Leverage automation and NLP for data-driven search results that move your KPIs.
Search users convert 4-6 times better than shoppers who browse.
That said, search is hard. Without an advanced search solution, queries often lead to irrelevant results and cause shoppers to end their shopping journey prematurely, even if stores have what they need in stock.
Prefixbox’s automated Semantic Search Engine leverages machine learning to analyze queries and understand user intent to ensure shoppers are presented with relevant results that make shopping easy.
increase in conversion rate
of shoppers use filters on the SERP
Statistics are based on Prefixbox Analytics
Smart filters and facets, along with rich product tiles, enable shoppers to narrow search intent down to find the items they’re looking for with easy, efficient navigation.
Our Semantic Search Engine mines and applies accurate synonyms, corrects misspelled queries, and implements matching conditions with advanced ranking and retrieval features that ensure accurately ranked results.
NLP understands language stems and context to ensure results are accurately ranked. Retailers can further fine-tune ranking algorithms and matching conditions to support their business goals.
Query Understanding leverages NLP to decipher nuances of everyday language and speech.
This cutting-edge feature rewrites search queries into complex expressions with multiple phrases. By translating the shopper’s natural language query into terminology that the search engine understands, QU ensures accurate results for every search.
Understands case sensitivity and grammatical forms like singular, plural, conjugations, etc., and adjusts hyphens, spacing, and stop words to clean search queries and tokens.
Understands when searches should be one or two words and breaks or joins queries accordingly.
Understands diacritics and adjusts search queries by adding or removing them when necessary.
Recognizes typos and spelling mistakes and deciphers user intent to present shoppers of all languages and industries with accurate results.
Prefixbox’s Speller can be trained in your store’s industry, catalog, and language to offer optimal results tailored to your store.
Prefixbox leverages machine learning to mine and apply accurate synonyms from your store’s synonym database to queries to generate relevant results. Retailers can manually apply additional synonyms for personalized optimization.
Understands dimensions of search queries, like weight and size, and accurately suggests relevant products.
Elastic Search analyzers are trained for your catalog and user language, and support over 50+ languages.
Prefixbox continuously builds language-specific features to enhance query understanding in every language.
Prefixbox redirects shoppers to informational pages instead of product pages when queries are information-based.
Our advanced Retrieval features analyze text-based search queries and identify the information necessary to accurately process a shopper’s request.
Specify where you want queries to match in the product feed (name, description, attributes, brand, etc.) and apply specific weights to each product field to tweak results. For example, retailers can designate name matches to have priority over a match in the description.
Leverage machine learning and automation to identify and assign relevant synonyms to keywords and products in an easy-to-manage database compatible with your country and industry.
In addition to matching complete queries to items in the product catalog (‘all search’), Prefixbox can identify and match individual keywords (‘any search’) from the search to recommend relevant products when an ‘all search’ doesn’t return enough relevant results.
Prefixbox accurately generates results for product ID or code searches and can handle different product code patterns.
In addition to matching complete queries to items in the product catalog (‘all search’), Prefixbox can identify and matching individual keywords (‘any search’) from the search to recommend relevant products when an ‘all search’ doesn’t return enough relevant results.
Advanced algorithms determine product Ranking by analyzing user behavior to ensure the most relevant products appear as top suggestions.
The ranking hierarchy is determined by popular products in stock, followed by items available for order, then pre-order.
Ensure the most relevant and popular products appear first with accurate ranking calculations that consider product popularity trends and click feedback. Calculations refresh daily.
Prefixbox ranks in-stock products higher on the SERP, followed by products available for order, and then items available for pre-order.
Prefixbox’s Semantic Search Engine analyzes user behavior and ranks results accordingly. For example, if a high percentage of shoppers click on a specific product, it will automatically rank higher, and products that don’t receive as much interaction will rank lower.
Retailers have the power to manually alter the order of SERP results with Prefixbox’s Merchandizing feature to promote the products they want to sell.
Prefixbox’s UX is highly responsive and can be fully customized to match the design of your store.
Filters change dynamically based on the search query. For example, if someone searches for shoes, they can filter results by size, and if they search for a laptop, they can filter results by processing power or other relevant specifications.
Shoppers can narrow down search results by applying range filters (i.e. to set a price range) and value filters (brand, color, price, etc.) to find desired products quickly. For example, if a shopper searches for shoes, they can apply smart filters and efficiently navigate to white Nike’s under $90.
Retailers can customize Rich Product Tiles with detailed images and product-specific information to help their shoppers make informed purchasing decisions efficiently.
Prefixbox is natively optimized for mobile browsing to guarantee a streamlined shopping experience on any device.
Enable shoppers to find desired products faster with intuitive sorting options based on criteria of their choice, such as “price,” “newest,” or “most popular.”
Retailers can choose to separate search results across different pages and encourage shoppers to navigate through them or offer infinite scrolling to keep them engaged in their shopping journey.
Front-End Speed is optimized to prevent delayed loading and caching.
Retailers that sell online directly from specific physical stores can automatically update stock per location to reflect available items and leverage metrics to understand their customer needs and habits.
Pricing is based on annual search count. Request a quote to learn about our 45-day free trial and how you can optimize your Ecommerce search solution.
The Semantic Search Engine is part of Prefixbox Search. Learn more about our search solution to see how you can streamline the shopping journey to increase conversion rate and revenue.
A Semantic Search Engine is a fundamental part of online stores and is imperative in creating a seamless shopping experience.
Prefixbox’s advanced Semantic Search Engine is easy to integrate and comes with an advanced insights and experimentation platform to help you maximize business performance.
Front-end, API, and mobile app integrations are available.
Easy-to-understand metrics, continual testing, and frequent optimization ensure results are relevant and you’re running the highest performing solution.
Most relevancy improvements are automated, and manual management is possible. Our Customer Success Managers can handle manual optimizations for you.
Prefixbox is hosted in multiple global data centers to provide over 99.99% search availability, and retailers can scale up and down during busy periods.
Results appear in 150-350 milliseconds and update dynamically as shoppers navigate their path to purchase.
Prefixbox is fully customizable; everything can be set up in the admin portal by your team or ours.