Case Study: Ingram Micro achieves 50% conversion-rate improvement with Elastic

Ingram Micro chooses Elastic to bolster search, sales on ecommerce site

Ingram Micro, a Fortune 100 technology and supply‑chain leader with $50B+ in revenue operating across 56 countries, runs a massive B2B eCommerce site cataloging over 20 million products. Because 70% of visitors go straight to search (and 70% of products added to cart come from search), poor results from their legacy Endeca system — 20+ second query times, 8–24 hour catalog updates, low relevance and conversions — created a critical need for a high‑performance, scalable, highly available, and flexible search solution.

They implemented Elastic (Elasticsearch Service), piloting in Canada in 2018 and rolling it out globally while adding multiple clusters, indexed sources, and Elastic tools (Beats, APM, Machine Learning, Kibana, Canvas) for monitoring and optimization. The move boosted eCommerce conversion by 50%, improved search relevance by 35%, reduced null results by 30%, and delivered faster indexing and better observability for ongoing improvements.

Ingram Micro

Andre Dykhno

Head of Product for Global ecommerce