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LLM-Powered Customer Shopping AI Service Product 🤖️
“How can we alleviate anxiety during supply shortages and foster a positive mindset while awaiting customer service responses during COVID, to ensure the smooth operation of daily goods transactions?”
Problem
Citi Bank's client usage dashboard had poor user engagement and unactionable data charts due to a lack of visual hierarchy, causing users to struggle with accessing and interpreting data effectively.
My Role
User Experience Designer
Solution & Impact
I redesigned the dashboard by implementing a clear visual and structural hierarchy, categorized data based on business KPIs, and optimized notification timing using user behavior data. This improved decision-making, increased client engagement rates, and enhanced overall user satisfaction, leading to more actionable insights and a fast decision-making time.
Scope
I worked in a design contract role, collaborating with Citi Bank teams in both Shanghai and New York. The original plan was to become a full-time employee after one year, but I left after six months to attend Northeastern University.
Project Type
AI & Mobile & Web & B2C
Year
2020-2021 (full time)
Company
Alibaba
My Role
Interactive Designer & Researcher
Deliverables
Quant & Qual Research Documents, Affinity Map, Wireframes, Hi-Prototypes,
User Testing Documents, Graphics
Team Members
1 PM, 2 Algorithm Developers，8 Engineers, 1 Researcher Lead
What's
Taobao is China's Amazon, offering a similar e-commerce experience.
In 2022, it had
131 million
Active Consumers
> 10 million
Business Stores
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Create AI System
AI Shopping System is a feature in Taobao that assists customers with daily shopping queries.
AI Product Life Cycle
From Design Work
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