Chen Zengli
JD.com
Senior Experience Designer
Head of experience design for JD Super Products and government consumer vouchers, leading the design of core marketing vertical activities on platforms such as 618, Double 11, Double 12, and New Year's Festival. Focusing on the research and application of AI in the field of e-commerce, continuously formulating human-machine workflows and design strategies to achieve two-way improvement in efficiency and effect, and help the growth of platform business marketing. 2024 Industry-Research Star Award, 2023 Struggle Award. Served as an off-campus graduate tutor at the School of Design, Sichuan Normal University, and was invited many times to give AI-themed public welfare lectures for college teachers and students, actively promoting school-enterprise exchanges and industry-research-university cooperation. Advocate that all industries are worth redoing with AI.
With the rapid development of AI technology and the restructuring of consumption structure, the experience tension between platforms, brands and users is becoming increasingly complex. The traditional e-commerce design paradigm is difficult to support the rapid evolution and diversified expression of business strategies. Super marketing experience venues such as JD Super Products and JD New Products not only carry marketing functions, but also connect brand awareness and user perception. Designers are required to stimulate click-through rate and brand growth momentum with more diverse, novel and emotionally penetrating new experience forms, so as to promote the healthy development of JD e-commerce ecology.
This workshop will systematically explain how to reshape experience strategies and business increments through human-machine collaboration in the AI era, focusing on four aspects: roles, problems, solutions and ecology. Among them, we will start with three phased AI practices: 1.0 Government consumption vouchers-product effect collaborative design, 2.0 JD new products-"new" perception expression system construction, 3.0 JD super products-"big brand feeling" visual system strategy translation, dismantling how we use design thinking as a framework and AI capabilities as an engine in real business challenges, from problem identification, technical trial run, expression tuning, effect verification to standardized workflow construction, to form a human-machine collaborative design strategy with mass productivity and high-quality aesthetics.
The sharing content is as follows:
I. Role Refactoring - The Breakthrough Path for Designers in the AI Era
1.1 From Executor to Strategy Constructor: Reshaping the Cognitive System
1.2 From Single Point Output to Intelligent Collaborative Ecology: Changes in Delivery Methods
1.3 New Design Capability Model under Human Computer Collaboration
II. Experience challenge - how to accurately identify fault problems and strategies
2.1 User perception threshold soars under content explosion
2.2 Brand cognition deviation under multi-touch distribution
2.3 Experience guidance is out of touch with user purchase motivation
2.4 Traditional e-commerce design cannot match the technology rhythm
III. Practical analysis - how to use AI to stimulate experience expression and business increment
3.1 1.0 Government consumption voucher - product effect collaborative design
3.2 2.0 JD new product - "new" perception expression
3.3 3.0 JD super product - business increment improvement
IV. Future thinking - AI spawns a new growth path for e-commerce experience
4.1 The experience system shifts from content accumulation to intelligent operation
4.2 Brand experience assets become continuously optimized intelligent entities
4.3 User experience becomes the core indicator of platform ecosystem governance
In the AI-driven intelligent era, designers need to reshape cognition, keep up with AI technology trends, gain insight into problems from strategies, build a method framework in human-machine collaboration, and redefine long-term value in the e-commerce experience ecosystem. Real and sustainable growth does not rely on faster content production, but on deeper experience understanding and more accurate system creation.
1、Speaker and team introduction
2、JD AI project case detailed explanation
3、The group sets up virtual AI practice topics
4、Group practice results and thinking sharing
5、Q&A free exchange
1、Junior/Intermediate Interaction Designer
2、Junior/Intermediate Experience Designer
3、Beginner/Intermediate Visual Designer
4、AI-related industry practitioners
5、AIGC content creators, anyone interested in AI
1、Understand the AIGC practical workflow and methods of billion-level marketing activities
2、Understand how to achieve the reconstruction of experience design strategy under human-machine collaboration
3、Understand how to leverage e-commerce and brand business growth strategies through AI content
4、Learn how to use AI to drive business "efficiency" + "effect" to improve both sides
2.0 JD New Products - "New" Expression
Product-effect human-machine collaboration
1.0 Government consumption vouchers-improvement of product effectiveness
JD AI design-driven panorama
Brand Commercialization Layered Strategy
3.0 JD Super Products - Business Growth
“New” expression experience strategy