What challenges did Omoda face before AI implementation?

Create an immersive and personalized online fashion shopping experience that mimics the in-store advisor engagement. Improve product recommendation quality and tailor it to customer preferences and fashion trends. Enhance customer satisfaction and commercial performance through AI-driven personalization.

What was the impact of the AI solution?

Achieved 2.5x higher conversion rates among users interacting with AI stylist. Improved inventory management by anticipating fashion trends more accurately. Enhanced overall customer satisfaction and engagement with a personalized shopping experience. Established AI as a strategic asset for Omoda driving commercial success and innovation.

Source

GCP

Omoda enhances online fashion retail with AI stylist powered by Google Cloud

Use case typeConversational supportUpdated Jun 13, 2026

Omoda, a Dutch fashion retailer, implemented AI stylist, a generative AI virtual assistant, to transform online shopping into an immersive experience akin to in-store advisor interactions. The challenge was to improve product recommendations and customer engagement through personalized, conversational AI that understands customer preferences and current fashion trends. The solution used Google Cloud's Gemini 1.5, Vertex AI Multimodal Embeddings, Vertex AI Vector Search, Cloud Run, API Gateway, Cloud Composer, Cloud Storage, BigQuery, Google Analytics, and Looker Studio. AI stylist provides natural language interaction for cohesive outfit recommendations considering brand affinities and purchase history. Users of AI stylist had a 2.5x higher conversion rate, enhanced customer satisfaction, and better inventory management through trend anticipation. Partnering with Rappit enabled rapid deployment and advanced AI integration, supporting the company's innovation roadmap for personalized shopping experience.

Organization: Omoda
Industry: Retail
Location: Netherlands

Reported outcomes

2.5x

quantified impactRevenue & growth

Strategic outcomes

New product / capabilityLaunched an AI stylist shopping assistantCustomer experience & trustCreated a personalized shopping experienceBetter decisions & insightImproved inventory planning from trend anticipationEcosystem & partnershipsAccelerated AI rollout through partner collaboration

Catalog median for revenue & growth deployments: +34% across 150 reported metrics. Compare benchmarks →

Primary read

Use case focus

Showing 3 of 3

1Generative AI Virtual Assistant
2Personalized Recommendations
3Conversational AI

Create an immersive and personalized online fashion shopping experience that mimics the in-store advisor engagement.
Improve product recommendation quality and tailor it to customer preferences and fashion trends.
Enhance customer satisfaction and commercial performance through AI-driven personalization.

Developed an AI stylist virtual assistant using Google Cloud generative AI technologies including Gemini 1.5 and Vertex AI components.
Implemented conversational natural language understanding to engage customers and provide outfit recommendations, incorporating trend and brand affinity analysis.
Leveraged extensive Google Cloud infrastructure for scalable deployment including Cloud Run, API Gateway, Cloud Composer, BigQuery, and analytics tools for continuous improvement.
Collaborated with Google Cloud partner Rappit, leveraging their AI and cloud expertise for quick and effective AI service rollout.

Technologies

Gemini 1.5 Vertex AI Vertex AI Multimodal Embeddings Vertex AI Vector Search Cloud Run API Gateway Cloud Composer Cloud Storage BigQuery Google Analytics Looker Studio

Achieved 2.5x higher conversion rates among users interacting with AI stylist.
Improved inventory management by anticipating fashion trends more accurately.
Enhanced overall customer satisfaction and engagement with a personalized shopping experience.
Established AI as a strategic asset for Omoda driving commercial success and innovation.

Implementation partners1

Rappit

Sources & evidence1

Groundedness: 4/5

Primary source

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