Fashion In the Age of Digital Swipes: A Conversation with Yashika Yadav

 Ever wondered whether technology and creativity belong on opposite sides of the fashion industry? 



If you've ever wondered whether technology and creativity belong on opposite sides of the fashion industry, this conversation might make you think differently.

The future of fashion is not simply about creating better designs, it is about understanding how technology, data, and creative thinking can transform the way ideas become products. Our next guest’s journey reflects this intersection, moving from apparel production and merchandising to creative operations and Generative AI. With experience across sourcing, production coordination, brand development, and fashion styling, Yashika Yadav brings both technical understanding and creative curiosity to an industry constantly being reshaped by technology.

Joining us today is Yashika Yadav, a Fashion Technology graduate from NIFT Delhi and Generative AI enthusiast exploring how structure and creativity can work together to build better possibilities.

Let's dive into a conversation about fashion technology, Generative AI, creativity, career transitions, and building a future where innovation meets the art of making.


Q1. Your background combines fashion technology, apparel production, and now an interest in

Generative AI. How do you see technology transforming the way fashion products are designed,

produced, and delivered?

Ans. Technology in fashion today comes down to three areas: information technology, AI, and manufacturing/industrial tech — all driving faster development, greater efficiency, and quicker response to market demand.

In design, AI and digital tools allow designers to sample, fit, and test virtually, enabling faster

iteration and more experimentation. Research — trend analysis, competitor scans, consumer

insight — is also faster with AI support. In production, factory floors now use automation,

digitized production tracking, and AI/ML-driven quality checks. In retail and distribution, AI-driven

demand forecasting has become far more accurate, improving inventory planning and allocation.

Overall, technology is compressing timelines across the value chain — from concept to shelf —

while making the industry more responsive to real demand.

So overall, I'd say technology is compressing timelines across the whole chain, from concept to

shelf, while making the industry a lot more responsive to real demand."

Q2. During your experience in sourcing, merchandising, and production coordination, what are

some challenges in the fashion supply chain that you believe technology can solve effectively?

Ans. In my experience with sourcing, merchandising, and production coordination, the biggest

challenge is the decision-making process — specifically, communication that involves multiple

stakeholders at once, which slows things down at every stage. Technology can address this by

streamlining communication and centralizing information, making decision-making faster and

more efficient. If applied effectively, this would benefit the entire supply chain.

Q3. You have worked on understanding fashion marketplaces and how platforms create

competitive advantages. In your opinion, what will define the future winners of fashion

e-commerce — better supply chains, stronger discovery systems, personalization, or something

else?

Ans. In my view, personalization will be the primary driver of future fashion e-commerce winners.

The upcoming generation is increasingly centered on individuality — they want to discover brands

and styles that align with their personal identity, not generic trends.

This will be enabled by stronger, more specific discovery systems tailored to individual

preferences — an area that exists today but will need to become far more precise. Finally, to

actually deliver on this personalization at scale, supply chains will need to be more streamlined

and optimized, ensuring the right products reach the right customers quickly.

So while all three factors matter, personalization will set the direction, with discovery systems

and supply chain efficiency as the enablers that make it possible.

Q4. Fashion involves both creativity and operational precision. Through your work in production

and brand-building, how do you balance creative vision with practical constraints like costing,

timelines, and manufacturing limitations?

Ans. I believe vision must always come first — it's the purpose and mission behind a brand, and it

should never be compromised due to constraints. Practical challenges like costing, timelines, or

manufacturing limitations are inevitable, but I approach them as problems to solve, not reasons

to dilute the vision. There is almost always a workaround or mitigation strategy if you look for it.

Compromising the vision itself would mean weakening the founding pillar the brand is built on —

so my approach is to protect the vision and adapt everything else around it.

Q5. Your exploration of Generative AI includes prompt engineering, AI tools, and content

creation. How do you think AI can empower fashion professionals without replacing the human

creativity behind design and storytelling?

Ans. I believe there's often a misconception around AI and creativity. AI is trained on existing

data, so it cannot originate genuinely new ideas — it works from what already exists. In that

sense, it's an enabler, not a creative source.

Creativity itself is a process — identifying a problem, understanding who you're solving it for, and

arriving at an original idea or a fresh execution of an existing one. AI doesn't replace this process;

what it does is reduce the time and effort designers spend on execution, allowing them to focus

more on ideation. With that support, professionals can explore more ideas and possibilities,

while the original creative vision and storytelling remain entirely human.

Q6. While working with brands and vendors, you have experienced the journey of turning a

design concept into a finished product. What is one underrated part of fashion production that

consumers usually do not see?

Ans. An underrated part of production is sampling and fitting — the repeated rounds of

adjustment in fit, fabric, and construction before manufacturing begins. Consumers see only the

polished final product, unaware of the coordination and iteration between designers and vendors

that shapes it.

Q7. You conducted a comparative analysis of fashion marketplaces and highlighted that

discovery is becoming a key differentiator. How do you think consumer behaviour in fashion

shopping is changing with the rise of AI recommendations and digital platforms?

Ans. Consumer behaviour is shifting toward highly personalized, discovery-led shopping. Instead

of actively searching, consumers now expect platforms to surface relevant products through

AI-driven recommendations tailored to their style and preferences. Digital platforms are also

making shopping more visual and social, blurring the line between inspiration and purchase. As a

result, discovery itself is becoming a key competitive differentiator, shaping loyalty and

engagement more than price or selection alone.

Q8. As someone at the intersection of fashion, technology, and business, what skills do you

think future fashion professionals need to develop to stay relevant in an increasingly digital

industry?

Ans. Future fashion professionals will need strong trend understanding and forecasting ability —

the capacity to anticipate where the industry is heading rather than just react to it. Alongside this,

digital fluency and comfort working with data and AI tools will be essential, enabling

professionals to translate foresight into timely, informed business and creative decisions.

About Conversations by Brains in You

Conversations by Brains in You is a curated interview series featuring students, professionals, entrepreneurs, creators, researchers, and changemakers whose journeys offer meaningful lessons beyond conventional achievements.

Rather than focusing solely on titles or milestones, each conversation explores the decisions, experiences, challenges, and perspectives that shaped the individual behind the profile. The aim is to create a growing repository of practical insights that help students and young professionals navigate their own careers with greater clarity, productivity, integrity, and purpose.

Every featured conversation is thoughtfully selected with the belief that authentic experiences can inspire informed decisions, lifelong learning, and better human development.

Comments

Top Perspectives