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

Recently, the Shanghai stop of the "Insight into AI · Lead Growth Intelligently" themed salon on AI‑Empowered Retail, hosted by Burgeon , concluded successfully. Centered on cutting‑edge digital transformation of the retail industry in the AI era, the salon brought together numerous senior experts, brand founders and ecosystem partners. Participants held in‑depth discussions on scenario‑based implementation of AI technologies across the full retail business chain. They delivered a set of forward‑looking and practical performance‑growth solutions for local retail brands, and built an efficient communication bridge for experience‑sharing and joint exploration of intelligent transformation.

Addressing the pain points of difficult AI implementation for retail enterprises, Li Hao, Director of the Solution Department at Burgeon , delivered a speech titled UnionStar: Enabling Automatic Business Closed‑Loop with AI. He elaborated on the platform’s phased, multi‑layer implementation logic. Centered on natural‑language interaction and cross‑system collaboration, UnionStar balances data security and user‑friendliness, delivering an end‑to‑end digital solution for enterprises with progressive adoption paths. It starts with automating routine tasks such as email sorting and invoice reimbursement to significantly free up manpower. It then evolves into a junior business assistant supporting voice‑driven inventory queries and intelligent product recommendations. Next, it enables multi‑module collaboration within single systems. Ultimately, it realizes cross‑system omnichannel campaign configuration, data aggregation and review. This embeds AI deeply into business workflows to support overall corporate operations.

Huai Yang, General Manager of the Retail Platform Department at Burgeon , emphasized in his presentation AI‑POS: Leading the Innovation of Retail Sales that AI has gone beyond being a mere cost‑saving and efficiency‑boosting tool, and evolved into an intelligent brain driving omnichannel store operations. AI‑POS serves as the core carrier to materialize this concept. The new‑generation AI‑enabled smart POS integrates core capabilities including voice interaction, intelligent matching‑driven product recommendations and real‑time business data analysis. It frees shopping guides from repetitive work such as inventory verification and document entry, allowing them to focus on high‑value customer services. Supported by an end‑to‑end data closed‑loop system, every in‑store sales activity can be quantified, traced and optimized. This drives store‑front operations to shift comprehensively from traditional experience‑based judgment to data‑driven scientific decision‑making, and delivers dual improvements in transaction conversion rate and customer repurchase loyalty.

Against the backdrop of structural bubbles and unsatisfactory real‑world outcomes across the AI industry, Yan Wei, Co‑President of Burgeon , pointed out candidly in his sharing How One Employee Drives RMB 1 Billion GMV with AI‑Powered Private Domain Practices that successful enterprise AI implementation must focus on segmented business scenarios with clear and quantifiable input‑output targets. He noted that conventional human teams struggle to handle massive volumes of private‑domain inquiries. In contrast, enterprise‑specific AI agents are perfectly capable of handling the full workflow of omnichannel private‑domain communication, user activation and marketing conversion. AI agents can consistently deliver standardized yet human‑oriented services, independently accumulate high‑quality conversation insights for continuous iteration. With only minimal human follow‑up for high‑value customers, businesses can achieve cost reduction, efficiency gains and substantial revenue growth in private‑domain operations.

Ji Zhenyu, Vice President of Burgeon , delivered a speech titled How to Reinvent People‑Goods‑Scenarios with AI: From Operational Efficiency to Revenue Growth. He conducted an in‑depth analysis of core pain points for physical stores, including disconnected operational data, difficulties in replicating top‑performing sales associates’ experience, and opaque operational process supervision. Drawing on Burgeon’s profound data insights accumulated from over 500,000 stores worldwide, its integrated AI store solution realizes digital management across the full store‑operation chain via voice capture, semantic parsing and LLM‑powered intelligent analysis. The solution can accurately quantify sales associate performance, verify SOP implementation standards in real‑time, and provide on‑demand standardized scripts. It also efficiently distills practical experience from top sales performers and turns it into reusable standardized corporate assets. Already deployed across multiple business categories, the solution helps brands move beyond intuition‑based management and greatly improve front‑line workforce efficiency.

Packed with practical insights, the salon comprehensively covered full‑spectrum retail scenarios including back‑office efficiency improvement, in‑store conversion, omnichannel customer acquisition and organizational digital transformation, and delivered plenty of actionable and reusable practical methodologies for AI‑driven transformation. Looking ahead, Burgeon  will continue to take AI as its core growth engine and collaborate with ecosystem partners from all sectors to deepen its presence in niche retail segments. By reshaping growth boundaries through technology, Burgeon  will support retail enterprises to fully capture dividends brought by the intelligent‑transformation era, and jointly open a new chapter of high‑quality and sustainable development.