Marqo

Smarter Search, Higher Conversion

Paid

Description

Marqo provides an advanced AI search solution tailored for ecommerce brands seeking to move beyond legacy systems. By leveraging custom-trained Large Language Models (LLMs) and analyzing user behavior data like clicks, add-to-carts, and purchases, Marqo delivers highly relevant and personalized search results. This approach replaces manual tagging with automated analysis of images and text, significantly improving search accuracy and reducing zero-result pages. The platform interprets user intent through semantic understanding, ensuring customers find what they need even with descriptive or uncommon queries.

Marqo integrates seamlessly with existing product catalogs and PIM systems without requiring UI changes, offering features like text-to-image search, customizable result boosting based on business KPIs (like margin or sponsorship), and AI-powered product recommendations. It's designed to optimize the entire search experience, adapting to individual browsing patterns and preferences to drive engagement, satisfaction, and ultimately, revenue growth for online retailers.

Key Features

Personalized AI Search: Learns from user behavior (clicks, purchases) to tailor results.
Semantic Search: Understands query intent and meaning, reducing zero-result pages.
Automated Tagging Replacement: Uses AI to analyze images, text, and behavior for ranking.
Multimodal Search: Enables text-to-image, image-to-text, and combined searches.
Customizable Search Results: Allows boosting products based on margin, sponsorship, or other KPIs.
AI-Powered Recommendations: Suggests similar products and high-conversion items based on user profiles.
Custom LLM Training: Trains a unique Large Language Model for each brand using proprietary GCL framework.
Seamless Integration: Connects with existing product catalogs/PIMs without UI modifications.

Use Cases

Improving ecommerce product discovery
Personalizing online shopping experiences
Increasing search conversion rates
Reducing zero-result search pages
Automating product tagging and categorization
Implementing image-based product search
Generating relevant product recommendations
Optimizing search results for business goals (e.g., margin)

Frequently Asked Questions

What is vector search?

Vector search allows searching documents, images, and other data by converting items into vectors that summarize semantic content. This enables matching based on meaning, not just keywords. Marqo includes the inference process to create these vectors.

Do I need to change my code to move from open-source to Marqo Cloud?

Minimal changes are needed. You only need to update your URL and API key when accessing Marqo Cloud.

How does billing work for Marqo Cloud?

Cloud pricing is billed monthly based on total inference and shard hours used, rounded up to the nearest 15-minute increment.

What factors determine the best setup (CPU vs. GPU)?

The optimal setup depends on factors like the number and size of documents, data type (image vs. text), search volume, and latency requirements. CPU instances are cost-effective for low volume/text-based search or when low latency isn't critical. GPU instances offer better performance for image indexing/searching, large datasets, and high-volume, low-latency searches.