Better helping customers
The pharmacy company takes pride in its ability to help its customers in-store find what they are looking for, so it’s no surprise that its IT partner recommended taking on a more guided approach to search online.
Apotek 1 was using a self-maintained search solution that had a lot of maintenance issues and required a great deal of customization. They needed an easier solution that would free up time and work better for the company overall.
Solteq project manager Kristoffer Fuchs and software solutions architect Martin Rogne recommended Algolia, which members of the product team at Apotek 1 were already familiar with. The company took the advice and implemented Algolia in the fall of 2022 on its B2C website for all non-prescription products. (The nature of prescriptions makes search less relevant to the customer experience.)
After a short “soft switch,” in which the company maintained its existing front end, Apotek 1 saw immediate performance improvements with average search speeds dropping dramatically, but perhaps most importantly it succeeded in reducing maintenance and configuration time.
“It just works!” Rogne says. “It fully provides a fast and easy-to-use search solution that provides a great overall customer experience with little maintenance.” Most of the time spent using Algolia is on the improvements that Solteq and Apotek 1 continually perform on the site.
“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 might want to facet on,” says Martin Rogne, software solutions architect at Solteq.
He suggests that when dealing with Algolia, no news is good news. The company doesn’t have tasks related to outages or slowdowns, only administering incremental improvements.
As one of those improvements, the Solteq team at Apotek 1 is currently in the process of implementing Algolia Recommend.
Currently, the company is using Algolia Personalization, Dynamic Re-ranking, Query Suggestions, Synonyms, and InstantSearch features to search through the approximately 30,000 products and nearly 1,000 content pieces (such as articles) on the B2C website.
