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.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Implemented the Looker and Gemini integration and Vertex AI Search for commerce for Pal.
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 search missed nuance. AI now decodes intent—like "wet" meaning waterproof—to curate items like an in-store expert.
Keyword search failed on complex vehicle queries. Now, an AI pipeline rewrites messy questions to power shopping and service assistants.
Keyword search missed nuance. AI now decodes intent—like "wet" meaning waterproof—to curate items like an in-store expert.
Algorithms just matched similar items. An AI stylist now curates full outfits, replicating in-store expertise online.
Shoppers built lists item-by-item. Now, they build full baskets in one prompt, while staff automate internal workflows.
Online shoppers lacked guidance to navigate 26,000 appliances. An AI agent now matches natural queries to technical specs, driving sales.
Manual credit pulls bottlenecked applications. AI now checks credit and sets rates instantly, handing ready clients to bankers.
Creating sales tags triggered complex IT cycles. Now, AI agents automate the workflow and coach sellers on every deal—not just big ones.
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.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Implemented the Looker and Gemini integration and Vertex AI Search for commerce for Pal.
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 search missed nuance. AI now decodes intent—like "wet" meaning waterproof—to curate items like an in-store expert.
Keyword search failed on complex vehicle queries. Now, an AI pipeline rewrites messy questions to power shopping and service assistants.
Keyword search missed nuance. AI now decodes intent—like "wet" meaning waterproof—to curate items like an in-store expert.
Algorithms just matched similar items. An AI stylist now curates full outfits, replicating in-store expertise online.
Shoppers built lists item-by-item. Now, they build full baskets in one prompt, while staff automate internal workflows.
Online shoppers lacked guidance to navigate 26,000 appliances. An AI agent now matches natural queries to technical specs, driving sales.
Manual credit pulls bottlenecked applications. AI now checks credit and sets rates instantly, handing ready clients to bankers.
Creating sales tags triggered complex IT cycles. Now, AI agents automate the workflow and coach sellers on every deal—not just big ones.