Algolia becomes a key ingredient in Breville Group's global ecommerce stack
Breville was consuming most of its engineering bandwidth managing a self-hosted Solr search infrastructure, leaving insufficient focus on consumer-facing experiences. As the company invested heavily in inspirational content such as recipes mapped to appliances, making it accessible with the existing setup would have required a significant additional engineering commitment.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Consumer searches Breville site
Consumers visit Breville's website to navigate the many choices and decisions that lead them to the right products and outcomes.
Tools used
AlgoliaSolr
Outcome
With Algolia, 1 in 5 search users make an online purchase, conversions and attachment rates improved, and the engineering team was refocused on high-value consumer experience development instead of search maintenance.
What failed first
Breville's self-managed open source Solr search infrastructure was too demanding on engineering resources and could not scale to support the company's growing content and ecommerce ambitions.