AI Shopping Assistant AIショッピングアシスタント
Turn your own EC site into an EC site "that serves customers."
A conversational shopping assistant powered by generative AI. It picks up on customers' vague requests through natural conversation and recommends the best products along with the reasoning behind each suggestion. It prevents drop-off common with keyword-search EC, and conversation logs can be used as Voice of Customer (VoC) data for management decisions.
Turn your own EC site into an EC site "that serves customers."
A conversational shopping assistant powered by generative AI. It picks up on customers' vague requests through natural conversation and recommends the best products along with the reasoning behind each suggestion. It prevents drop-off common with keyword-search EC, and conversation logs can be used as Voice of Customer (VoC) data for management decisions.
Challenges
小売DXにあたってのお客様課題と背景
Why Conversational Commerce, Now
With generative AI now widespread, customers have grown used to an experience where they can "consult in their own words and get suggestions.
" Meanwhile, most EC sites are still centered on keyword search. This experience gap is exactly where the difference is being made right now.
Search → Conversation
Use of conversational AI is expanding rapidly. Buying by "asking" rather than "searching" is becoming the new standard.
Comparison Shopping
More consumers than ever gather information and compare options online before buying.
Mobile-First
Most EC usage happens on mobile, where the difficulty of "finding things" on a small screen drives drop-off.
Four Challenges Facing Search-Based EC
A One-Size-Fits-All Search Experience
Keyword-dependent search can't capture vague needs like "something that just feels right."
Rising Cart Abandonment
Even after viewing product details, customers aren't confident it's right for them, hesitate right before purchase, and leave.
No Service Staff
There's no "consult while you shop" experience like in a physical store, which lowers site engagement.
Search Terms Only Reveal the "Means"
A query like "knit, 30s, gift" doesn't reveal the motivation.
The context of "for whom, and why" only emerges in conversation.
Our Solution
アジアクエストのソリューション
The Solution: AI Shopping Concierge
We station a "customer-service expert" who knows your products inside and out, right on your EC site.
An AI trained on your product data receives customers' vague questions and requests through natural conversation,
and recommends the best products along with the reasoning — delivering personalized service to each customer, 24/7.
Traditional EC
After Implementing AI Concierge
Capabilities アジアクエストの強み
What the AI Concierge Can Do
Six core capabilities delivered as a one-stop solution, from data integration to service, purchasing, and analysis.
Automatic Product Data Sync
Automatically feeds product master data, inventory, and pricing into the AI, ensuring accurate recommendations based on always-current information.
Natural-Language Service
Understands context to answer questions like "What's a good gift for X?" or "Is there something cheaper?"
Seamless Path to Purchase
Adds items directly to the EC cart from the chat screen, keeping the search-to-purchase flow uninterrupted.
In-Chat Checkout (Extension)
With the extension, complete checkout without ever leaving the chat, thoroughly reducing drop-off points.
Personalization via Membership Data
Integrates with existing CRM/membership data to deliver 1-to-1 suggestions based on purchase history and preferences.
VoC Analysis from Conversation Logs
Accumulates and analyzes raw customer requests as text — feeding directly into product development, purchasing, and promotion decisions.
User Experience
顧客体験価値
A New Purchase Process Through Conversation
The natural flow of "consult → hear needs → propose → add to cart," all within the screen.
Consult
Enter a vague need, like "I'm looking for a wedding gift for a friend."
Hearing Needs
AI probes further — "What's your budget?" "What does your friend like?" — to zero in on the best suggestion.
Proposal
Multiple matching products are picked from your own data, each with the reasoning behind the recommendation.
Add to Cart
Add a liked product to the cart — and move to checkout — with one tap, right from the chat.
Expected Impact 期待される効果
Expected Impact of Implementation
"Resolving hesitation" directly impacts sales, satisfaction, and long-term customer relationships.
Higher Conversion
Being able to consult builds the confidence to buy, increasing conversion.
Higher Average Order Value
Related suggestions and upsells increase the amount per purchase.
Longer Time on Site
Being able to consult increases engagement with the site.
Higher Satisfaction/CX
Buying with confidence drives repeat purchases and brand loyalty.
Maximized LTV
Contributes to long-term customer lifetime value, not just short-term sales.
Reduced Lost Opportunity
Converts moments of hesitation — which often lead to drop-off — into purchases through conversation.
Data as an Asset
データ資産
Understanding "Why They Want to Buy," Not Just "What They Bought"
Click history and purchase data only tell you the "result." Conversation naturally reveals the motivation and context behind a purchase — "for whom" and "in what situation" it will be used.
This first-party data drives your next moves in products, purchasing, and promotion.
Examples of Context That Only Emerges in Conversation
What This Context Data Enables
Use Cases
小売・流通業における活用シーン
Use Cases in Retail & Distribution
Sensory preferences, specs, and personal concerns — the kind of consultation that's hard to search for is exactly where AI excels.
Styling Suggestions Tailored to Taste and Body Type
Answers Complex Spec Comparisons and Expert Questions
Consulting Tailored to Skin Type and Concerns
Roadmap 導入ステップ
Implementation Steps: A Small Start in as Little as 4 Weeks
Agile hypothesis validation → production → expansion, with clear deliverables at each phase.
Assessment
- Review product data and existing EC environment
- Align on goals and KPIs
- Decide target categories and scope
PoC (Hypothesis Validation)
- Sync product data and run initial AI training
- Design and tune conversation scenarios
- Demo and measure impact via limited release
Production Build & Launch
- Integrate via API with the EC cart
- Apply design/branding
- Production release and operational design
Expansion & Improvement
- Expand with payment/membership data integration and more
- Turn VoC analysis into regular reporting
- Continuously improve conversation accuracy
Future
未来像
Beyond the Chatbot
From an EC site that "serves customers" to an autonomous "AI agent commerce." Capabilities expand as data and integrations grow
— and you can advance to the next stage smoothly, in line with your company's DX roadmap.
Conversational Recommendations
Picks up on vague needs and suggests the best products through conversation.
Voice & Multimodal
Supports consultation by voice or image — even "find clothes like this photo."
Integration with Stores & Inventory
Extends to in-store pickup and inventory checks, seamlessly connecting online and in-store.
Autonomous AI Agent
Autonomously handles reordering, reservations, and optimal suggestions — evolving into a 1-to-1 "dedicated concierge."
Why AsiaQuest アジアクエストが選ばれる理由
A Partner for Co-Creating "Quick Wins"
Speed and flexibility. We support you with agile PoC engagement all the way through to your own self-sufficiency.
Engineers
End-to-end coverage from apps to cloud to data infrastructure — participating in development with real technical strength.
AWS Certifications
Covers 100+ technologies, with strength in AI and cloud modernization.
Agile-First
Rapid hypothesis validation in weeks to months. Creating value early with a small start.
Close to the Ground
Works closely alongside your team, embedding know-how in your organization. Supports internalization and self-sufficiency.