Ecommerce Site Search for Online Grocery Stores

From everyday essentials to hard-to-find favorites, get what you need-fast.

Smart e-Grocery starts with a smarter ecommerce site search.
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On-site search designed for large grocery catalogs

Wave Grocery’s sophisticated search bar guides your customers to what they need quickly and confidently, leading to your optimum conversion rates.

Natural language site search

Powered by semantic search principles, it addresses customer intent and variations in phrases, accommodating common terms, spelling errors, and rapid typing- especially ideal for mobile users.

Intelligent search tools

Customers find exactly what they’re looking for, through seamless searches based on product names, tags, attributes, categories, brands, and even SKUs or barcodes.

Autocomplete & suggestions

As customers type, dynamic and tailored suggestions appear, including related, popular products and recommendations based on their search history and trends.

Integrated premium database

Leverage high-performance, full-text search without the need for external systems, with MongoDB Atlas search. Scaling automatically, to meet the demands of your growing database and traffic.
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How Wave Grocery's ecommerce site search works.

Smart search engine tailored to your grocery habits-efficient, intuitive, personal.
Receive and organize orders in real-time
Real-time suggestions
As the user types "choco...", the search suggests "chocolate cookies," "dark chocolate," and shows trending or previously viewed products.
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Process orders with speed and accuracy
Find products through tags & attributes
A search for "vegan snacks" pulls results tagged as vegan, even if the phrase doesn’t appear in the product name.
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Sync inventory across all sales channels
Popular & trending suggestions
Highlights top-searched or high-conversion items dynamically.
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See how on-site search improves grocery product discovery

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Assign and prioritize orders for pickers
Phrase variation handling
Understands that “sugar free biscuits” and “biscuits with no sugar” are equivalent.
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What our clients say about us.
Lamprini Ntoutsi
Thanopoulos SM E-commerce Manager
Wave Grocery stands out because it’s built specifically for grocery and supermarket needs, not just another open-source solution. The powerful, intelligent search bar makes product discovery incredibly smooth for our customers, which has had a real impact on their shopping experience

Want higher conversions? Optimize your ecommerce site search.

Speak with our experts to learn how Wave Grocery's site search offers personalized results, boosting sales and establishing satisfied customers.
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FAQs

What is ecommerce search?

Ecommerce search is the on-site search functionality that helps shoppers find products within an online store. Unlike general search engines, ecommerce search is designed around product catalogs, categories, attributes, and availability, guiding users toward items they can actually buy.

Is SEO worth it for ecommerce?

Yes, but SEO alone is not enough. SEO brings users to an ecommerce site, but ecommerce site search determines whether those users can quickly find products and complete a purchase. Strong site search improves conversion rates by reducing friction once shoppers land on the store.

How does ecommerce site search improve conversions?

Ecommerce site search improves conversions by helping shoppers find relevant products faster, especially in large catalogs. Users who engage with on-site search typically show higher purchase intent, complete baskets more quickly, and abandon sessions less often when search results are accurate and relevant.

What is the difference between navigation and site search?

Navigation helps users browse predefined categories, while site search helps users directly look for specific products. In large or complex catalogs, navigation alone is not enough. Site search becomes critical when shoppers want fast, direct access to products without browsing multiple category levels.

How can I optimize site search for grocery products?

Grocery site search must handle product variations, weighted items, synonyms, and frequent availability changes. Optimization includes understanding natural language queries, supporting substitutions, recognizing product attributes, and returning relevant results even when searches are incomplete or imprecise.