Use AI to Stimulate Business Growth and Brand Imagination
Speaker
  • Chen Zengli 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.

Use AI to Stimulate Business Growth and Brand Imagination

2208Thumbs Up
Session A2
Meeting room 301B
Time 10/31 09:00-12:00
Type Workshop
Language Mandarin
Direction 体验设计
keynote content
Content Introduction

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.

Structure and Agenda

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

Target Audience

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

Participants Benefit

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

Work Case
  • 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
Guess You Like
  • 2.0 JD New Products - "New" Expression 17
  • Product-effect human-machine collaboration 27
  • 1.0 Government consumption vouchers-improvement of product effectiveness 37
  • JD AI design-driven panorama 47
  • Brand Commercialization Layered Strategy 57
  • 3.0 JD Super Products - Business Growth 67
  • “New” expression experience strategy 77
联系客服 立即参会 立即申请 立即申请
官方公众号×
添加IXDC官方微信,可以直接在线沟通 公众号ID:ixdcorg

长按识别二维码添加微信公众号

复制公众号ID长按二维码保存图片