Catalog Intelligence
Engine
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Automate product categorization and attribute extraction with AI-driven precision for retail scale.

Catalog Intelligence Engine

Project Details

Our Catalog Intelligence Engine is a sophisticated AI solution designed to solve the chaos of large-scale product data. For modern e-commerce, manual entry is no longer sustainable. This engine uses NLP and Computer Vision to automatically classify products, extract detailed attributes like material or color from images/text, and standardize data across multi-channel platforms.
Research

Project Research

The research focused on reducing 'Time-to-Market' for new inventory. We developed a proprietary deep learning model that learns from historical sales data and customer search intent to suggest the most relevant product tags, ensuring that every product is discoverable the moment it goes live.

Project Results

Implemented for a major retail chain, resulting in a 45% reduction in manual data entry, a 12% boost in Add-to-Cart rates due to better filtering, and near-zero errors in product specifications across 50,000+ SKUs.
Result 1
Result 2
Team Members
The Squad Shipping
Your AI
Ava
Ava Collins
Smart Verse AI Design Lead
Noah Reed
Noah Reed
ML/Agent Lead
Lucas Hayes
Lucas Hayes
Solutions Architect
Jordan Brooks
Jordan Brooks
Data Engineer
Erin Park
Erin Park
MLOps Engineer
Statistic
Human-centered
AI, built for
production
Results that speak for themselves.
OUR GROWTH
230K
UPTIME FOR KEY FLOWS
95%
ON TIME DELIVERY
99%
Testimonials
What Our
Clients Says
We shipped our first copilot in 7 weeks and cut support tickets by 31%. The eval dashboards made every decision obvious.
Elena Ruiz
Cantos SaaS’s VP Product
SSO/SAML and RBAC landed smoothly. Latency stayed <300 ms on p95—huge win for our agents.
Marcus Tan
VectorPay’s CTO
The best partner for agentic work. Multi-step planning, tool use, and audit trails—done right the first time.
David Kim
Northway's Ecommerce Director
Elena Ruiz
Marcus Tan
David Kim