Merchandisers manually updated rules weekly to decode trade slang. Now, AI continuously trains on live data to process complex queries.
One of Britain's fastest-growing tool and building suppliers, operating 580 stores with website and mobile apps accounting for roughly half of all transactions.
Customers frequently used synonyms, brand names, and trade-specific slang that the legacy search tool couldn't process, resulting in 2% of all...
“We had thousands of rules that had accumulated over the years. They improved things, but they never fixed the underlying problem. So we reached out to Google Cloud to improve our product discovery, and were introduced to Vertex AI Search for commerce.”
Retailer of trade-quality tools, construction materials, and home improvement supplies.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Toolstation's Product 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.
Exact-match search missed synonyms. AI now maps intent—linking "cooling goods" to inventory—turning vague queries into sales.
With 60 partners, data standards didn't exist. AI now standardizes 1.5M images and matches text queries to inventory.
Keyword limits and manual workflows bottlenecked sales. Semantic search raised purchase amounts 14.2% and halved listing creation time.
Fragmented vendor feeds obscured matching items. Now, AI pipelines parse millions of unstructured records into curated collections.
Employees previously broke work into rigid tasks. Now, they delegate high-level goals to agents that work autonomously for hours.
An aging homegrown CRM held back 1,700 agents. Now, an AI co-pilot helps them draft faster, higher-quality emails from a single screen.
Translating updates one language at a time bottlenecked distribution. Now, AI drafts multilingual commentary in minutes for editor review.
Native ad tools optimized for platform metrics, limiting spend efficiency. An AI agent now adjusts live campaigns to meet business goals.
Merchandisers manually updated rules weekly to decode trade slang. Now, AI continuously trains on live data to process complex queries.
One of Britain's fastest-growing tool and building suppliers, operating 580 stores with website and mobile apps accounting for roughly half of all transactions.
Customers frequently used synonyms, brand names, and trade-specific slang that the legacy search tool couldn't process, resulting in 2% of all...
“We had thousands of rules that had accumulated over the years. They improved things, but they never fixed the underlying problem. So we reached out to Google Cloud to improve our product discovery, and were introduced to Vertex AI Search for commerce.”
Retailer of trade-quality tools, construction materials, and home improvement supplies.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Toolstation's Product 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.
Exact-match search missed synonyms. AI now maps intent—linking "cooling goods" to inventory—turning vague queries into sales.
With 60 partners, data standards didn't exist. AI now standardizes 1.5M images and matches text queries to inventory.
Keyword limits and manual workflows bottlenecked sales. Semantic search raised purchase amounts 14.2% and halved listing creation time.
Fragmented vendor feeds obscured matching items. Now, AI pipelines parse millions of unstructured records into curated collections.
Employees previously broke work into rigid tasks. Now, they delegate high-level goals to agents that work autonomously for hours.
An aging homegrown CRM held back 1,700 agents. Now, an AI co-pilot helps them draft faster, higher-quality emails from a single screen.
Translating updates one language at a time bottlenecked distribution. Now, AI drafts multilingual commentary in minutes for editor review.
Native ad tools optimized for platform metrics, limiting spend efficiency. An AI agent now adjusts live campaigns to meet business goals.