Associates manually routed complex tickets and managed 47K product tags. Now, AI agents triage requests and classify attributes.
One of the world's largest home goods retailers manages a catalog of roughly 30 million items across nearly a thousand product classes while supporting tens of thousands of suppliers.
Associates manually reviewed and routed complex support tickets spanning hundreds of issue types, a time-consuming and error-prone process....
“The better our data quality, the more trust we build with the customer. It's essential because it empowers shoppers to make the right buying decisions, directly reducing costly downstream issues like returns from misrepresented products.”
E-commerce marketplace for furniture, home decor, and housewares.
AI research and deployment company developing generative models and tools.
Wayfair's Catalog and supplier support is part of this use case:
Related implementations across industries and use cases
Manual categorization delayed revenue. Staff-built agents now auto-classify products for 91% faster onboarding, with human oversight.
Bots failed on complex returns, forcing calls. AI agents now use live supply chain data to resolve 60% of WhatsApp inquiries.
Scattered systems left a long tail of manual actions untouched. AI agents now operate UIs directly to run workflows, escalating exceptions.
Manual tagging bottlenecked inventory for a month. AI now analyzes images to generate accurate descriptions in just one hour.
Manually classifying 10M media signals took 12 weeks. Now, AI agents automatically extract and match unstructured metadata to entities.
300+ receipt layouts forced manual entry. GenAI now reads raw images with 98.6% accuracy, cutting costs 90%.
Employees previously broke work into rigid tasks. Now, they delegate high-level goals to agents that work autonomously for hours.
Training models for 300+ invoice formats bottlenecked operations. Now, generative AI extracts data instantly; staff review exceptions.
Migrating thousands of legacy contracts to a core system took hours of manual effort. AI now automatically extracts critical details.
Associates manually routed complex tickets and managed 47K product tags. Now, AI agents triage requests and classify attributes.
One of the world's largest home goods retailers manages a catalog of roughly 30 million items across nearly a thousand product classes while supporting tens of thousands of suppliers.
Associates manually reviewed and routed complex support tickets spanning hundreds of issue types, a time-consuming and error-prone process....
“The better our data quality, the more trust we build with the customer. It's essential because it empowers shoppers to make the right buying decisions, directly reducing costly downstream issues like returns from misrepresented products.”
E-commerce marketplace for furniture, home decor, and housewares.
AI research and deployment company developing generative models and tools.
Wayfair's Catalog and supplier support is part of this use case:
Related implementations across industries and use cases
Manual categorization delayed revenue. Staff-built agents now auto-classify products for 91% faster onboarding, with human oversight.
Bots failed on complex returns, forcing calls. AI agents now use live supply chain data to resolve 60% of WhatsApp inquiries.
Scattered systems left a long tail of manual actions untouched. AI agents now operate UIs directly to run workflows, escalating exceptions.
Manual tagging bottlenecked inventory for a month. AI now analyzes images to generate accurate descriptions in just one hour.
Manually classifying 10M media signals took 12 weeks. Now, AI agents automatically extract and match unstructured metadata to entities.
300+ receipt layouts forced manual entry. GenAI now reads raw images with 98.6% accuracy, cutting costs 90%.
Employees previously broke work into rigid tasks. Now, they delegate high-level goals to agents that work autonomously for hours.
Training models for 300+ invoice formats bottlenecked operations. Now, generative AI extracts data instantly; staff review exceptions.
Migrating thousands of legacy contracts to a core system took hours of manual effort. AI now automatically extracts critical details.