Kea Labs - Smart Search

What this solution does

The plugin enables integration with the Kea Labs smart search service and requires a separate subscription. Kea Labs is a machine learning and AI platform for online stores. The solution combines technologies to increase store revenue: smart search, personalization, and advanced recommendations. The system deeply analyzes content and visitor behavior to improve search result relevance. It processes product images and automatically generates search filters. The algorithm evaluates potential revenue and purchase probability, aligning these metrics with user interests. The primary goal of the technology is to increase sales.

The module connects the Kea Labs Smart Search service to stores on the Bitrix platform. It replaces the standard search with two components: a fast search form with autocomplete and a results page with automatic filters. The dashboard is not yet embedded in the Bitrix administration panel; settings management and search performance monitoring are handled through the Kea Labs interface. This allows analysis of visitor behavior, adjustment of search parameters, and evaluation of revenue from search results. The service is used by many online stores and helps users find what they need regardless of the device or query complexity.

Cost and suitability

The Kea Labs solution is optimal for medium and large online stores. Implementing this level of search is not economically justified if the monthly traffic is below 15,000 visitors. The system's effectiveness is directly proportional to traffic volume and catalog size: the higher these metrics, the more significant the results. The base subscription cost starts at 12,000 Russian rubles per month and may be adjusted as the store scales.

Integration and initial setup are performed free of charge by the development team. Upon completion, a 30-day trial period is provided with full access to all search features. Users may optionally activate a built-in A/B test to precisely measure revenue growth and calculate return on investment (ROI).

Key capabilities:

- Self-learning algorithm: continuously improves result relevance based on visitor behavior analysis.

- Smart suggestions and search query auto-completion.

- Faceted search with automatic filter generation.

- Advanced linguistic processing: tolerance for typos, synonym handling, transliteration, phonetic matching, and support for multilingual queries.

- Specialized algorithms designed to maximize revenue.

The Kea Labs smart search module enables product search by colors in images. The catalog is updated automatically and regularly. The search interface and logic are flexibly configurable. The system scales automatically with your business and works flawlessly on any device.

Search works instantly: it suggests completions, offers possible words, and returns results after the first letter is typed.

Semantic search understands word meanings, uses advanced linguistics, corrects errors, and is resilient to typos. It supports synonyms and additional dictionaries for your store.

Color search analyzes photos, recognizes over 1500 colors, and compares them from the perspective of human vision.

Search within sections and categories allows you to search for products only in a specific category, for example, only in plush toys or only in books.

Automatic filters simplify navigation and allow you to easily refine search criteria.

The unified platform provides multi-level search analytics with dozens of insights.

The Kea Labs smart search module enables tracking of demand changes and analysis of visitor behavior, including how users search, which products they find, and which queries return no results. The system evaluates the effectiveness and accuracy of search queries as well as user paths to products.

Marketing Rules and Merchandising

The insights gained allow for the configuration of search rules to achieve marketing objectives, such as supporting ongoing promotions, promoting specific products, or optimizing the assortment.

Search Path Analytics

Kea Labs analyzes visitor actions throughout the entire search journey to generate detailed insights. These range from basic metrics, such as product and category popularity or the volume of queries with no results, to advanced analytics including trend identification, demand shifts, and analysis of user behavior after selecting a specific query (what they purchase or view next).

General iT can take care of implementing “Kea Labs - Smart Search”, including installation, configuration and result verification.