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AI-Native Technology

Intelligence Built Into Every Layer

Q: How does AI semantic search differ from regular search?

Traditional B2B search matches exact keywords—search "kitchen tools" and miss results labeled "culinary utensils." Our AI semantic search understands meaning. It finds relevant products regardless of terminology, surfaces trending items you didn't know to search for, and learns from your behavior to improve results over time.

Q: What is the AI documentation assistant?

Our AI documentation assistant validates the manufacturer invoices and brand-authorization paperwork that ship with every order. It extracts key fields in real-time, flags missing or problematic documentation, and gives professional buyers specific guidance to keep their records compliant.

Q: How does the recommendation engine work?

Our AI analyzes your purchase history, browsing patterns, current inventory velocity, and market trends to suggest products likely to sell well in your store. It considers seasonality, complementary products, and real-time demand signals from across our buyer network.

Q: What is customer health scoring?

Health scoring predicts which customers are thriving and which need attention. We analyze purchase frequency, recency, order values, engagement metrics, and sentiment signals to calculate a 0-100 score. This helps us proactively support at-risk customers before they churn.

Catalist isn't AI-enabled—it's AI-native. Intelligence is embedded in every interaction, from product discovery to fulfillment documentation.

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1,200+

Premium Brands

40K+

Products Indexed

<200ms

Search Latency

24/7

AI Assistance

Four Pillars of AI-Native Commerce

Every feature is designed to help you find better products, save time, and grow your business smarter.

Semantic Search

Stop searching by keywords. Our AI understands what you're looking for—even when you don't know the exact product name. Search "trending toys" and get results based on market velocity, not just title matches.

<200ms

Search latency

40%

Better relevance

Smart Recommendations

AI that knows your business. Our recommendation engine learns from your purchases, browsing, and market signals to surface products likely to perform in your store. Discover opportunities you'd never find manually.

Discovery rate

25%

Higher AOV

AI Documentation Assistant

AI-native validation for the manufacturer invoices and brand-authorization paperwork that ship with every order. Upload documents, get instant validation, and receive specific guidance to keep your records compliant. Real-time checks against 50+ brand requirements.

52+

Brands mapped

85%

Validation accuracy

Predictive Health Scoring

AI that identifies at-risk customers before they churn. We track 6 weighted factors including recency, frequency, monetary value, and engagement to calculate health scores and prioritize retention efforts.

Health factors

30 days

Early warning

How Our AI Works

Every Product Gets Embedded

Using vector embeddings, we convert every product's title, description, brand, and category into a high-dimensional vector. This captures semantic meaning—"wireless earbuds" and "Bluetooth headphones" become neighbors in vector space.

Search Understands Intent

When you search, your query gets the same embedding treatment. We use pgvector's cosine similarity to find products that match your intent—not just your keywords. Hybrid search combines vector similarity with traditional text matching for the best of both worlds.

AI Validates Documents

Our documentation assistant uses frontier vision models to analyze the invoices and authorization letters that ship with every order. It extracts manufacturer names, dates, and product lists—then cross-references against brand requirements to flag issues for professional buyers.

Continuous Learning

Every search, click, and purchase improves the system. Recommendations adapt to your behavior. Health scores update as new signals arrive. The AI gets smarter the more you use it—and the more our entire buyer network uses it.

Frequently Asked Questions

How does AI semantic search differ from regular search?

Traditional B2B search matches exact keywords—search "kitchen tools" and miss results labeled "culinary utensils." Our AI semantic search understands meaning. It finds relevant products regardless of terminology, surfaces trending items you didn't know to search for, and learns from your behavior to improve results over time.

What is the AI documentation assistant?

Our AI documentation assistant validates the manufacturer invoices and brand-authorization paperwork that ship with every order. It extracts key fields in real-time, flags missing or problematic documentation, and gives professional buyers specific guidance to keep their records compliant.

How does the recommendation engine work?

Our AI analyzes your purchase history, browsing patterns, current inventory velocity, and market trends to suggest products likely to sell well in your store. It considers seasonality, complementary products, and real-time demand signals from across our buyer network.

What is customer health scoring?

Health scoring predicts which customers are thriving and which need attention. We analyze purchase frequency, recency, order values, engagement metrics, and sentiment signals to calculate a 0-100 score. This helps us proactively support at-risk customers before they churn.

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