Smart ecommerce search engine combining lexical search, personalised recommendations and now AI powered semantic search.
Our Smart Search Engine brings together three powerful capabilities: lexical search for precise keyword matching, personalised product recommendations, and AI powered semantic search for intent-driven, natural language queries. This combination ensures customers find what they mean, not just what they type, while discovering relevant products effortlessly.
An intelligent, ecommerce‑optimised search solution that blends product data, inventory, pricing and customer metrics to deliver the most relevant results. Unlike standard site search that simply matches keywords, tradeit™ Smart Search combines product data, inventory, pricing and customer metrics with features such as synonyms, spelling correction and weighted search passes. The result is a search experience that adapts to customer intent, reduces “no results” frustration and consistently surfaces the most relevant products, improving engagement and conversions.
Indexes product codes, names, descriptions, metadata, categories, relationships, bundles, and variations.
Supports multi-language and multi domain catalogues, including B2B product code aliases.
Incremental updates for stock, pricing, and product changes without full rebuilds.
Flexible price list indexing (parent, child, or all lists) with configurable price facets.
Variation specific pricing and automatic sale calculations.
In-stock flags and warehouse specific visibility rules for accurate filtering.
Supports exact, partial, and substring matches for product codes and attributes.
Smart tokenization for precise code matching.
Synonym management and spelling corrections to improve recall and reduce “no results.”
Category navigation with subcategory inclusion.
Filters by stock availability, product type, price ranges and custom facets.
Facet modes (AND/OR) for narrow or broaden results.
Sorting by name, code, price, sale amount, or date created.
Metric based sorting (orders, baskets, views, reviews, ratings, sales value).
Advanced sorting by in-stock priority, product groups, and merchandising order.
“More Like This” product suggestions based on attributes and relationships.
Supports configurable weighting for relevance control.
Finds products quickly with exact or partial matches.
Merchants configure pricing, stock, and sorting to match business needs.
Handles complex catalogues, bundles and B2B scenarios.
Improves product visibility with synonyms, spelling corrections and similarity matching.
tradeit™ Semantic Search understands what customers mean, not just what they type. It delivers faster, more relevant results, reduces “no results” frustration and unlocks global product discovery without manual configuration.
We’re introducing Semantic Search as an enhancement to tradeit™ Smart Search. By understanding customer intent rather than relying on exact keywords, Semantic Search delivers more relevant results, reduces failed searches and helps shoppers discover products across languages and regions. This upgrade boosts conversions and satisfaction while removing the need for manual synonym management.
Matches exact keywords only.
Requires manual synonym lists.
Customers must “guess” product wording.
High risk of “no results found”.
Limited global reach.
Merchant maintenance burden.
Understands meaning and intent.
Automatically handles synonyms, slang, and regional terms.
Supports natural, conversational queries.
Strong reduction in failed searches.
Supports regional and language variations.
No manual synonym management.
tradeit’s Semantic Search delivers intent-driven, product discovery that improves conversions and reduces “no results” outcomes.
Understands customer intent, not just exact keywords.
Finds products even when customers use different terminology (e.g., “sofa” vs. “couch,” “trainers” vs. “sneakers”).
Handles slang, regional variations, and natural language queries automatically.
Supports conversational queries like “gift for dad under £50” or “quiet vacuum cleaner.”
Matches descriptive phrases to relevant products without requiring keyword stuffing.
Automatically bridges UK/US terminology differences (e.g., “mobile phone” vs. “cell phone”).
Seamlessly supports multiple languages and regional vocabularies without manual synonym lists.
Eliminates manual synonym management and keyword optimization.
Automatically adapts to new slang, seasonal terms, and industry jargon.
Reduces “no results” searches by up to 70%, improving customer satisfaction.
Increases product discovery, especially for niche and long tail items.
Boosts search to purchase conversion rates by 20–35%.
Improves customer satisfaction scores by 25–40%.
Captures more sales opportunities by ensuring relevant results are always shown.
Handles regional and language variations automatically.
No need for manual synonym lists or keyword stuffing.
More relevant results lead to more sales and happier customers.
Deliver personalised, data‑driven product recommendations that increase engagement and sales.
tradeit™ Recommendations uses customer behaviour and business data to generate personalised product suggestions that improve discovery, deepen engagement and support higher sales.
Delivers tailored recommendations based on customer behavior, past purchases, wish lists, and basket contents.
Context aware: adapts to the current product or category being viewed.
Supports 15+ metric types including top viewed, top selling, top rated, frequently bought together, and “more like this.”
Blended recommendations: merchants can weight multiple metrics to fine tune product ordering.
Suggests related products, bundles, and variations.
“More Like This” uses product attributes and search logic to identify and surface similar or complementary items.
Easily added to any page via InSite editor.
Configurable carousels with category filters, product counts, and dynamic fields.
Boosts products directly in search and browse results.
Understands customer intent, not just exact keywords.
Finds products even when customers use different terminology (e.g., “sofa” vs. “couch,” “trainers” vs. “sneakers”).
Handles slang, regional variations, and natural language queries automatically.
Customers see products that match their interests.
Highlight best sellers, deals, and relevant items.
Context aware suggestions guide customers naturally.
Full control over recommendation logic and display.
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01865 880 800
info@redtechnology.com