FindTuner for Lucidworks Fusion
Navigating Solr & Fusion
The adoption of Solr and Fusion for ecommerce search has been increasing as merchants want easy to deploy, cost effective tools that enable them to enhance the customer experience. FindTuner complements Fusion enabling merchants to quickly deploy and operate a merchandised eCommerce store.
FindTuner’s features work in concert with Fusion pipelines and machine learning models, complement and leverage signals and work seamlessly with Fusion’s powerful cluster management.
Get the tools you need to grow.
FindTuner gives merchandisers enhanced levels of power and control to create engaging search experiences that reduce the time for shoppers to find products and get to the checkout stage. FindTuner works seamlessly with Lucidworks Fusion, elevating it to new heights.
FindTuner for Lucidworks Fusion enables merchandisers to:
Target With Precision
FindTuner’s extensive and flexible targets can be crafted as broadly or precisely as needed to carry out any merchandising objective. Execute merchandising actions based on keywords, categories, facets, segments, campaigns, shopper attributes, or any combination, and more.
Feature Products and Categories
Use this feature to elevate/spotlight products that have been purchased in the past. Featured products can be configured using AutoTune data, merchandisers can curate the experience, or any combination.
Engagement Driven Facets
- Present the right facets automatically
- Display facets and facet values in the order shoppers are telling you
- Recommend the quickest path to the products the shopper wants
Drive Uplift With Any Data
- Take advantage of any data to dynamically rank results
- Use sales rank and revenue, inventory and availability, and ratings and reviews
- Easily blend with machine learning data as described above
- Create, visualize, and test algorithms with ease
Fast Deployment
You can configure AutoTune quickly, feed us your analytics, see improved results immediately and be hands off from the start.
TestimonialS
What Customers Are Saying
