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NLP-Powered Search Optimization

GraingerChicago, IL, US2016 - 2017Product Manager

Overview

Led product strategy for "Search and Select" functionality on Grainger's B2B/B2C e-commerce platform serving 1.5M products. Drove SEO/SEM optimization and search engine development.

Key Outcomes

$170M

Revenue increase from organic search

7%

Organic traffic growth

14%

Boost in featured SKU sales

23%

Improvement in search satisfaction

The Challenge

Poor product discovery and low search relevance were impacting sales. The existing search couldn't understand user intent, and high-value SKUs weren't being promoted effectively.

My Approach

  • Implemented NLP-powered search optimization using Inbenta
  • Conceptualized and implemented Java-based product boosting algorithm
  • Coordinated with business teams to optimize Solr search engine
  • Used Adobe Analytics data for intelligent product ranking
  • Initiated Endeca to Solr migration feasibility analysis

Technologies & Tools

SolrEndecaInbenta NLPAdobe AnalyticsJava

Key Learnings

Search optimization has direct revenue impact in e-commerce. NLP can significantly improve user intent understanding. Data-driven product boosting creates compounding returns.

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