Text matching failed on complex queries in a 50k catalog. Now, LLMs interpret intent to rank products by likelihood to convert.
Finland's most popular online retailer serves millions of monthly visitors with a 50,000-item catalog and an industry-leading Net Promoter Score of over 90.
A traditional on-site search function relied on simple text matching that failed to handle complex or ambiguous natural language queries. Customers...
“We've been a long-time user of Google Cloud, so it made sense to build on our existing data foundation in BigQuery. Google Cloud is a leader in AI innovation, and if anyone understands search, it's Google, so we were confident it would help us deliver the intelligent search we needed.”
E-commerce retailer for consumer electronics, home goods, and leisure products.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Related implementations across industries and use cases
Merchandisers manually updated rules weekly to decode trade slang. Now, AI continuously trains on live data to process complex queries.
Exact-match search missed synonyms. AI now maps intent—linking "cooling goods" to inventory—turning vague queries into sales.
Online shoppers browsed without guidance. A white-glove AI assistant now interprets needs, driving 2x conversion volume vs search.
Readers hit dead ends with rigid search. Conversational AI now connects topics, boosting monthly searches from 30k to 500k.
Researching millions of articles took 30 minutes. An AI tool now retrieves facts, summaries, and angles in seconds.
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 workflows delayed global campaigns for weeks. Now, local teams use GenAI to instantly draft localized, regulatory-compliant copy.
Producers manually matched timestamps. Now, teams edit transcripts directly, and AI generates social clips without video skills.
Text matching failed on complex queries in a 50k catalog. Now, LLMs interpret intent to rank products by likelihood to convert.
Finland's most popular online retailer serves millions of monthly visitors with a 50,000-item catalog and an industry-leading Net Promoter Score of over 90.
A traditional on-site search function relied on simple text matching that failed to handle complex or ambiguous natural language queries. Customers...
“We've been a long-time user of Google Cloud, so it made sense to build on our existing data foundation in BigQuery. Google Cloud is a leader in AI innovation, and if anyone understands search, it's Google, so we were confident it would help us deliver the intelligent search we needed.”
E-commerce retailer for consumer electronics, home goods, and leisure products.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Related implementations across industries and use cases
Merchandisers manually updated rules weekly to decode trade slang. Now, AI continuously trains on live data to process complex queries.
Exact-match search missed synonyms. AI now maps intent—linking "cooling goods" to inventory—turning vague queries into sales.
Online shoppers browsed without guidance. A white-glove AI assistant now interprets needs, driving 2x conversion volume vs search.
Readers hit dead ends with rigid search. Conversational AI now connects topics, boosting monthly searches from 30k to 500k.
Researching millions of articles took 30 minutes. An AI tool now retrieves facts, summaries, and angles in seconds.
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 workflows delayed global campaigns for weeks. Now, local teams use GenAI to instantly draft localized, regulatory-compliant copy.
Producers manually matched timestamps. Now, teams edit transcripts directly, and AI generates social clips without video skills.