Exact-match search missed synonyms. AI now maps intent—linking "cooling goods" to inventory—turning vague queries into sales.
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...
“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。”
Retailer of apparel, accessories, and lifestyle products across specialty brands.
Implemented the Looker and Gemini integration and Vertex AI Search for commerce for Pal.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Pal Group's E-commerce search is part of this use case:
Related implementations across industries and use cases
Text matching failed on complex queries in a 50k catalog. Now, LLMs interpret intent to rank products by likelihood to convert.
Keyword limits and manual workflows bottlenecked sales. Semantic search raised purchase amounts 14.2% and halved listing creation time.
Keyword search failed on complex vehicle queries. Now, an AI pipeline rewrites messy questions to power shopping and service assistants.
Scaling curation for 90M buyers was impossible. Now, experts build seed collections and Vertex AI expands them into millions of custom feeds.
Adding one attribute to a 300M-item catalog took days of rebuilds. Unifying vector and product data unlocked real-time hybrid search.
Employees previously broke work into rigid tasks. Now, they delegate high-level goals to agents that work autonomously for hours.
Recruiters juggled disconnected systems while managers fielded candidate calls from the back office. An AI now screens and engages 24/7.
Fragmented legacy tools bottlenecked underwriters. A unified platform and GenAI assistant now automate data extraction across 25 countries.
Shifting to B2B sales exposed disconnected workflows and anecdotal forecasts. Now, AI analyzes interactions to surface deal intelligence.
Exact-match search missed synonyms. AI now maps intent—linking "cooling goods" to inventory—turning vague queries into sales.
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...
“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。”
Retailer of apparel, accessories, and lifestyle products across specialty brands.
Implemented the Looker and Gemini integration and Vertex AI Search for commerce for Pal.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Pal Group's E-commerce search is part of this use case:
Related implementations across industries and use cases
Text matching failed on complex queries in a 50k catalog. Now, LLMs interpret intent to rank products by likelihood to convert.
Keyword limits and manual workflows bottlenecked sales. Semantic search raised purchase amounts 14.2% and halved listing creation time.
Keyword search failed on complex vehicle queries. Now, an AI pipeline rewrites messy questions to power shopping and service assistants.
Scaling curation for 90M buyers was impossible. Now, experts build seed collections and Vertex AI expands them into millions of custom feeds.
Adding one attribute to a 300M-item catalog took days of rebuilds. Unifying vector and product data unlocked real-time hybrid search.
Employees previously broke work into rigid tasks. Now, they delegate high-level goals to agents that work autonomously for hours.
Recruiters juggled disconnected systems while managers fielded candidate calls from the back office. An AI now screens and engages 24/7.
Fragmented legacy tools bottlenecked underwriters. A unified platform and GenAI assistant now automate data extraction across 25 countries.
Shifting to B2B sales exposed disconnected workflows and anecdotal forecasts. Now, AI analyzes interactions to surface deal intelligence.