You already have Klevu. Now build around it.

Why Klevu is a strong foundation for product discovery

Klevu sits between your product catalogue and your shoppers. It processes search queries with natural language understanding, ranks results based on learned buying patterns, and adjusts category pages to surface products most likely to convert. For teams focused on onsite relevance, it removes much of the manual merchandising work that slows down daily operations.

What makes Klevu particularly useful is that it improves over time. The more search and click data it collects, the better it becomes at predicting intent. This is a genuine advantage over static search implementations that rely entirely on manual rules and synonyms.

But Klevu does not operate in isolation. It needs a consistent, well-maintained product feed — including attributes like price, stock status, images, categories, and custom metadata. If those data points are inconsistent or delayed, the search experience degrades regardless of how capable the AI layer is. That is why platform architecture and data quality matter just as much as the discovery tool itself.

Where platform choice shapes Klevu's impact

Klevu integrates with a range of ecommerce platforms, but the depth and ease of that integration varies. If you are evaluating or re-evaluating your storefront, you have real options — and each comes with tradeoffs worth understanding.

Norce is a commerce API built for the Nordic market. It gives you control over product data, pricing, and inventory through a composable backend. For Klevu, that means you can shape exactly what data enters the feed and how often it refreshes. The tradeoff is that Norce requires more frontend development, since it does not ship with a prebuilt storefront.

Shopware provides a flexible open-source platform with a strong plugin ecosystem. It works well for teams that want a full-featured admin experience and the ability to customise deeply. Klevu integration here benefits from Shopware's structured product model, though complex catalogue setups may require mapping work.

Shopify is the fastest path to a working storefront. Klevu has a well-maintained Shopify app, which lowers the integration effort. The tradeoff is less control over backend logic and data flows, especially for businesses with complex pricing or B2B requirements.

Magento with Hyvä gives you deep customisation and a modern, performant frontend layer. It suits businesses with large catalogues or multi-store setups. Klevu has mature Magento support, but the platform demands more hosting and maintenance planning.

Data flow between Klevu and your storefront

At its core, Klevu needs a product feed — typically including SKU, title, description, price, availability, categories, images, and any custom attributes you want to make searchable or filterable. Some setups also sync order and click data back to Klevu to improve its machine learning models.

The integration layer matters here. Junipeer can serve as a structured connector between your commerce backend and Klevu, handling feed formatting, scheduling, and data mapping. This reduces the amount of custom code your development team needs to maintain. But the connector alone does not guarantee clean data. Attribute naming, category hierarchies, and image quality all need attention before the feed is useful.

We typically review your existing product data early in the project. Common issues include missing attributes, inconsistent naming conventions, and outdated category trees. Fixing these problems improves not just Klevu's results, but also your broader site navigation and SEO performance.

Beyond the integration: what the full project looks like

Connecting Klevu to a storefront is a defined technical task, but it is only one part of the delivery. A realistic project scope includes several surrounding workstreams that determine whether the end result actually performs.

Platform selection comes first. If you have not yet committed to a storefront — or if you are migrating from a legacy setup — the platform decision needs to account for your team's capabilities, your catalogue complexity, your market requirements, and your budget. We work through that with you before any build starts.

Then comes architecture and data design. How does product data flow from your PIM or ERP into Klevu and onto the storefront? Where are the transformation points? What happens when a product goes out of stock — does Klevu suppress it in real time or on a schedule? These are the questions that shape the integration specification.

UX and content work runs in parallel. Klevu powers the search bar and category merchandising, but the surrounding page templates, filters, facets, and content blocks all need design attention. A good discovery tool in a poorly structured frontend still underperforms.

QA is not optional. We test search accuracy, feed freshness, fallback behaviour, and edge cases like zero-result queries before anything goes live. After launch, there is an optimisation window where Klevu's learning models are calibrated against real traffic, and where merchandising rules may need adjustment.

Working with Nordic Web Team on this

We are a Swedish ecommerce agency that works across platforms and business systems. Our role is advisory and delivery — helping you make the right architectural choices and then executing them. We do not push one platform over another. We assess your situation, recommend what fits, and build accordingly.

For teams already using Klevu, the question is usually not whether Klevu is the right tool. It is whether the surrounding ecommerce setup lets Klevu do its best work. That is what we focus on: the platform, the data, the frontend, and the processes that connect them. If you are exploring a new storefront or improving an existing one, we can start with a discovery workshop and move toward a phased rollout that protects your current operations while building toward the next version of your ecommerce.