The ability for a customer to find exactly what they’re looking for — like «wedding dress» — is a critical success factor for any online store. A smart search engine offers a more natural and efficient experience: instead of dry word matching, it understands spelling mistakes, Greeklish, and synonyms, and connects the customer’s phrase with the right products. This reduces «zero» searches, increases page dwell time, and increases conversions — especially in categories like wedding dresses, where detail counts.
What is smart search and how does it work in the e-shop?
From simple matching to understanding intent
Unlike the default WooCommerce/Magento search based on simple word matching, an engine on Elasticsearch/OpenSearch builds an index of the catalog and ranks the results based on relevance. On top of this, a synonym dictionary and thesaurus bridges the customer's language with the catalog's language: "wedding dress" is mapped to "wedding dress", "evening dress", "formal". This way, the engine "understands" the phrase even when the exact words are not present in the product description.
Crucial for the Greek market is the support for Greeklish: the customer who types "forema gia gamo" gets the same results as the one who types in Greek. Combined with stopwords (ignoring words without value such as "for", "to") and tolerance for small spelling errors, the search becomes much more "forgiving" and human.
Do you want «real» semantics with AI?; Beyond synonyms/thesaurus, a vector search layer with embeddings can be added, so that the engine can detect related concepts without having to define them manually. It is available as an advanced add-on — contact us to see if it is worthy of your catalog.
Advantages for customer and owner
- More accurate results, leading to fewer bounces and more time on page.
- Fewer "null" searches thanks to Greeklish and synonyms.
- Autocomplete overlay that shows products while the customer types.
- Search analytics: see what people are searching for and which searches are not working, so you can constantly improve your synonyms and catalog.
- Speed and scalability that can handle large catalogs, as the search runs on Elasticsearch and not on the WordPress/Magento database.
Practical application: a "wedding dress" scenario«
Step 1: Understanding the question
The engine breaks the phrase, ignores stopwords and matches it with synonyms from the catalog («bridal», «evening», «formal»). If the customer wrote Greeklish or made a small mistake, the match remains correct. Through analytics, you identify your customers« frequent phrases and add targeted synonyms — e.g., you define that »cream« is related to »off-white« and »ivory”.
Step 2: Smart ranking of results
Products are ranked based on relevance (Elasticsearch relevance scoring) and can be combined with priority rules, e.g. displaying available items higher. The customer narrows down the search with the store's filters (color, size, price) without searching through dozens of pages.
Step 3: Clear presentation
The autocomplete overlay instantly displays product suggestions with image and price from the first few characters, so the customer can reach the right product in seconds.
How Fixit EE integrates smart search into Magento & WooCommerce
Ready-made solution: AmazingSearch
We offer AmazingSearch for WooCommerce / Magento 2 — a search engine on top of Elasticsearch/OpenSearch with support for Greek and Greeklish, autocomplete overlay, synonyms / thesaurus / stopwords management, brand pages and detailed search statistics. The solution comes with documentation, installation guide and the ability to customize it to your needs (e.g. mapping custom attributes, connecting to brand pages).
Collaboration with Talos — the AI assistant
Complementing search, Talos is Fixit’s AI assistant that can answer customer questions in natural language («What’s the difference between lace and satin?») and guide them to the right products. It works alongside the search engine, providing a more conversational experience where the customer needs it.
Performance for large e-shops
Because the search runs on a separate Elasticsearch/OpenSearch index, the main store server is unloaded and results remain fast even with a large volume of products and concurrent users. In very large catalogs we can configure caching and index optimization for stable performance.
Conclusion
Search isn’t just a header field — it’s where the customer directly states what they want to buy. When the engine understands Greeklish, misspellings, and synonyms, the customer gets to the right product in seconds instead of leaving the store. This very difference translates into fewer «zero» searches, longer stays, and higher conversions.
With AmazingSearch on Elasticsearch/OpenSearch and the support of Fixit EE, you can give your e-shop a search that really works for the Greek market — and, when you need it, extend it with advanced semantic layer or with the Talos AI assistant. Contact us with us to see what fits your list.