On April 28, 2025, Professor Yang Qiulin invited Dr. Mao Huiqiang to deliver an exciting, themed lecture titled “Retail Tech in the Age of AI” for faculty and students. Dr. Mao has many years of experience in data algorithm product development for the retail industry, covering digital and intelligent solutions in retail and e-commerce scenarios, including data platforms, intelligent marketing, and smart supply chains.

Figure2 Dr. Mao Huiqiang presenting on retail transformation

At the beginning of the lecture, Dr. Mao reviewed the development journey from traditional department stores and supermarkets to the era of new retail, pointing out that the retail industry has always been driven by technological transformation, constantly improving the efficiency of connections among products, users, and scenarios. He emphasized that the current wave of transformation centers on the deep integration of data and artificial intelligence.

Focusing on the practical implementation of “AI + Retail,” Dr. Mao outlined a wide range of intelligent technologies used in store operations: from online traffic generation and personalized recommendations to smart shelves, automated replenishment, dynamic pricing, and user feedback collection as well as omnichannel operation management. Through these systems, companies can significantly reduce costs, enhance user experience, and achieve a comprehensive digital and intelligent upgrade. During the lecture, students also raised questions to Dr. Mao regarding pricing strategies.

Figure3 Dr. Mao presenting common AI large models

Dr. Mao engaged the audience by showing various AI brand logos, sparking students’ thinking about the integration of AI models and industry applications. He stressed that while understanding the technical principles is essential, understanding industry logic and gaining insights into scenario value are critical abilities for young student to thrive in the future digital society.

Figure4 Group photo

This lecture not only broadened students’ understanding of artificial intelligence applications but also highlighted the immense potential of combining technology with business. Attendees expressed that they gained valuable insights and a deeper understanding of how AI technologies are implemented across different industries.

Shenzhen Technology University Business School will continue to promote deep integration between academia and industry, providing students with more growth platforms oriented toward the future.

Pictures and test: Jiang Kaiqi

Review: Yang Qiulin