Ecommerce ops · Production

Apotek 1 improves search conversion rates by 55.64% with Algolia

The problem

Apotek 1's self-maintained search solution required significant maintenance and customization, consuming team resources that could otherwise be directed toward improvements.

First attempt

The previous customized open source search solution demanded ongoing manual maintenance and custom configuration, including manual per-search ranking updates, leaving little time for improvements.

Workflow diagram · grounded in source
1
Customer initiates search
trigger
“search through the approximately 30,000 products and nearly 1,000 content pieces (such as articles) on the B2C website”
2
AI-powered query processing
ai_action
“the company is using Algolia Personalization, Dynamic Re-ranking, Query Suggestions, Synonyms, and InstantSearch features to search through the approximately 30,000 products”
3
Event-based re-ranking feedback
feedback_loop
“dynamic improvements of the search results based on how our customers interact with the results and category navigation. This is a major improvement around reducing workload for us, and a huge improvement of the quality of each returned …”
4
Ongoing search optimization
human_review
“Most of the day-to-day work with Algolia is around providing small ongoing enhancements and optimization to search. It's things like avoiding unnecessary queries, but also things like adding new fields or campaign indicators that they mi…”
Reported outcome

In Q1 2023, Apotek 1 achieved a 55.64% increase in search conversion rate, a 95.29% increase in browse conversion rate, and a 53.96% reduction in searches over 300ms, while significantly reducing maintenance and configuration time.

Reported metrics
Search conversion rate increase55.64%
Browse conversion rate increase95.29%
Reduction in searches over 300ms53.96%
Implementation time~ 2-3 months
Reported stack
AlgoliaAlgolia PersonalizationAlgolia Recommend
Source
https://www.algolia.com/customers/apotek1
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

In Q1 2023, Apotek 1 achieved a 55.64% increase in search conversion rate, a 95.29% increase in browse conversion rate, and a 53.96% reduction in searches over 300ms, while significantly reducing maintenance and confi…

What tools did this team use?

Algolia, Algolia Personalization, Algolia Recommend.

What results were reported?

Search conversion rate increase: 55.64%; Browse conversion rate increase: 95.29%; Reduction in searches over 300ms: 53.96%; Implementation time: ~ 2-3 months (source-reported, not independently verified).

What failed first in this deployment?

The previous customized open source search solution demanded ongoing manual maintenance and custom configuration, including manual per-search ranking updates, leaving little time for improvements.

How is this ecommerce ops AI workflow structured?

Customer initiates search → AI-powered query processing → Event-based re-ranking feedback → Ongoing search optimization.