Pal Group
E-commerce search
Exact-match search missed synonyms. AI now maps intent—linking "cooling goods" to inventory—turning vague queries into sales.
- ~2x search conversion rate via AI
- 1.6x-1.7x per-user conversion rate
Keyword limits and manual workflows bottlenecked sales. Semantic search raised purchase amounts 14.2% and halved listing creation time.
The digital strategy arm of a major Japanese apparel group operates an e-commerce platform handling over 100,000 monthly product searches.
Conventional keyword-based search failed to handle spelling variations or understand user intent, preventing customers from finding relevant items....
“従来の検索エンジンでは、商品名や商品説明に記載されたキーワードのみに依存していたため、表記のゆらぎなどがあった際に、顧客が求める商品にたどり着けないという課題がありました。Vertex AI Search for commerce は、Google 検索のように意味を理解したセマンティックな検索が導入されているので、キーワードでマッチしなかったとしても、意図どおりの商品にたどり着けることが増えました。”
Digital solutions and e-commerce for the fashion and apparel industry.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Implemented Vertex AI Search for commerce, Gemini 2.5 Flash Image, and Veo for Onward.
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Exact-match search missed synonyms. AI now maps intent—linking "cooling goods" to inventory—turning vague queries into sales.
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