Ecommerce ops · Production

Swedol grows conversions 22% and time on site 26% after switching to Algolia AI Search

The problem

Swedol's previous e-commerce search solution lacked flexibility and relevancy, required development tickets for any change, offered no self-serve dashboard, and generated persistent internal complaints that 'the search is terrible.'

Workflow diagram · grounded in source
1
Customer or sales rep browses site
trigger
“their customers and internal teams are now much happier that they can browse products and find what they want with ease”
2
Algolia indexes and sorts product catalog
ai_action
“Thanks to Algolia's ability to index and sort items quickly, Swedol is now able to seamlessly and efficiently pass information to and from the Adobe Commerce hosted site to better manage product assortments, only showing up-to-date and i…”
3
Contract-specific assortments served
output
“Displaying the contract-specific assortments (sometimes, including custom products) to the right customer is key to provide the online experience expected from B2B buyers”
4
Dashboard and analytics enable optimization
feedback_loop
“A combination of speed, relevancy, a self-serve Dashboard, robust analytics, and access to Algolia's Partnership team has been the solution Swedol needs, helping the team to scale and grow their business”
Reported outcome

After switching to Algolia, Swedol's customers spend 26% more time on site, searches increased 7.5%, and the conversion rate rose 22%, directly translating to an increase in revenue.

Reported metrics
Time on site26% more
Search volume7.5% increase
Conversion rate22% higher
Revenueincrease in revenue
Reported stack
AlgoliaDynamic Re-RankingAdobe CommerceAdobe Commerce (Magento)
Source
https://www.algolia.com/customers/swedol
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

After switching to Algolia, Swedol's customers spend 26% more time on site, searches increased 7.5%, and the conversion rate rose 22%, directly translating to an increase in revenue.

What tools did this team use?

Algolia, Dynamic Re-Ranking, Adobe Commerce, Adobe Commerce (Magento).

What results were reported?

Time on site: 26% more; Search volume: 7.5% increase; Conversion rate: 22% higher; Revenue: increase in revenue (source-reported, not independently verified).

How is this ecommerce ops AI workflow structured?

Customer or sales rep browses site → Algolia indexes and sorts product catalog → Contract-specific assortments served → Dashboard and analytics enable optimization.

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