AI case study

Düğün.comVendor discovery

Keyword search left well-matched vendors invisible to 400K couples. Now they describe their ideal wedding and the right vendors surface.

Published

Key results

P99 Latency Reduction
51%
Conversions & CTR Growth
2x

Result highlights

Unlock 2 result highlights

The story

Context

A wedding marketplace operating across 14 countries that connects about 400,000 couples per year with venues, photographers, gown boutiques, and other vendors.

Challenge

Keyword-based search matched words in listings rather than what a venue actually offered, leaving well-matched vendors invisible to couples. ML tools...

Solution
Unlock full story

Quotes

The company

Düğün.com logo

Düğün.com

dugun.com

Online wedding planning marketplace connecting couples with local vendors.

IndustrySoftware & Platforms
LocationIstanbul, Turkey
Employees51-250
Founded2007

The vendor

Amazon Web Services (AWS) logo

Amazon Web Services (AWS)

aws.amazon.com

Cloud computing platform and on-demand infrastructure services.

IndustryTechnology
LocationSeattle, WA, USA
Employees100K+
Founded2006

Use case

Düğün.com's Vendor discovery is part of this use case:

Personalization
56 case studies(+80% YoY)
Proven impact?
LowModerateVery Strong
6.7Strong
10.4Very strongwithin Software & Platforms
3.8Moderatewithin Product Engineering

Similar Case Studies

Related implementations across industries and use cases

67 AI case studies in Personalization

339 AI case studies in Software & Platforms

689 AI case studies in Product Engineering