Findify

Define a merchandising rule to 'Boost' products with high inventory and specific tags.

Apply a 'Bury' rule for new arrivals.

Let the AI optimize the remaining slots based on popularity.

Monitor the sell-through rate in the Findify dashboard.

Integrate Findify via the Headless API.

Configure a mobile-specific product grid layout.

Enable predictive autocomplete to minimize typing on touchscreens.

Analyze mobile-specific conversion metrics.

Enable the 'Zero Results' recommendation engine.

Configure the AI to suggest 'Closest Match' based on semantic similarity.

Show 'Trending Products' as a fallback.

Review the 'Top Searches with No Results' report to identify catalog gaps.

Index SKU and MPN attributes as searchable fields.

Enable strict keyword matching alongside semantic search.

Configure customer-group-specific pricing filters.

Set up bulk-buy widgets in search results.

Export Findify personalization segments via API.

Sync segments with an ESP like Klaviyo.

Inject 'Personalized for [User]' product widgets based on Findify’s data.

Track email-to-site conversion attribution.

Use 'Brand Boosting' to prioritize high-margin partners.

Enable brand-specific facets/filters in search.

Use AI to detect brand-specific intent (e.g., user only buys Nike).

Adjust rankings to favor the user's preferred brands.

Deploy Findify across multiple localized store views.

Configure synonym libraries for regional dialects.

Use the AI to learn regional preferences independently.

Enable multi-currency pricing in search results.