research on user AI search scenarios and an investigation into recommendation status of the brand and competitors. The next step is to set operational priorities and unify brand communication across all channels. Brands then build standardized knowledge bases aligned with large model preferences, select high-weight AI platforms for layout and maintain regular content updates. Finally, continuous monitoring of exposure rankings and benchmarking against competitor dynamics enables iterative optimization of strategies.

This practical and replicable methodology helps retail brands efficiently seize organic recommendation traffic from AI and establish brand-new low-cost customer acquisition channels tailored to the AI search era.

Ji Zhenyu, Vice President of Burgeon, delivered a presentation titled How AI Restructures People, Goods and Scenarios: From Operational Efficiency Improvement to Performance Growth, sharing practical approaches for AI to tackle operational pain points of offline stores. He pointed out that physical stores generally suffer from insufficient core data, difficulties in replicating shopping guides’ capabilities and opaque operation management, which have long hindered the improvement of terminal efficiency.

To address these industry challenges, Burgeon has launched a full-link AI store solution. Based on voice collection, semantic understanding and intelligent analysis powered by large models, it builds a digital closed loop for store operations. The solution can accurately quantify shopping guides’ behaviors, monitor the implementation of SOPs in real time, provide on-site sales script suggestions, and turn the experience of top-performing sales staff into reusable corporate assets. Having been successfully deployed in multiple industries, this solution helps brands move away from the traditional "intuition-based management" and enter a new phase of data-driven refined operation. It effectively lifts terminal staff productivity and delivers predictable revenue growth for physical stores.

Huai Yang, General Manager of the Retail Platform Department at Burgeon, delivered a presentation titled AI·POS: Spearheading Sales Innovation with Intelligence, elaborating on implementation solutions for reshaping physical store terminals via AI technology. The new-generation AI·POS features core capabilities including voice interaction, intelligent merchandise recommendation and real-time operational data analysis. It frees shopping guides from repetitive work such as inventory verification and document entry, enabling them to focus on refined services for high-value customers, and delivers simultaneous improvements in transaction conversion rate and customer repurchase loyalty.

Huai Yang noted in his sharing that AI has evolved beyond being a mere tool for cost reduction and efficiency improvement, growing into an "intelligent brain" driving store operations, with AI·POS acting as the core carrier to realize this vision. Supported by full-process data closed-loop capabilities, every sales activity in physical stores can be quantified, traced, optimized and iterated. It empowers brands to transform terminal operations from experience-driven to data-driven, injecting sustainable growth momentum into retail stores.

Integrating cutting-edge technology sharing and immersive exchanges, the salon covered full business scenarios including back-office efficiency enhancement, terminal sales conversion, AI-powered omnichannel customer acquisition and organizational digital development. It delivered abundant actionable and replicable practical experience for retail AI transformation, building an exchange platform for regional retail enterprises to connect efficiently, co-create and achieve win-win results.

Going forward, Burgeon Technology will continue to take AI as its core engine. Together with ecological partners, the company will delve into segmented retail scenarios, redefine the industry’s growth boundaries through technology, help more retail enterprises seize new opportunities in the intelligent era, and jointly open a new chapter of high-quality growth!