Shoppers searching unavailable brands hit dead ends. AI now surfaces relevant alternatives, cutting null results from 5% to near zero.
Australia and New Zealand's leading fashion and lifestyle platform serves two million active customers with over 20 million monthly visits.
Growing data volumes caused query times to lag for minutes, while a rigid search experience often returned zero results for unavailable brands or...
“Our existing solutions just weren't keeping up with the volume of data that we had. That was the catalyst for us to start looking for new platforms, and explore new ways of working.”
THE ICONIC's Product search and discovery is part of this use case:
Online fashion and lifestyle retailer for clothing, footwear, and beauty products.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Accelerated THE ICONIC's migration to Google Cloud and helped build foundational data systems.
Related implementations across industries and use cases
Exact-match search missed synonyms. AI now maps intent—linking "cooling goods" to inventory—turning vague queries into sales.
Scaling curation for 90M buyers was impossible. Now, experts build seed collections and Vertex AI expands them into millions of custom feeds.
Manual search grids lengthened the path to purchase. Now, AI models power virtual styling and smart recommendations to guide shoppers.
Vague feedback on unrecorded streams slowed fixes. AI now diagnoses live issues instantly, lifting user satisfaction 30%.
With 60 partners, data standards didn't exist. AI now standardizes 1.5M images and matches text queries to inventory.
Store managers lost applicants to a 10-day hiring cycle. Now, an AI agent screens and schedules via text, saving thousands of hours.
Shoppers built lists item-by-item. Now, they build full baskets in one prompt, while staff automate internal workflows.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
Shoppers searching unavailable brands hit dead ends. AI now surfaces relevant alternatives, cutting null results from 5% to near zero.
Australia and New Zealand's leading fashion and lifestyle platform serves two million active customers with over 20 million monthly visits.
Growing data volumes caused query times to lag for minutes, while a rigid search experience often returned zero results for unavailable brands or...
“Our existing solutions just weren't keeping up with the volume of data that we had. That was the catalyst for us to start looking for new platforms, and explore new ways of working.”
THE ICONIC's Product search and discovery is part of this use case:
Online fashion and lifestyle retailer for clothing, footwear, and beauty products.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Accelerated THE ICONIC's migration to Google Cloud and helped build foundational data systems.
Related implementations across industries and use cases
Exact-match search missed synonyms. AI now maps intent—linking "cooling goods" to inventory—turning vague queries into sales.
Scaling curation for 90M buyers was impossible. Now, experts build seed collections and Vertex AI expands them into millions of custom feeds.
Manual search grids lengthened the path to purchase. Now, AI models power virtual styling and smart recommendations to guide shoppers.
Vague feedback on unrecorded streams slowed fixes. AI now diagnoses live issues instantly, lifting user satisfaction 30%.
With 60 partners, data standards didn't exist. AI now standardizes 1.5M images and matches text queries to inventory.
Store managers lost applicants to a 10-day hiring cycle. Now, an AI agent screens and schedules via text, saving thousands of hours.
Shoppers built lists item-by-item. Now, they build full baskets in one prompt, while staff automate internal workflows.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.