Case study
Product Search Built From Nothing for an Online Print Retailer
How SquareShift built relevancy-ranked product search and autocomplete on Elastic App Search, letting marketing promote products and weight ranking by sales volume without opening an engineering ticket.
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Client
A tech-enabled web-to-print company that lets customers design, customize, and order printed products entirely online, serving B2C and B2B customers globally across signage, apparel, and personalized decor.
Industry
Retail
Services
Stack
Elasticsearch · Elastic Cloud · Elastic App Search
How SquareShift delivered it.
The challenge
The client's website had no product search at all, so customers browsing its large catalog of custom signage, apparel, and personalized decor could not find what they wanted. Marketing had no way to promote specific products or weight results by sales volume.
What we delivered
SquareShift set up a new Elasticsearch instance on Elastic Cloud and built Elastic App Search on top of it, after a discovery and prototype phase to validate the approach before committing to production.
The team tuned search ranking to reflect sales volume and product priority, and added autocomplete and analytics to keep improving results after launch.
The outcome
The website now runs relevancy-ranked product search with autocomplete where none existed before, and marketing can promote products and weight ranking by sales volume without opening an engineering ticket. The client's LiveOps team now manages Elastic Cloud and App Search independently day to day. To add search to your own product, see our AI-powered search.
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Search that only engineering can retune isn't really search marketing owns. Handing ranking control to the people closest to the catalog is what makes it worth maintaining.
Platform & Software Engineering Practice Lead, SquareShift
