Visual and conversational product discovery
Commerce
AI for Retail & Commerce
Connected intelligence across catalog, customer and operations
We connect product content, imagery, inventory, customer intent and marketplace operations into useful AI products. The focus can be customer-facing discovery or the operational work behind a large, changing catalog.
What we build
Designed around the work—not the demo.
Visual product search, dynamic personalized catalog ranking, inventory forecast models, and multi-channel conversational support.
Attribute extraction and catalog enrichment
Inventory, listing and campaign workflow agents
Multimodal customer-support and associate tools
Recommendation and merchandising interfaces
Evaluation for relevance, policy and brand consistency
Production outcomes
Useful after launch.
Cleaner product data and more useful discovery experiences
Routine catalog and marketplace work routed through controlled automation
A measurable path from use case to conversion, handling time or inventory accuracy
Why this matters now
Evidence, not trend-chasing.
Boundaries we define early
Personalization requires appropriate consent, data governance and measurement design
Generated product content needs factual and brand review
Agents should use approval thresholds for pricing, spend and inventory changes