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Business Talk

Reskilling High-Potential Fashion Talent

Fashion retailers must rapidly build digital, data, and AI capabilities. Targeted reskilling unlocks internal talent potential, accelerates transformation, and reduces dependency on external hiring

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Fashion companies face a growing skills gap as roles evolve toward data, AI, and digital operations, limiting the impact and speed of transformation initiatives

WHY THIS “RESKILLING HIGH-POTENTIAL FASHION TALENT” CHALLENGE?

Talent Gaps Are Slowing Down Transformation Execution

Evolving business models demand new capabilities, but relying on external hiring is costly and slow, leaving critical roles underprepared for digital and AI-driven operations

Key benefits

From Skills Gaps to Workforce-Driven Transformation

Building capabilities that directly impact execution

Faster adoption of digital and AI initiatives

Equips employees with practical, role-specific capabilities that accelerate the implementation and scaling of transformation programs

Reduced dependency on external talent

Builds critical skills internally, lowering hiring costs and mitigating risks associated with scarce digital and data expertise

Higher employee retention and engagement

Invests in high-potential talent, increasing motivation, career progression, and long-term workforce stability

Scalable and measurable capability building

Uses structured programs and digital platforms to continuously develop skills aligned with evolving business needs

How NTT DATA helps

01

Assess talent and identify skill gaps

Applies diagnostics to evaluate current capabilities and prioritize high-potential individuals aligned with business objectives

Retail worker in a green shirt and apron uses a tablet while arranging colorful shirts and jackets on racks in a brightly lit clothing store.

02

Enable scalable learning ecosystems

Implements digital platforms for continuous, personalized learning at scale across the organization

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03

Design targeted reskilling programmers

Creates role-specific learning journeys focused on data, AI, automation, and digital operations

Man with glasses and ID badge uses a tablet in a dim data center, with rows of server racks and bright overhead lights blurred behind him.

04

Measure impact and business outcomes

Tracks skill progression, adoption, and ROI through clear KPIs to ensure program effectiveness

05

Align with AI and automation strategy

Prepares teams to work effectively with AI tools and automated processes as part of broader transformation

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Proven impact

Accelerating Talent Readiness and Transformation Outcomes

Results that matter

Measurable Improvements in Talent Readiness, Speed, and Transformation Impact:

Increased readiness of high-potential talent

Focused reskilling ensures employees are equipped with the capabilities required to perform in digital and AI-driven roles

Improved coverage of critical skills

Closes capability gaps across key roles, strengthening execution capacity in priority transformation areas

Reduced time to proficiency in key roles

Accelerates learning and application, enabling faster contribution to business-critical initiatives

Stronger return on transformation investments

Enhances adoption and effectiveness of digital initiatives, increasing the value generated from technology investments

Build a Workforce Ready for Digital and AI Transformation

Advance your talent strategy

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