S1. Natural-Language Semantic Search (Mitsukoshi)
Published 2026-05-14Updated 2026-06-302 min read
1. URL · Personas
/semantic-search· P1, P5
2. User Stories
- P1: "Female in her 30s + LV/Chanel + Anniversary Sale 50% off" → SKU + VIP member recommendation
- P5: "Popular SKUs of LV on the 1F of Xinyi store + Japanese reviews" → counter merchandising insight
3. Data Mix
| Data | Source |
|---|---|
| Tenant SKU | OpenSearch idx_product (Smartcn) |
| Members + Foreigner | OpenSearch idx_customer |
| First-party reviews | OpenSearch idx_review |
| External reviews (Xiaohongshu, Dcard, Instagram, Japanese Twitter) | OpenSearch idx_social_trend (multilingual) |
| KG 1-hop | Neptune (Customer × Boutique × Brand × Store) |
4. UI
- Multilingual natural-language input (Traditional Chinese, English, Japanese)
- Filters: store / floor / brand / price
- 3-column result: SKU / member / external reviews
5. Guardrails
- PII masking
- Duty-free eligibility verification (Foreigner only)
6. Demo Scenarios
- "Female in her 30s + LV new release + popular among Japanese" → SKU + Japanese reviews
- "Hermes SKUs frequently purchased by Black-tier members" → member matrix
- "Luxury SKUs eligible for Anniversary Sale + 50% off" → campaign linkage