Go beyond keyword matching and reduce search abandonment
If you sell furniture or lighting online, you already know the challenge: shoppers search using full sentences and precise needs – “a yellow lamp under 1.5 metres tall, suitable for reading” – but traditional search engines often fail to return relevant results. Our solution goes beyond literal keyword matching, recognising the relationships between dimensions, materials and contexts of use. It integrates with Magento 2 and Shopify, and helps reduce search abandonment when shoppers are ready to buy.
How MON-KEY Semantic Search works
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Your catalogue is connected and mapped
Before launch, your e-commerce catalogue is connected and key attributes – product type, dimensions, materials, colours and finishes – are mapped to the engine.
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The customer describes what they're looking for
They can use a natural sentence, combining features, measurements and context of use.
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MON-KEY Semantic Search interprets the request
The engine identifies the product type and relevant criteria, including any dimensions, materials, colours and finishes mentioned.
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The request is matched against your catalogue
The system matches the identified criteria to your product and variant data.
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Your store shows the relevant results
Once the request has been matched against the catalogue, MON-KEY Semantic Search returns the relevant products and variants via API. Results are displayed through an interface designed to match your site.
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Your catalogue stays in sync
Your catalogue and configuration sync daily, so new products, price changes and updated attributes are reflected automatically.
The business case for a better search experience
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90%
of consumers consider an effective internal search function very important or absolutely essential when visiting an e-commerce site.
Source: study commissioned by Google Cloud and conducted by The Harris Poll, 2023. Figures shown refer to the US sample; the study surveyed consumers across 14 countries.
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69%
of consumers regularly use internal site search, making it the primary way they find products.
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99%
of consumers say they’re likely to return to an e-commerce store that offers a smooth, relevant search experience.
Why choose MON-KEY Semantic Search
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No need for a new e-commerce site
You don’t need to invest in a new online store to unlock the power of AI. Our engine runs on external infrastructure, reducing the load on your server and limiting impact on performance. It connects via a dedicated API integration, built for Magento 2 and Shopify.
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Built exclusively for furniture and lighting
Generic AI search engines struggle with the complexity of design – variants, materials, finishes. Our system is pre-trained specifically for the furniture and lighting sectors, so it recognises the specific relationships between dimensions, materials and product types.
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Enterprise performance with competitive running costs
Some AI-powered search engines process every request entirely through generative models, with costs that can rise alongside query volume. MON-KEY Semantic Search limits AI use to the initial interpretation of the request, then uses optimised catalogue data mapping to find relevant results – keeping running costs competitive.
A simple setup, configured for your catalogue and brand
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Data mapping
The linguistic core of MON-KEY Semantic Search is mapped to your existing product database. We train the system to understand your catalogue’s specific logic, so that finishes, dimensions and other attributes unique to your catalogue are interpreted correctly.
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Matched to your brand identity
Your brand’s look and feel matters. MON-KEY Semantic Search appears on your store the moment a shopper clicks the search bar, with an interface designed to blend naturally into your online storefront. We customise the layout with bespoke CSS, applying your fonts, colours and visual style.
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Multilingual search
Your search engine needs to speak the same language as your customers. MON-KEY Semantic Search understands and processes complex queries in multiple languages*. Once final quality testing is complete, the system goes live, turning your website into an intelligent digital showroom built to drive conversions.
Frequently asked questions about AI Semantic Search
How does it integrate with my e-commerce store, and how is the impact on performance limited?
Integration happens via a dedicated API connection for Magento 2 and Shopify. The tool appears as a bespoke search interface, using your fonts and colours, the moment a shopper clicks the search bar. Since the main processing happens on external infrastructure, the integration is designed to minimise impact on your server and page load times.
What does the initial data mapping and clean-up phase involve?
Before going live, our process analyses your product data to identify information that’s missing, inconsistent or poorly structured (finishes, variants, technical attributes). We train and map the linguistic core of MON-KEY Semantic Search onto your existing database – this initial setup work is essential for the AI to correctly interpret the complexity of your catalogue.
How can I monitor and manage the costs of using the tool?
Our architecture limits AI use to the initial interpretation of the request, helping keep query-related costs under control. You also stay in control of the service itself: from your dashboard, you can switch semantic search on or off at any time, with your site’s standard search always available as a fallback.
Does MON-KEY Semantic Search only work on e-commerce sites?
No. Although it was developed with e-commerce in mind, MON-KEY Semantic Search can be implemented on any website with a product catalogue – not just online stores. It’s equally effective for general catalogue discovery, helping visitors find the right product even when they’re not ready to buy