Experro: AI product discovery

Experro gives shoppers a search box that can match natural-language requests, images, and product identifiers to the catalog. Product text, images, shopping behavior, and merchant rules contribute to ranking, while filters help shoppers narrow the results.

Merchants can fill gaps in product attributes using existing images, names, categories, and descriptions. Experro generates values against the store’s taxonomy and marks AI suggestions for review; the team can edit them before publishing the enriched data.

B2B buyers can search by exact SKU, dimensions, and technical attributes when product names are not specific enough. Custom filters, inventory context, and customer-segment visibility help narrow a complex catalog to the relevant items.

Experro brings customer data from different touchpoints into unified profiles. Teams can group customers by behavior, preferences, and demographics, giving personalization and customer journeys a shared view of the customer.

Merchandisers use a dashboard to inspect search gaps, product performance, and the order in which products appear. They can boost, bury, pin, exclude, or sort products across search and category pages, then monitor the effect through analytics.

EMA is a chat assistant for the merchant’s merchandising work. It uses storefront data and active rules to explain rankings and performance, suggest changes, and carry out requested actions such as adding synonyms or creating product-ranking rules.

AI Browse controls the product lists shown on category pages. It combines personalized ranking, merchandising rules, and filters, allowing the team to adjust which products shoppers see as they browse without entering a search term.

Teams can build product collections around promotions, trends, or shopping occasions. Experro brings selected products and merchandising controls into collection pages, giving campaigns a product destination beyond the store’s standard categories.

Merchandisers create widgets to recommend similar products or items frequently bought together. Each widget requires a global rule and can also use fallback algorithms and rules for the homepage, product page, or cart. The team then places the widget on a storefront page and publishes it.

Experro adjusts search results, category listings, and product suggestions to each shopper’s behavior and preferences. First-party browsing and interaction signals supply the context, including signals from anonymous visits.

Experro creates coordinated outfits and product bundles from the merchant’s catalog for experiences such as Complete the Look. Merchants can adjust the suggested combinations and exclude out-of-stock, unreleased, or low-margin items before using the bundles in shopping experiences.

Skara is Experro’s customer-facing assistant for shopping conversations and support. It uses product knowledge and conversation context to answer questions and suggest items; the offer also covers support and human participation, with channels and configured actions determined by the chosen deployment.

Content teams manage reusable content separately from the storefront’s visual presentation. Developers use content APIs and SDKs to deliver that content to websites or other channels, while multilingual content supports different markets.

Marketers build and edit pages with reusable layouts, banners, and other components. They can preview changes before publishing, schedule publication, and return to earlier content versions; developers can supply custom components for the team to reuse.

Teams compare content or layout variations for selected audiences. Audience filters can combine device, location, and behavior, while custom primary and secondary metrics show how the variations perform against the chosen business goal.

Content Personalization uses visitor behavior and customer information to decide which content to show. Teams can vary banners, copy, and offers across the shopping experience using the same shopper signals that inform personalization.

Experro hosts and deploys storefront frontends, the pages shoppers interact with. It manages the underlying infrastructure and monitoring; the content suite links hosting to page delivery and media-asset optimization.