Reinventing fashion retail through AI at scale

NTT DATA and Google Cloud enabled fashion brands to activate artificial intelligence across the value chain, driving personalization, efficiency, and new digital growth models.

AI

Use cases activated

CX

Personalization uplift

Speed

Faster decisions

From inspiration to impact: AI-powered fashion retail

NTT DATA and Google Cloud joined forces to define a joint AI vision for the fashion industry, translating advanced technologies into practical, value-driven use cases across the retail value chain.

Objectives

Help fashion brands unlock business value from AI, accelerate digital transformation, and deploy scalable, ethical, and customer-centric intelligent services.

Opportunity

Fashion retailers face volatile demand, hyper-connected consumers, and margin pressure, requiring faster, smarter, and more personalized decision-making across channels.

Driving Complex Global Transformations

Proven delivery overcoming complex multi-country business challenges

Key Challenges

Fragmented data across digital and physical channels limited customer understanding

Rapidly changing trends required faster insight and reaction cycles

AI adoption was perceived as complex, costly, and difficult to scale

Need to balance innovation with ethical and responsible AI governance

Solution

Defined an end-to-end AI vision covering market intelligence, customer experience, supply chain, and workforce enablement

Designed and delivered AI use cases leveraging Google Cloud technologies such as BigQuery, Vertex AI, Vision AI, and NLP

Established AI Prototyping Labs to move from prototype to production rapidly

Provided a structured methodology covering business case definition, ROAI, governance, MLOps, and scaling

Impact

AI-driven value across the fashion value chain

Enabled hyper-personalized customer experiences across physical and digital channels

Improved demand forecasting, inventory optimization, and operational competitiveness

Accelerated innovation through rapid AI prototyping and scalable deployment

Positioned fashion brands to lead with responsible, data-driven, and customer-centric models experimental deployments that fail to scale.

The structured methodology and prototyping approach enable continuous innovation, with new use cases regularly moving from concept to production as the AI foundation matures and business needs evolve.

Featured
success stories

Empowering field operations through digitalized service management and improving safety conditions trough connected worker technologies

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Retail

Personalized product recommendations that convert

A global specialist retailer increased digital sales by anticipating customer intent through AI-driven product recommendations across web and mobile channels.

Personalized product recommendations that convert

Utilities

Photovoltaic Panel Purchase Analytics

An analytics-driven model forecasts photovoltaic panel prices, enabling smarter purchasing decisions, optimized timing, and improved negotiation through scenario-based insights

Photovoltaic Panel Purchase Analytics