ecommerce_ops · ecommerce · workflow
Algolia Search helps dm-drogerie markt improve conversions and reduce developer bottlenecks
dm-drogerie markt's search was embedded in a monolithic e-commerce platform with limited extensibility, requiring developer involvement for synonym maintenance and other changes, creating bottlenecks for business users who needed to manage and optimize search independently.
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 · Customer search query
Customers interact with dm's offers by searching for products they are looking for.
Tools used
AlgoliaAlgolia SuggestsAlgolia Analytics
Outcome
dm achieved a 2% improvement in conversion rates and a 1.17% improvement in click rates after deploying Algolia, expanded the solution across all mobile apps and online shops by 2022, and reduced developer bottlenecks so business users can define and maintain rules autonomously.
Results
Volume2%
Cost replacedDecreased maintenance costs compared to Elastic
Running sinceJuly 2021
Grounding & classification
Source type: vendor customer story
23 fields verified against source quotes.
enterprise searchpersonalizationproduct catalogmetric backednamed customerproduction runtime claimedtools describedvendor confirmedworkflow describedretailconversion increasecycle time reductionemployee productivityvendor customer storyecommerce opsextract classify route