The max no. of hosted Loop54 engines allocated. Each storefront (e.g. different languages or catalogues) requires its own engine.

Appears as an extra set of search results which contain similar products relevant to the search query, even if they don’t contain the exact word the user searched for.

Our proprietary AI core that ensures unparalleled relevance across all our features. The AI empowers the personalisation for the most relevant shopping experience.

Boost or bury results based on any product attribute. For example, promotional campaigns, new products, high-margin products, etc. The engine is smart when applying these rules and will only boost a product if it is relevant in the first place.

Choose between different Autocomplete options:
Products in autocomplete
Products are returned (alongside queries) when a user starts to type in the search box. If a user starts to type "airp" in the search bar, the engine will respond with the "Airpods" product.
Scoped autocomplete
The top autocomplete suggestion can be presented with facets (or scopes in other words). To enable users to apply a facet, directly from the search bar. Typically the facets used are brand or category. (e.g. "Prada in Accessories" or "Prada in Shoes")
Popular query suggestions
Query terms, ranked by popularity. The popularity of suggestions is determined by the frequency of searches for that term. The term's popularity is built up by previous searches for that term that led to a good textual match.

Other data in Autocomplete
Other things than queries and products can be returned. For example results within categories, brands or other content. This can be used to create a rich Autocomplete experience. 
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As the user applies facets to narrow down search results, new facet values are recalculated based on customer actions
Facet filters on any product attribute
Faceted filters can be built using any product attribute (date, number or text). Brand, category and price are default. Allow users to select and deselect facets. Applying a facet will narrow the search results and new facet values will be re-calculated based on the filtered results. All faceting options with a value >0 (i.e. the count of products that contain that filterable attribute) will be returned.

Your interface to Loop54 for handling and adjusting your engine and searches. Includes:
- Add synonyms
- Create boost and bury rules
- View statistics of search
- View reports
- Analyse customer search queries
- Use to improve SEO

Unlike many language-specific stemming algorithms that have a set of predefined rules of how to find the root form of a word, Loop54 handles things like stemming and other NLP tasks without any assumptions about how the language is built. Therefore multiple languages are supported, but each language requires its own engine.

You will have a dedicated Solutions Engineering and Success Manager that will provide ongoing support. Get product training, UX analysis, and analytics reporting. Our team will proactively optimise engine performance and meet regularly to discuss growth plans – including upcoming platform changes or traffic spikes.

Our platform is built to be flexible and we can accommodate if you have any particular need in the setup.
Examples of things we have done for current customers:

- Data synchronization, enrichment, and cleaning
- Custom API request/response format (excluding those used for filtering, faceting, sorting)
- Advanced object-based filtering and property inheritance
- Advanced parent-child variant handling
- Communication with third party API
- A new API endpoint

Includes the first 20,000 searches per month in the price. After, a fee per search is charged.

The maximum no. of catalogued products/SKUs the engine will index.

Loop54 AI has the ability to predict the actions of users, based on their current, previous and overall gathered user behaviour. Using personalisation enhances the users shopping experience and increases total shopping value.

Loop54's algorithm recognises the purchase intent of your customer and presents products based on that intent. The algorithm recognises if the intent changes during a session.

The engine presents relevant results in real-time based on a visitor's unique personal preferences (e.g. brand, gender, size, or other attributes in the product feed).

Great for B2B retailers and internal diagnostics purposes. Loop54 adapts the assortment and prices of products shown in search and/or category listings based on specific customer groups, physical stores, geographic markets.