Key results
The company
Pal Group
palgroup.co.jpRetailer of apparel, accessories, and lifestyle products across specialty brands.
Result highlights
- ~2x search conversion rate via AI
- 1.6x-1.7x per-user conversion rate
The story
A lifestyle and apparel retailer operating approximately 60 brands, offering a diverse catalog ranging from fashion items to general merchandise.
Legacy search tools relied on exact keyword matching, failing to retrieve products when customers used synonyms, spelling variations, or different character sets. This rigidity forced users to guess the correct terminology for items, leading to poor user experience and abandoned sessions.
The retailer implemented Vertex AI Search for Commerce to interpret user intent, automatically bridging gaps between search terms and product descriptions without manual rule maintenance. The model ranks results based on user behavior and session data, surfacing relevant items even for vague queries like "cooling goods." A separate integration uses Gemini to analyze dashboard data and generate plain-text summaries for field staff.
Quotes
“膨大な商品数と指標をすべて見続けることは困難ですが、AI が状況を言語化してくれることで、担当者は『そうなっているのか』とパッと理解でき、一旦の概況確認がスムーズに行えるようになりました。”
Implementation partner
System Support
sts-inc.co.jpImplemented the Looker and Gemini integration and Vertex AI Search for commerce for Pal.