Zeeman improves Search performance and gives customers a 'remarkably simple' experience with Algolia
Zeeman's website crashed in October 2021 after a popular campaign overwhelmed its existing search engine, causing downtime and revenue loss. The company needed a stable, scalable, and future-ready replacement aligned with its commitment to simplicity.
The existing search engine was identified as the root cause of the crash and could not scale under high-traffic conditions, prompting Zeeman to replace it with an external cloud-based solution.
After deploying Algolia, Zeeman achieved stable and high-performance search across seven countries, with improvements in conversions year-over-year, a notable increase in average order value, reduced cart abandonment, and increased revenue, while eliminating prior downtime issues.
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Frequently asked questions
What did this team achieve with this AI workflow?
After deploying Algolia, Zeeman achieved stable and high-performance search across seven countries, with improvements in conversions year-over-year, a notable increase in average order value, reduced cart abandonment,…
What tools did this team use?
Algolia, Algolia Recommend, Merchandising, AI Synonyms, Adobe Commerce (Magento).
What results were reported?
Conversions: improvements in conversions year-over-year; average order value (AOV): notable increase in average order value; Cart abandonment: reduction in cart abandonment; Revenue: increased revenue (source-reported, not independently verified).
What failed first in this deployment?
The existing search engine was identified as the root cause of the crash and could not scale under high-traffic conditions, prompting Zeeman to replace it with an external cloud-based solution.
How is this ecommerce ops AI workflow structured?
Website crash triggers search replacement → Algolia MVP deployed in two weeks → AI Synonyms and Merchandising optimization → Search bar placement test → Algolia Recommend implemented.