Search Relevance Architecture & Conversion Lift

We build search solutions that solve for human ambiguity. Our engines utilize semantic understanding and real-time context to match product attributes with complex, long-tail search queries, significantly improving conversion rates.

01

Natural Language Query Processing

Implementing sophisticated NLP models that understand the intent behind vague or long-tail queries (e.g., "warm jacket for hiking") rather than just keyword matching.

02

Instant, High-Relevance Results

Using modern vector databases and embedding models to instantly compare products based on conceptual similarity, drastically reducing the search time and increasing relevance.

03

Adaptive Ranking Algorithms

Designing MLOps pipelines that continuously monitor search result clicks, bounces, and conversions, automatically refining the ranking model to maximize revenue lift.

04

Visual Search Integration

Incorporating computer vision models that allow customers to upload an image (e.g., a style they like) and instantly find matching products within the catalog.

Intelligent Discovery for smart & Relevant Product Search

Building a world-class search engine requires robust custom ranking models, advanced language processing for user intent, and seamless integration into your existing e-commerce storefront.

01

Custom AI Model Development

Training the core predictive models responsible for ranking search results, optimizing the hierarchy based on conversion probability, inventory, and profit margin.

Custom AI Model Development & Integration

02

Generative AI Development

Using fine-tuned LLMs and NLP techniques to correct misspelled queries, refine vague inputs, and provide dynamic, conversation-like autosuggestions.

Generative AI Development

03

Web Platform Development

Ensuring the high-speed search engine integrates flawlessly and responsively with your existing frontend (Shopify, Magento, custom system) via robust, low-latency APIs.

Web Development