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?
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.
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