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

Recently, the Shijiazhuang stop of the themed salon “Insight into AI · Lead Growth with Intelligence”, hosted by Burgeon Technology, came to a successful conclusion. Centering on the cutting-edge transformation trends of AI digitalization within the retail industry, the event brought together senior retail digitalization experts, brand founders and industrial ecosystem partners, who conducted in-depth discussions on the scenario-based implementation paths of AI technologies across the full business chain of retail.

The on-site sharing delivered progressive practical insights covering key topics such as the construction of operational closed loops and the digital transformation of offline terminals, providing regional retail brands with forward-looking and readily implementable solutions to drive revenue growth. The salon also built an efficient platform for industry exchanges, enabling local retail enterprises to share experience, jointly explore new avenues for intelligent transformation, and achieve co-creation and win-win results for the whole industry.

Ma Ming, Regional Director of Burgeon Technology, took the stage to deliver a speech. He first extended sincere gratitude to long-term clients with over a decade of partnership and new partners present, thanking them for taking time out of their schedules to attend, and wished everyone fruitful takeaways from the industry sharing session.

Drawing on corporate implementation practices, Mr. Ma shared insights into AI applications, noting that the industrial value of AI in cutting costs and boosting efficiency is gradually emerging. He stated that the event aims to jointly explore paths for the in-depth implementation of AI in the retail sector. By leveraging intelligent technologies to help retail enterprises improve quality and raise efficiency, Burgeon supports brands in gaining an edge amid industry competition.

Li Hao, Director of the Solution Department at Burgeon Technology, delivered a presentation titled UnionStar: Enabling Automated Business Closed Loops Powered by AI. He elaborated on the phased implementation logic of the platform, addressed prominent pain points concerning 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, greatly cutting down time spent on basic work. It then evolves into a junior business assistant, enabling voice-based inventory inquiries and intelligent cross-selling recommendations to streamline business operations. At the next stage, it builds business closed loops within individual systems and facilitates coordination across multiple business modules. Ultimately, it spans diverse systems to support omnichannel campaign configuration, data aggregation and performance review, underpinning overall corporate operations.

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

Ji Zhenyu, Vice President of Burgeon Technology, delivered a presentation titled How to Reconstruct People-Goods-Store with AI: From Operational Efficiency Improvement to Revenue Growth, unpacking practical implementation paths for AI to resolve operational challenges faced by physical stores.

He pointed out that physical retail stores generally suffer from core pain points including fragmented operational data, difficulty scaling the experience of top sales associates, and opaque management of in-store workflows, which continuously hinder improvements in terminal operational efficiency.

To tackle these prevalent industry challenges, Burgeon has built an integrated full-link AI store solution. Leveraging voice capture, semantic analysis and LLM intelligent analytics, the platform forms a complete digital operational closed loop for physical stores. The system quantifies the full-service behaviors of shopping guides, tracks the execution of standard operating procedures in real time, and generates scenario-adaptable sales scripts instantly. In addition, it archives the proven sales expertise of outstanding associates into standardized, reusable corporate assets.

Validated through deployments across multiple retail categories, this solution helps brands move away from conventional experience-based management toward data-driven refined operations. It substantially unlocks workforce productivity at store terminals and delivers steady, predictable revenue growth for physical outlets.

Wu Yuzhou, Product Architect of Tencent Qidian Marketing Cloud, delivered a presentation themed AI Empowers Omnichannel Operations and Reshapes New Growth for Retail Marketing.

He stated that as traffic dividends fade and customer acquisition costs rise within the retail sector, industry operation logic is shifting from public domain traffic advertising to long-term operation of private domain user assets. Enterprises implementing private domain operations commonly confront four core pain points: fragmented omnichannel data, high labor costs for refined marketing, disconnection between online and offline marketing, and difficulties leveraging data to support intelligent decision-making.

Built upon Tencent WeChat’s social ecosystem, Qidian Marketing Cloud delivers integrated, scenario-oriented and intelligent solutions. It unifies omnichannel user data and builds user portraits via CDP, and cooperates with Marketing Automation (MA) to achieve targeted multi-tiered user engagement. The platform connects ad placement, private domain operations and in-store transactions to form a growth closed loop. Powered by Tencent’s full-stack large AI model capabilities, the platform drives the iteration and upgrading of marketing models, evolving from tool-assisted operations into a new phase led by AI with human supervision. It significantly liberates operational manpower, enables retail brands to tap into long-term user value at lower costs, and realizes cost reduction, efficiency improvement and sustained revenue growth.

Huai Yang, General Manager of the Retail Platform Department at Burgeon Technology, delivered a presentation titled AI·POS: Leading Sales Innovation with Intelligence. He thoroughly dissected a complete implementation solution for reshaping offline store terminals via AI technology.

The new-generation AI smart POS integrates core capabilities such as voice interaction, intelligent merchandise matching and recommendation, and real-time operational data analysis. It greatly relieves sales associates of repetitive work including inventory verification and document entry, allowing them to concentrate on refined customer service, while lifting store transaction conversion and user repurchase loyalty simultaneously.

Mr. Huai proposed that AI is far more than an auxiliary tool simply for cost reduction and efficiency gains; it serves as an intelligent hub driving omnichannel store operations, and AI·POS acts as the core carrier to put this vision into practice. Backed by an end-to-end data closed-loop system, all in-store sales activities can be quantified, traced and continuously optimized iteratively. This facilitates the shift of brand terminal operation models from traditional experience-based judgment to data-driven scientific decision-making, and delivers sustained empowerment for the long-term growth of physical retail stores.

Yan Wei, Co-President of Burgeon Technology, delivered a keynote speech titled How One Employee Drives RMB 1 Billion GMV – Practical Sharing on AI-powered Private Domain Operations.

He analyzed that structural bubbles exist within the current AI industry. The rollout of AI in China’s retail sector generally yields unsatisfactory results, with most projects failing to generate tangible business returns. For enterprises to achieve successful AI implementation, they must focus on segmented business scenarios and define quantifiable input-output targets.

Drawing on practical private domain operation experience, Mr. Yan shared corresponding solutions. Conventional human teams have limited reception capacity and struggle to handle massive volumes of inquiries from private domain users. In contrast, enterprise-specific AI Agents are capable of undertaking full-link work covering omnichannel private domain communication, user activation and marketing conversion. They consistently deliver standardized yet humanized services, autonomously accumulate high-quality dialogue experience for continuous iterative optimization, and only require minimal human follow-up for high-value customers.

Meng Wei, Founder of Shanghai Zhijian Information Technology Co., Ltd., delivered a presentation titled Empowering Retail: From Digital Employees to Performance Growth. Based on years of industry practice, he pointed out that B2B enterprises impose strict requirements on AI in terms of data accuracy, security compliance, and traceable auditing. In 2026, AI has been deeply adapted to full corporate roles and can be implemented to deliver quantifiable business value.

Mr. Meng stated that the core growth pain points in retail lie in difficult implementation of in-store operational strategies and inconsistent execution efficiency across outlets. Rather than merely serving as office assistants, digital employees are deeply integrated into the full lifecycle of customer operations. By dissecting store profitability through single-customer and single-store business models and conducting operational attribution analysis based on five core indicators, digital employees form a full-process closed loop covering operational insight, strategy output, automated execution, and result review. This resolves the problem of insufficient terminal execution, fully taps the value of customer assets, steadily improves key store metrics including repurchase rate and customer unit price, and drives sustainable performance growth for retail enterprises.

Zhang Xizhi, Chief Consultant of Lantuzhice Footwear & Apparel Consulting, delivered a sharing titled Agent Empowerment via the Shortest Path: Building a Dual-engine Closed Loop for Corporate Cost Reduction and Efficiency Improvement.

He pointed out that the core bottleneck of retail digital transformation lies not in the lack of AI tools, but in the absence of underlying business knowledge bases tailored to corporate operations. The industry is generally plagued by fragmented data, business experience retained only by individual employees, and difficulty in standardizing and replicating business processes — all of which prevent AI from being deeply embedded in real business scenarios and delivering practical value.

Enterprises need to build hierarchical private domain knowledge bases covering basic data, business workflows, operational indicators, case reviews and decision-making methodologies. This scatters individual operational experience into precipitable, reusable organizational assets and builds exclusive business context for enterprise AI Agents.

Adopting the collaborative logic of knowledge base experience accumulation plus Agent intelligent execution, enterprises can establish a full-link operational closed loop through sorting knowledge assets, building standardized knowledge systems, training business agents, and implementing scenario-based iterations. By prioritizing the construction of minimum viable business closed loops before expanding full operational chains, enterprises can build a dual AI operation engine that delivers both cost reduction and efficiency improvement. This realizes standardized business operations, replicable in-store experience, and sustainable performance growth for retail brands.

Here is the polished, official English version consistent with your whole press release style:

The salon integrated cutting-edge technical sharing with in-depth immersive exchanges, covering the full spectrum of retail business scenarios, including back-office operational efficiency improvement, offline store conversion, AI-powered omnichannel private-domain customer acquisition, and enterprise digital organizational construction. It delivered a wealth of practical, implementable and reusable methodologies for AI-driven transformation, building an efficient communication hub for regional retail brands to share resources and achieve co-creation and win-win development.

Looking ahead, Burgeon Technology will continue to take AI as the core growth engine. Together with ecological partners from all sectors, Burgeon will further explore segmented retail tracks, expand industrial growth boundaries through digital technologies, and empower retail enterprises to seize dividends from intelligent transformation. The company will join hands with industry players to embark on a new chapter of high-quality and sustainable development.