Case Study: New Pig achieves improved search relevance and higher conversions with Lucidworks Fusion

A Lucidworks Case Study

Preview of the New Pig Case Study

Cleaning up industrial search by solving the language and intent gap

New Pig, a global manufacturer of industrial absorbents, struggled because customers describe needs differently than product descriptions, leading to null search results, empty carts and lost sales. Their DIY Solr search was difficult to maintain and hard for non-technical staff to curate, so they needed a way to understand intent and match customers to products without reworking product copy.

They deployed Lucidworks Fusion, using AI/ML to analyze user behavior, surface problem queries, and apply query pipelines that curate results while preserving descriptions. By tracking searches, clicks, add-to-carts and conversions end-to-end, New Pig improved search relevance and conversions, gained ongoing tuning capabilities, and even uncovered product opportunities that led to a best-selling launch during the pandemic.


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New Pig

John McQuade

Director of Software Development


Lucidworks

30 Case Studies