Shipped in 2024

AI Sommelier Chatbot

I made 1,000+ wines into easy picks, and grew sales 10% in 2 months

Timeline

Sep - Dec 2023

Role

UX Designer, Researcher

Team: UI Designer, UX Researcher, Front-End & Back-End Engineer, PM

Team: UI Designer, UX Researcher, Front-End & Back-End Engineer, PM

Platform

Mobile Web App

Stakeholder

CTO
Data Team Lead
Dev Team Lead

Top Challenge

Gemini was all new in 2023.
I had no AI experience, no wine knowledge,

and only 4 months to ship

User Pain

"I don't know where to start.
The 100+ bottles all look the same.
I can't tell the $6 bottle from the $20 one."

Customer feedback

74% of shoppers walk away when overwhelmed by choice.

Business Concern

The post-COVID market stopped growing.

Carrefour needed a new way to move bottles
— and they bet on AI

Growth collapsed from +8.5%/yr to 0% since 2020.
Carrefour needed to find a way to move bottles.

Solution

On-demand AI sommelier turns 100+ options into 1 confident pick.

Turns overwhelmed shoppers into confident buyers.

Step-by-step guidance inspired by sommeliers for confident wine choice

I turned sommelier questioning into simple guided choices, to empower customers with expert-level selection.

Number scales and profile snapshots make wine easily imaginable

Replaced jargon like 'tannic structure' with 1-5 scales and plain-language profiles shoppers can compare at a glance."

Food-pairing icons turned wine shopping into dinner planning

Mirrored recommendations to real meals, so customers pick by what they're eating, not by grape varieties they don't recognize.

Impact

Market momentum restored. Revenue climbing again.

+10%

revenue growth within 2 months

1st

Google Gemini chatbot in Taiwan retail

95%

Users added wine to cart in ≤3 searches

"AI sommelier can give you the right wine, in just a few seconds."

Henry Ting

CTO, Carrefour Taiwan

Full Story

Research

To ship AI under tight timeline
I dove into technology, domain, and users

"What great AI UX looks like"

"How experts guide decisions"

"What users actually ask"

Sommeliers have a proven system. Wine jargon locks people out.

Sommelier's 3-step guidance

Knowledge barriers blocked shoppers

Key Feature 1

Expert-informed AI conversation flow

Context

People leave empty-handed when wines all look the same without guidance.

Challenge

AI conversation was too slow, too costly, and too unpredictable for a 4-month MVP

Key Decision 1

Step-by-step guidance inspired by sommeliers for confident wine choice

I turned sommelier questioning into simple guided choices, to empower customers with expert-level selection.

Key decision 2

To ensure reliable, fast responses, I designed structured choices to lead conversation

Structured selections guaranteed reliable recommendations without model training. Reduced decision anxiety for beginners.

Key decision 3

To prevent hallucination, I designed a workflow to pre-process wine profiles with AI and human verification

Final Product

On-demand AI sommelier turns 100+ options into 1 confident pick.

Turns overwhelmed shoppers into confident buyers.

Key Feature 2

AI-simplified wine profiles and illustrations

Context

Wine jargons confused customers and stop them from buying

Challenge

How to make AI tone approachable without losing expert credibility?

Key Decision 1

Number scales and profile snapshots make wine easily imaginable

Replaced jargon like 'tannic structure' with 1-5 scales and plain-language profiles shoppers can compare at a glance."

Key Decision 2

Food-pairing icons turned wine shopping into dinner planning

Mirrored recommendations to real meals, so customers pick by what they're eating, not by grape varieties they don't recognize.

Key Learnings

Multilingual AI requires cultural adaptation, not just translation

'Medium-bodied' doesn't translate culturally to Mandarin. Direct translation reduced recommendation accuracy — I learned to adapt concepts, not just words."

'Medium-bodied' doesn't translate culturally to Mandarin. Direct translation reduced recommendation accuracy — I learned to adapt concepts, not just words."

AI flows should evolve evolve with users

After launch, user behavior evolved. Initially, beginners needed structured guidance through choices, but as they became familiar with the system, they started entering complete requests upfront. I adapted by allowing direct input alongside guided flows and added 'I don't know' options for uncertain beginners

After launch, user behavior evolved. Initially, beginners needed structured guidance through choices, but as they became familiar with the system, they started entering complete requests upfront. I adapted by allowing direct input alongside guided flows and added 'I don't know' options for uncertain beginners

Smart Warehouse

Smart Warehouse -

I transformed fragmented datas into a unified dashboard.