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Catalog Intelligence
Engine

Launched a shopping copilot that interprets product attributes, boosting add-to-cart rates
by 12% and enhancing the overall customer experience.

## Project Details

Catalog Intelligence Engine is an AI-powered platform designed to optimize product catalog management for e-commerce and retail businesses. It automates product classification, attribute extraction, enrichment, and consistency checks, reducing manual effort and improving customer experience. Leveraging natural language processing, computer vision, and machine learning, the engine identifies product categories, extracts key attributes (e.g., size, color, material), and detects anomalies or missing information. It integrates with existing catalog management systems, PIM platforms, and marketplaces to ensure seamless updates and synchronization across channels. Key features include automatic product tagging, duplicate detection, attribute standardization, and real-time catalog analytics.
By continuously learning from historical data and market trends, the system improves accuracy and efficiency over time. The solution enables teams to manage large and complex catalogs, reduce errors, and accelerate time-to-market for new products. With enhanced catalog quality, businesses can deliver better search, filtering, and recommendation experiences, ultimately boosting conversion and customer satisfaction. Overall, Catalog Intelligence Engine transforms catalog management into a smarter, faster, and more reliable process, empowering teams to scale operations while maintaining high-quality product data.

DELIVERABLES
Data cleaning Embeddings
INDUSTRY
Ecommerce/Retail

## Project Research

Catalog Intelligence Engine is an AI-powered platform designed to optimize product catalog management for e-commerce and retail businesses. It automates product classification, attribute extraction, enrichment, and consistency checks, reducing manual effort and improving customer experience. Leveraging natural language processing, computer vision, and machine learning, the engine identifies product categories, extracts key attributes (e.g., size, color, material), and detects anomalies or missing information. It integrates with existing catalog management systems, PIM platforms, and marketplaces to ensure seamless updates and synchronization across channels. Key features include automatic product tagging, duplicate detection, attribute standardization, and real-time catalog analytics.
efficiency over time. The solution enables teams to manage large and complex catalogs, reduce errors, and accelerate time-to-market for new products. With enhanced catalog quality, businesses can deliver better search, filtering, and recommendation experiences, ultimately boosting conversion and customer satisfaction. Overall, Catalog Intelligence Engine transforms catalog management into a smarter, faster, and more reliable process, empowering teams to scale operations while maintaining high-quality product data.

## Project Results

The deployment of Catalog Intelligence Engine delivered measurable improvements in catalog management efficiency and quality. Manual effort for product classification and attribute entry decreased by 50%, while duplicate listings and inconsistencies dropped by over 40%. Automated tagging and attribute standardization enhanced search accuracy and recommendation relevance, contributing to higher user engagement and conversion rates. Real-time analytics allowed managers to monitor catalog health, identify gaps, and make data-driven decisions.The engine also improved scalability, enabling businesses to onboard large numbers of products quickly without compromising data quality. Feedback from catalog teams highlighted a significant reduction in operational workload, faster time-to-market for new products, and improved confidence in product information accuracy.Overall, the Catalog Intelligence Engine transformed catalog management into a smarter, faster, and more reliable process, driving operational efficiency, better customer experiences, and measurable business value for e-commerce organizations.

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
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DESCRIPTION
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DELIVERABLES
PHI-safe RAG, HIPAA-aligned workflows
INDUSTRY
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### Configuration

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###### CUSTOM CURSOR