Arnau Sanz
Agentic Strategy & AI Transformation LeadKarminaAI StudioAgents · Services · Training
SUCCESS CASE · Retail and Fashion
Zara
This case explains the challenge of Zara, the solution Market Scout and the decisions that allowed it to be applied with knowledge, human control and reviewable results.
StrategyOwn knowledgeProportional permissionsHuman supervisionMeasurement and improvement
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A radar assisted by AI to order signs of culture, fashion, formats and communities with sources, context and human review
In fashion, signals appear at high speed and in different geographies, communities and formats. The challenge for Zara was to observe this movement without turning the AI into a machine that copied aesthetics, creators or emerging brands.
Karmina AI Studio implemented a Market Scout which built verifiable tokens of signals, differentiated evidence and hypothesis and detected repeats between markets. The strategy and creativity team decided what was relevant, what was ephemeral and what did not correspond to use.
Main CTA: Create a cultural radar with criteria CTA Secondary: Discover the Market Scout
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Summary Fact Sheet
- Brand: Zara
- Sector: Retail and Fashion
- Challenge: detect global cultural signals without automating creative decision-making
- Principal Agent: Market Scout
- Complementary agents: Social Listener · Brand Guard
- Service: Cultural and strategic radar
- AI layer: Research, listening and control of cultural and rights risks
- Human role: cultural interpretation, creative direction, rights, representation and decision-making
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El challenge
Speed allows you to see more. It does not guarantee better understanding.
A viral piece may seem like a trend even if it’s just a platform effect. A visible aesthetic in one market can have a different meaning in another. And a community is not a source of free-to-use creative resources.
The challenge was to gain breadth and memory without losing context, provenance or cultural sensitivity.
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The starting point
Specific questions were defined by market, category and period. Each signal was recorded with source, creator, date, geography, format, continuity evidence, related marks, rights, and possible risks.
The system separated official, editorial, community and commercial content, and did not assume that a public content was reusable.
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The Karmina AI Studio approach
The radar combined:
- Market Scout to investigate sources and movements.
- Social Listener to follow conversations and repetitions.
- Brand Guard to review fit, rights, representation and risk.
- Human cultural reading sessions to turn signals into questions, not into creative orders.
The AI helped connect distant observations and maintain the historic. He did not design the collection or decide the story.
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How it worked
- Definition of the focus and markets of the cycle.
- Collection of authorized sources and public content for observation.
- Classification of signals with evidence and degree of confidence.
- Comparison between periods and geography.
- Review of rights, biases and possible appropriations.
- Delivering a brief radar with implications, gaps and questions for the team.
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Governance and Limits
- The system did not copy pieces, patterns or creator identities.
- Public content was not considered reusable without permission.
- Inferences about people or communities were avoided.
- A signal correlation was not presented as a confirmed trend.
- Creative and commercial decisions remained under human responsibility.
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Results
The system expanded source coverage, maintained comparable memory, and reduced collection time. The team received fewer disconnected examples and more tokens with provenance, context and useful questions.
Main results: More well-documented signals, better comparison between markets, fewer repetitions on the radar and decisions with more cultural context.
YOUR START POINT
Tell us what you want to transform.
A summary of the challenge, the current process and the expected result is enough to begin to value a route of its own.
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Related agents and services
- Market Scout: Research with evidence.
- Social Listener: Conversation and repetition.
- Brand Guard: rights, fit and risk.
- Cultural Radar: methodology, interpretation and decision-making sessions.
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Closure and CTA
The AI can broaden the look. Cultural criteria cannot be delegated.
The team
The team that connects strategy, implementation and monitoring
Ignasi Llorente
AI Partnerships & Business Director
Martina Díaz
AI Finance & Business Intelligence Director
Daniel Mallén
AI Operations & Workflow Lead
Eva Trigo
Generative Creative Director
Ariadna Miranda
AI Administration & Knowledge Operations Lead
Claudia Gonzalez
AI Client Success Manager
Jonan Basterra
AI Social Strategy Director
Laura Sabio
Agentic Social Media Lead
Agustina Córdoba
Content AI Specialist
Alba Gómez
Social Listening Specialist
Paola Cudeiro
AI Client Success Specialist
Roger López
AI Project & Workflow Specialist
Mar Berzal
AI Content Strategy Lead
Andrea Gallego
Community Intelligence Specialist
Candela de la Fuente
Content AI Specialist
Blanca Gómez
AI Community Operations Specialist
Cintia Armajach
Content AI SpecialistLet’s talk
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